How it Works

How it Works

DBcloudbin is designed for reducing your database size by moving binary content (those documents, images, pdfs, …) that many applications store at the database, to a optimized and cheap cloud object storage.

The nice part is that you don’t have to modify your application to do that. We take care of you application data model to make it compatible with the SQL interaction from your application layer, while enabling you selectively to move content outside of the database, reducing dramatically its size (and, as a logical consequence, the infrastructure and operational costs). Check our detailed savings information and calculator.

  Just download, setup and & move your data to the Cloud!

DBcloudbin is simple and effective. You have to run the installer, identify the database schema of your application, select the tables with binary (BLOB) content that are suitable of moving to our object store and it is all set. We provide a CLI command (dbcloudbin) to execute the common tasks as executing archive operations (dbcloudbin archive). In this scenario, you just define the subset of your managed tables you want archive based on SQL logical conditions and (optionally) the -clean argument to erase the BLOB from the database freeing its consumed space. The data is securely stored in our Cloud Object Store and a reference of the location (as well as a encryption key) is saved in your database. When your application issues a SQL query (the same query the application did before dbcloudbin installation), if the data is present locally, it will be served locally; it if is stored at our Cloud Object Store, the database will silently fetch it from our system and serve it to the application, as if it were locally, just with a slightly higher latency. From a application perspective, no changes.

We take very seriously security, both from a data access/data loss perspective and from a data integrity perspective. Check our detailed information on security and data integrity.

Curious? Just check it!! In a nutshell, this is the process:

  • Check out our trial and register for the service.
  • We will provision 5GB for free for you in our Cloud Object Store, send you the link to our installer and the service credentials.
  • Identify a non-production Oracle database and your application instance where you can test the solution.
  • Run our setup wizard. It will do everything for you, including the datamodel adaptation… Check for detailed setup instructions.
  • Test your application to check that it keeps working as expected.
  • Run the dbcloudbin archive command to move the subset of content that you decide to our Object Store. Check how the application behaves… it is transactionally consistent, you can do it with your application online!

  Where you can use DBcloudbin?

We define the ideal scenario as:

  • You are a company with large Oracle, SQL server, DB2UDB databases (currently we support Oracle and SQL Server; other RDBMS coming shortly).
  • Some of the applications storing data are internally develop (or at least internally controlled). Our solution would in most cases work for closed-source commercial apps, but the typical license agreements will prevent the data model modifications we do for integrating with an external Cloud Object Store service.
  • A relevant amount of content stored by application is binary content (documents, videos, pictures, ….) and is stored in the database.
  • You have a non-production environment where you can test your application compatibility.

Not sure if your database meet the criteria? Run our RoI tool to check sizing of potentially archivable and get the potential saving figures!

DBcloudbin Solution Architecture

Our architecture is neat and simple. All the complexity is hidden under the covers. We use an DBcloudbin agent (installed as a service in a Windows or Linux host)  to act as a bridge between your database and our Cloud Object Store service. A ‘dbcloudbin’ user and schema in your database will hold the configuration settings. The installer will adapt your application’s database model to be able to hold the identifiers of the content moved to DBcloudbin Object Store and keep it ‘SQL client compatible’ (so the existing queries, insert, update and deletes your application was issuing before installation, keep working with the new model). And that’s all!!

  Doubts? keep reading…

What about performance?

Our experience demonstrates that, in many cases, the performance is even better after archiving your BLOB data. The reasons for that claim are:

  • Insert operations go always to the database. Moving data to the cloud is an asynchronous, decoupled operation. No impact.
  • Read operations of binary data (documents, pictures, …) are in most cases a ‘human action’ (e.g. an operator opening a document in a web interface). Human interactions are in a order of magnitude of seconds, where databases work at millisecond scale. A slightly higher latency you may suffer (providing you have a reliable and performant Internet connection) are almost imperceptible for the human interaction.
  • Our solution is backed by a top-class Google Cloud Platform infrastructure with high-end, redundant and parallel service infrastructure.
  • The dramatic reduction in size in your database after moving the ‘fat’ data to our storage, will produce among other benefits, a much faster processing of those relational queries that do have real impact on performance (e.g. listing or filtering or reporting data in your application by different criteria). So the end-user will perceive a much more responsive application.

Who can see my data?

Only you :-). More precisely only your database schema and those database users you have allowed to do so. We don’t break the RDBMS security model, so your data keeps as secure as it was before. The same users and roles that had access to the data, will keep having access, and no other ones. When moving data to our Cloud Object Store service, we generate a secure random key to encrypt the content with a secure AES cipher on the fly, storing the key at your database table. So the content lands in our service ciphered, with no possible access to the key. In addition, the transmission channel is secured with an SSL connection.

So, yes, you still have to keep backing up your database; if you loose your database you loose your keys (and hence, your content). But baking up your database with a e.g. 80% reduction in size (the content reference is just a few bytes) is a much easier (and cheaper!) story.

I have a object store and want to keep on-premise

No problem, we have a pluggable architecture where our solution can talk with a variety of Object Store technology from the main manufacturers (Hitachi, Dell-EMC, IBM,…). We can provide you a custom implementation on-premises. Just contact us and tell us your requirements.

I have my own Cloud Service Provider

That’s fine. We can provide you the logic of the service and you provide the storage directly from your Cloud Service Provide. We support S3 object store as of today. We can provide you a virtual appliance with our solution deployed in your own service provider account. Again, contact us and tell us your requirements.

Are you a service provider and want to include DBcloudbin service in your portfolio? contact and we will discuss further.



Installing DBcloudbin cannot be simpler. We do all the heavy lifting for you behind the scenes, with a wizard based setup. The installer will deploy the software, configure it, connect to your database, analyze your datamodel, identify those tables with binary content, present them for your selection (with the current net storage size of each one) and adapt the data model in order to enable the transparent content movement to our Cloud Object Store.

Let’s go with the details… (additional configuration information is described in the setup tool itself; read carefully while installing).

Installation strategy

First thing first. Let’s discuss the main options:

  • Single server installation: This is the simplest setup, valid for small or test environments. In this case, we install everything in one server, that may be the database server or a different one. It depends on your own preferences and if your database is deployed in a DBcloudbin supported platform (check below).
  • Multi-server (clustered) installation: This is the recommended scenario for a production deployment where we need to provide high availability and horizontal scalability. In this case, we install the DBcloudbin agent in multiple servers, allowing the database to send requests to any of them. In this case, we have two additional options:
    • DB in-host install: Assuming we have a DB cluster with more than one node we may install the DBcloudbin agent in each DB cluster host (providing it is a supported DBcloudbin platform from a OS perspective). This way, we simply configure each DB cluster host to connect to the local DBcloudbin agent; high availability is provided by the DB cluster itself. This is the simplest clustered setup.
    • DB external install: In this scenario we install the DBcloudbin agent in several host nodes that are independent from the DB hosts. We do not require any clustering software; the only requirement is set those hosts in a TCP multicast enabled LAN network. In this scenario, we need a network load balancer (NLB), hardware of software, providing the cluster name to be used by the database when sending requests to DBcloudbin agent (they are standard http(s) requests through a configurable port). So, if we configure the DBcloudbin agent to listen at port 8090, and we setup three hosts where installing the agent, we need to configure a NLB with a FQDN (e.g. “dbcloudbin.myintranet.dom” in the load balancer that provide http balancing for incoming connections to port 8090 onto the three cluster nodes; in this scenario, we will configure the DBcloudbin setup providing “dbcloudbin.myintranet.dom” as the agent host and 8090 as the agent port).

This is the may decision to be planned when installing the software. Let’s see the supported platforms.

Supported platforms

An important topic to be clarified here is that by “supported platforms” we mean OS platforms where DBcloudbin software is installed, NOT OS platforms where the Database is installed. If your database is installed in a DBcloudbin supported platform, you have the option to install DBcloudbin in the same DB host; but if it is not, you can still use our solution, but installing it in a independent host that meets our supportability criteria. By ‘supported platform’ we mean platforms where we can accept and commit processing support requests; there is a much broader list of platforms where our software works (basically any modern version of Windows / Linux and many UNIX flavors) but we can only support in a best-effort model (contact us for any additional clarification on supported scenarios).

So, in summary, we have no restrictions on the OS platform where your Database run; just where our software is installed.

Our currently supported OS platforms for DBcloudbin software installation are:

  • Windows Server 2012, Windows Server 2012 R2, Windows Server 2016  — x64 OS versions
  • RedHat Enterprise Linux 7 or newer.
  • CentOS Linux 7 or newer.
  • SUSE Linux Enterprise Server 12 or newer.

In addition, for the DBcloudbin command line (CLI) tools we support Windows 10.

We require a Java JRE v8 x64 installation in the DBcloudbin server. Install it in advance from Oracle java website.

From a database manufacturer and version perspective, currently we support any Oracle supported 11g or 12c edition, including express edition. Support for 18c is underway. Contact us for details.

Installation modules

DBcloudbin setup installer is comprised of four modules, designed to be potentially executed several times, depending on your requirements and deployment strategy (due to this reason, we don’t register the installation in Windows registry and it does not appear in the server ‘Installed applications’).

  • Database server preparation: Once per Database environment. Required as initial setup to have a functional environment.
  • Database schema preparation: Typically once per Database schema (one application typically uses one database schema). Required for at least one schema (the schema where our application stores the data)
  • Agent installation: One per host where the agent will be installed (depending on your setup strategy described above). Required in at least one host. It may be the same database host.
  • DBcloudbin tools installation: Command line tools (CLI) installation. Once per host or workstation where we need to execute the CLI.

When executing the installer, we can select or deselect those modules, so the installation comprises those parts required. In an initial test setup, we will typically select and install all the modules in a host.

Depending on the modules selected, the installation wizard will present the different information gathering panels and checks, in order to generate a correct installation.

If you are planning to install the agent in several hosts (either at the database hosts or independent hosts) it is important to activate the check of ‘Clustered agent installation’ (in Agent data panel if Database Server preparation module is selected) . This will ensure that all the agent instances in the cluster share and get notified any configuration change. A multicast TCP enabled LAN network is required so that all the agent nodes can automatically detect each other. If you already have a non-clustered installation and need to upgrade to a clustered setup, please go to your My-account section in our website and file a support request for configuration instructions through the CLI.

Information to be provided

As a summary, the information you need to collect in order to successfully deploy the solution is:

  • DBcloudbin service license: You have to provide your service id and license. This information is generated once you order the DBcloudbin trial and will be sent to you by email. Access the here to request or, if already registered and ordered, here to get the order status and licensing information.
  • Database sysdba credentials: Some setup processes (e.g. defining security configuration to allow the connection from the database with our DBcloudbin agent installed) requires sysdba privileges. This is ONLY required during setup. We will not store nor use those credentials during the solution operation; DBcloudbin will use a low-privileged database user to create a configuration schema and store configuration settings; this user is automatically created during setup with the password defined by you.
  • Schema credentials: In order to automatically adapt your application datamodel during setup, we require the database credentials for the user that is the application tables owner. The setup will automatically inspect the datamodel and identify those tables that has binary fields (BLOB attributes). Based on that list of tables, you will have the option to select all the tables or a subset of them. You will only be able to archive data from the tables you select at this stage. However, it is supported to re-run the installer again, select the module “Database schema preparation” and select additional tables from the same or different schema if you change your opinion and decide to move data from additional tables/schemas.

It is important to notice that the setup tool will NOT move any data to DBcloudbin Cloud Object Storage. The setup is only adapting the environment to enable this operation. For effectively moving data to the cloud, you have to execute the CLI (see below) either interactively or through a scheduled task at your server.

Windows installation

We provide a graphical user interface for the windows installer. Just double-click on the DBcloudbin-setup.exe and follow the installation instructions. The setup will request Administration rights in order to properly create the installation directory and install the agent service (a DBcloudbin-agent service is installed in the server when selecting the “Agent installation” module.

In the case you need to use a command line based installer (e.g. installing through a console interface) follow the following procedure:

    • Download the Linux installer (it is a java jar file).
    • Open a Command Line console with Administration rights.
    • Execute the installer through the command “java -jar <setup jar file name> -console”

Important note for windows users:

When downloading the DBcloudbin-setup.exe file through a desktop or server with Microsoft Antimalware executable installed and active, the server may take a very long time analyzing the file and preventing its execution (the exe is in fact a large java jar file packed as windows executable and Microsoft Antimalware is extremely inefficient analyzing these type of files). We recommend to close the browser used for downloading the file as a way to cancel the analysis. By other hand, even if DBcloudbin setup is properly signed with our company signature (“Tecknolab VAS SLU”) in order to avoid potential virus corruption, when executing the setup, windows will by default block the setup with a warning message “Windows protected your PC” and a link with “more information“. Opening the link will correctly show the file signature and allow to execute it.

Some Windows users have reported us that once downloaded and executed the setup, it generates a message of “corrupted jar file“. In this case, the file is in fact not correctly downloaded and the signature is lost, due to a incompatibility of some Windows versions or specific browser version with our software download portal. We are still investigating the problem to identify the root-cause; in the case of a scenario like this, please, open a support ticket through the My account area and we will promptly provide an alternate download mechanism.

Linux installation

The Linux based installation is very similar to the Windows installation (the graphical interface is exactly the same) with the following caveats:

  • The installation is run by executing the provided setup jar, either double-clicking on it or running in a command line “java -jar <setup jar file name>”
  • You can use a command line or graphical interface for setting up DBcloudbin. As expected, the graphical interface is more intuitive but both provides the exact same results. Use the option -console for a console based interface.
  • From a security perspective, we recommend to use a non-root user for installing DBcloudbin. The DBcloudbin-agent service will run using the user that executes the setup, so it is convenient to use a non-privileged user. However, during setup this user will require sudoable rights (with no password). Those rights can be temporarily granted during setup only (see the detailed instructions below).
  • We require a systemd (systemctl) distro in order to setup the DBcloudbin-agent service correctly. If it is not available, the setup will fail.

Detailed recommended instructions:

  • Create a linux OS user (e.g.):
sudo useradd –d /home/dbcloudbin dbcloudbin

sudo mkdir /home/dbcloudbin

sudo chown dbcloudbin:users /home/dbcloudbin
  • Check that you have installed java 8 64bit. Otherwise install it from Oracle website.
java -version
  • In order to run the installer graphical interface, you may need to enable xhost in your current session. E.g.:
xhost +
  • Run a shell with dbcloudbin user
sudo su – dbcloudbin
  • In order to run the graphical interface instead of the command one, you may need to set the DISPLAY variable to your local session (providing you are running a graphical linux interface):
export DISPLAY=:0.0
  • Make it (temporarily) sudoable without password (procedure may vary depending on the linux distro). E.g.:
sudo /usr/sbin/usermod -aG wheel dbcloudbin
  • Execute the installer
java –jar “DBcloudbin-Setup-<version>-<build>.jar”
  • Follow the setup instructions. If you want to change the default setup dir (/home/dbcloudbin/DBcloudbin) you should create it previously (e.g. mkdir /opt/dbcloudbin; chown dbcloudbin /opt/dbcloudbin)


Checking the installation

Providing that the installation is successful (otherwise, please goto my-account and file a support request), we should check that the solution is working correctly.

The typical and most frequent source of problems is the connectivity from the database with the agent, the agent with DBcloudbin Cloud storage and the command line tool with the database and the agent. So we have to make sure that those connections are possible and there are no problems (routing / firewalling) preventing them.

So, in summary:

  • Database hosts have to be able to connect to the agent through the defined port (8090 by default or the one defined at setup).
  • DBcloudbin agent have to be able to connect through https (port 443) to
  • The CLI have to be able to connect to the database (using the configured credentials, see CLI section below). This typically suppose ability to reach the database listener in the configured port (by default in Oracle, 1521). The CLI has also to be able to connect to the agent using the same agent host name and port defined in the setup. So, if we configured “” as the agent host name in setup, the workstation or server where we execute the CLI has to be able to correctly resolve and connect to that DNS address.

Checking that everything is working properly:

  • Verify that the agent have started OK after installation:
    • Windows. Go to the Windows services and verify that the “DBcloudbin Agent” is installed and running. Go to <INSTALL_DIR>/agent and open the log file (agent_out.log). You shoud see a message like “Started Launch in xxx seconds (JVM running for xxx )”.
    • Linux. Run systemctl status –l DBcloudbin-agent. You should see a state “active (Running)” and the log should show a message like “Started Launch in xxx seconds (JVM running for xxx )”
  • Verify connectivity with the agent
    • Now, check that you can reach the agent from other server (specifically from the DB host). If you cannot this may indicate a connectivity/firewall problem
    • Open a browser from the database host and open http://<installation_agent_host_ip_or_name>:<agent_port>/rest/blob/read?id=test . This should generate a “forbidden” response. If you check again the agent log this operation should get logged. In any other case, please verify your communications / firewall setup. The agent port should be open in any active firewall (e.g. in the own host firewall; depending on your windows/linux flavor the correct configuration may vary).
  • Verify connectivity with DBcloudbin Cloud Object Store.
    • From the agent host, open a browser and connect to This should generate a “forbidden” response. If you see any other error, please check your outbound internet firewall setup.
  • If the checking is correct, just try using the CLI (it should be installed in <INSTALL_DIR>/bin). See the section below.


We love that our customers use our technology but if they don’t want it, we ensure they have an easy way to restore their original setup, both in the DBcloudbin host and in the database. Upon install we put an uninstaller in the <INSTALL_DIR>/uninstall folder. Just execute “java –jar DBcloudbin-Uninstall.jar” and follow the uninstaller instructions for restoring everything . After full uninstall you should only have the <INSTALL_DIR>/uninstall folder with the uninstaller jar. Just delete them manually.

If you have executed the setup several times (e.g. for installing agent instances in several hosts or for adapting several database schemas) you should run the uninstaller also several times, in the reverse order. (e.g. first uninstall the agent in all the additional hosts where you installed it and finally, uninstall the other modules; the “Database Server Preparation” should be in the last execution).

CLI operations

Once setup, DBcloudbin is easily managed through our CLI. In <install_dir>/bin you have a dbcloudbin command tool. Executing with no arguments you can see the different command verbs. Adding -help option to each command verb, you can see the detailed information on usage, options and arguments.

  • Authentication

As we describe in greater detail in our security documentation, DBcloudbin integrates seamlessly with the own database authentication and authorization mechanism so, in order to execute commands to move back and forth content from your database and DBcloudbin Cloud Object Storage, you need to provide correct database credentials as schema owner (that is, the credentials of the datamodel owner; substantially, the ones provided for datamodel adaptation in DBcloudbin setup).

The simplest and more transparent way of doing this is maintaining checked the option provided in the schema model adaptation panel, as shown below in the setup screen figure. If checked, the setup will automatically store those credentials in the OS profile for the user that executed the installation (in the local host where the setup was executed). Those credentials are stored encrypted.

Alternatively, or in the case we have to manage several database schemas (e.g. we have several applications hosted in the same database each one with a different schema), we need to identify the credentials to be used for any archive / restore operation. This is done through the set-credentials verb where we associate a symbolic profile name to a set of credentials (that is, database, host, port, user, password). Once set-up just use the option -session <name> to define the session credentials we want to use. In the case we don’t define a name, those credentials will be considered as the default credentials.

  • Archiving (move data to DBcloudbin Cloud Object Store)

We use the “archive” verb to copy or move binary (BLOB) data from the managed tables to DBcloudbin Cloud Object Store. Copy or move is governed by the -clean option. We can opt by only copy the data to DBcloudbin Object Store but not deleting it from the database (acting as a sort of backup storage). Using the -clean option, we will effectively move the data, deleting if from the database. This is done through a very secure process to guarantee that the data is only cleaned from the database if it is completely secure at our repository (see our data integrity post for details).

The -where option gives a simple and effective way to provide an arbitrary criteria for defining the rows that will be affected by the operation, allowing us to define  the subset of rows that we will move. The argument should be a valid SQL where clause based on our table attributes.

So, if our table “foo_table” that contains our BLOB data has a “modified_date” attribute of type datetime , we can execute an archiving command (and move data not modified in the last e.g. 30 days to DBcloudbin) by issuing:

dbcloudbin archive -clean foo_table -where "modified_date < sysdate - 30"

Including this  command in a scheduled tool running for example daily, we will ensure our older data is moved to DBcloudbin to free up space in our database, while maintaining access to this information through our application as before.

  • Restoring (move data back to our database)

The restore verb is the opposite to archive verb. With restore, we can move data back to our database, either because is a defined policy or because we want to uninstall the solution (we require a full restore of the information before executing a uninstall in order to avoid any data loss).

In the example above if we want to make sure that our hottest data is kept at the database, we should schedule a command like this:

dbcloudbin restore foo_table -where "modified_date > sysdate - 30"

If the data is already at the database, the command has no effects.


We have described the main topics regarding DBcloudbin installation and configuration. In the case of doubts or problems, please don’t hesitate to fill a support request through you My-account section.

That’s all folks; go ahead and request your trial!

Savings… ($$$)

Savings… ($$$)

The main driver for DBcloudbin solution is enhancing our customer’s infrastructure efficiency and saving money.

Our solution is orders of magnitude cheaper in a per mega-byte criteria than the tier-1 storage infrastructure that typically our Enterprise databases are using. In addition to that, there are many related costs that are affected as well, starting from backup infrastructure and ending at administration costs.

Are you aware on how many space is the binary data inside your main application’s databases using? The potential savings if you move this data to a more efficient storage?

In order to calculate those savings in your specific scenario we have designed a simple RoI tool that you can download and execute. This collector tool will connect to your database in read-only mode  (you have to provide credentials for accessing your application tables), will read the volume of data that is potentially optimized using DBcloudbin solution (we only calculate volumes, not any specific data stored in your database). With that information, we open a form where you can customize the costs information to your specific scenario (or use the provided defaults). With all this info, we will send you by e-mail a savings report (See this one as sample)

Dowload our RoI tool!



Your data is securely stored in your database and we want to ensure that it keeps secure when offloading to the cloud. We have designed our solution in order to meet stringent security criteria and ensure only authorized entities can access the data. In addition, we have defined a very strict process in the information life cycle in order to ensure data integrity. You have additional information on our data integrity measures here.

From a security standpoint our design criteria is tight integration with the database security model. This ensures a predictable security schema where the security principles of your application are not broken by the fact that a new cloud object store is added to the equation.

Going through the details:

  • Database schemas: we only create one additional schema and user (dbcloudbin) where only configuration information and a shared secret mechanism is stored. The only external entity that is required to connect to the database with this user is the DBcloudbin agent. The user credentials are explicitly defined at setup (so you can ensure they follow your organization specific security policies) and stored encrypted. In any case, this user has minimal grants and, very important, has no access to any actual application data schema.
  • Shared secret: the DBcloudbin agent requires authentication credentials for any BLOB read operations. Those shared secrets are securely generated and stored at the database so, only the DBcloudbin agent and the database schema owner has access to read it. In any case, the DBcloudbin agent only serve data on requests that has provided a correct BLOB identifier; this identifier is stored in the application owner schema and basically imposible to generate by brute force.
  • Encrypted communications: Communications between the DBcloudbin agent and our Cloud Object Store are ciphered using https protocol, so any interception will not allow to read clear data. In any case, the payload data is also ciphered from the source, so there is a double and independent encryption. By default, communications between the database server and the DBcloudbin agent are using http, not https. This is due to the fact that in most cases those communications are intra-host or at least intra-LAN (since the DB and the DBcloudbin agent are frequently installed in the same server) and this security risk does not overcome the additional setup complexity (it would require install SSL certificates in Oracle database to trust the communications); in any case, if you need this additional secure SSL channel, it is possible to configure it; just file a support request and we will send you the detailed instructions.
  • Encrypted data: We take very seriously your data privacy. When you move data from your database to our Cloud Object Store, your data is encrypted using a secure AES algorithm and a randomly generated password that is stored only at your database application schema. So the data we receive in our datacenter is completely obscured. Only your database is able to get the information in clear using the stored key. So, it is very important to continue with a convenient backup policy in your database; if you loose your database and have no backup, you loose practical access to the data stored in our Cloud Object Store (we can provide you the data by you cannot get it in clear). The good thing is that this backup is much easier and cheaper due to the much smaller database size. This behavior is configurable per schema or even per table (you can disable the data encryption if you prefer to have the data stored in clear at our Cloud Object Store).
  • CLI operations: All the CLI operations (archive, restore, clean…) that move actual data to the DBcloudbin Cloud Object Store, requires database schema credentials (the credentials of the database user the data belongs to). This way, we ensure only a user with those credentials can execute those operations. Those credentials are stored for convenience in a user profile specific file in the server where we run the CLI (this way you do not have to specify the credentials in every command); they are stored encrypted, but for additional security you can delete them through the CLI once executed the desired commands (e.g. in a schedule task script, you can set the credentials, execute the archive/restore command(s) and delete the credentials).
On-premises and other Cloud alternatives

On-premises and other Cloud alternatives

DBcloudbin is deployed as an online muti-tenant Cloud native service through our site. We have designed and built a modern cloud based architecture with horizontal scalability, inherent redundancy and modern engineering architectural principles in Cloud-native environments, all that layered onto a top class infrastructure service provided by Google Cloud Platform (GCP).

However, we understand that many Enterprise customers have specific requirements (legal, processes or technical) that makes difficult this approach. Leveraging our modern solution architecture, we are able to provide alternate deployment models that can fit your requirements.

Pluggable architecture

DBcloudbin is designed with a pluggable architecture enabling a deep and easy customization. Specifically, we have designed several connectors for 3rd party Object Store providers, so it is quite simple to switch to a different Object Store implementation (in fact, it is hot-swappable online!). It allows hybrid models where part of the data is sent to our online service and part of the data is kept in a 3rd party object store (potentially on-premises). Our roadmap includes also heterogeneous replication models where the data could be replicated through different type of Object Stores.

Our software is conveniently packed in a setup tool but we manage other convenient deployment alternatives for the relevant pieces of the software (as Docker container, virtual appliance VM) enabling simple and alternative deployment models where the back-end pieces are directly managed by our services&operation team while deployed exclusively for you.

In addition, we can decouple the control path and the data transmission path, effectively decoupling concepts as licensing, authentication & authorization from the actual data transmission to and from object stores. This enables alternative deployment models as the ones described below.

On-premises deployment

We are able to deploy our solution on-site in a on-premises, customer exclusive and dedicated environment, storing the data into one of the object store implementation of top manufacturers (Hitachi, IBM, Dell-EMC, …). You put the infrastructure, we put the service and the data transmission will not trespass your datacenter perimeter.

So, in the case you need for any reason an on-premises installation, please contact us!

Co-located cloud deployment

You may already have a Cloud provider where part or all your IT environment is running. In this case, it may be convenient for your needs, to deploy a dedicated instance of our service running in your Cloud environment, for performance, cost, legal, processes reasons or whatever.

We support as of today Amazon’s AWS service using S3 as object store as well as Google Cloud Platform. Other cloud providers (as Azure) are in roadmap and coming very soon. Please contact us for additional information on this deployment model!

Data Integrity

Data Integrity

One of the main advantages of storing binary data in a relational database is the transactional consistency that any enterprise database provides. So we ensure that modifications or deletions can be confirmed or rolled-back in a consistent transaction. Extracting the binary data from the database opens a series of risk scenarios that have to be carefully managed to avoid data integrity issues.

We have designed our DBcloudbin solution with this concepts in mind. In addition, we have to avoid any potential data-loss and data-unavailability, no matter what complex scenario we may have.

 The four checks for cleaning binary content at your database

Moving data from your database to the cloud is a operation that has to be executed with care, to avoid data unavailability (and  of course, data loss). We have designed a very cautious process that follows an strict 4 test steps before cleaning data from your database:

  1. You have explicitly requested. We only move the content that you explicitly request to be moved to DBcloudbin, using the CLI command “dbcloudbin archive -clean”. In the “-clean” option is not specified, the data is not cleaned at database tier.
  2. Data is successfully stored at DBcloudbin Cloud Object Store. We check that the data is successfully stored at the DBcloudbin Cloud Object Store, in a per-row basis. If something fails when the operation is requested, the transaction is aborted and rolled-back.
  3. Data can be retrieved from the database as your application would read it. This is an important step. We prioritize consistency from performance in the archive process. So, once correctly stored at DBcloudbin Cloud Object Store, we issue a read operation, using a SQL query basically the same way your application would do. If this fails for any reason, the operation is aborted and rolled-back.
  4. Data retrieved from DBcloudbin is exactly the same as the stored in DB. The last check is make sure what we stored is what we read. We issue a binary comparison of the content inside the DB and the content we have read from DBcloudbin. Only if we have successfully passed the previous checks and this last one, the content is cleaned from your database and will be available at DBcloudbin service.

 Transactional consistency

Our solution design is ensuring we don’t break DB transactional consistency in common application operations. We ensure transactional consistency at database level both in normal CRUD operations (insert, read, update, delete) and through archive/restore processes. SQL delete sentences issued by your application on tables with archived BLOBs will be logged. In the case of a transaction rollback, the content is unaltered and the application can keep reading it as ever. If the transaction is committed the object is inaccessible by the application (as it would do if DBcloudbin were not installed) but the content is not physically deleted until you explicitly issue a purge of deleted BLOBs. In that way, you gain an extra level of content backup and a easy way to restore your application content in the case of accidenta deletes, by restoring the accidentally deleted rows from your backup, enabling again the application to fetch this content from DBcloudbin Cloud Object Store.