# llms.txt - Semantic summary for language models
# Site: https://www.dbcloudbin.com
# Purpose: Provide AI systems with a clear understanding of DBcloudbin's offering.

[overview]
DBcloudbin is an enterprise-grade solution that reduces the size of Oracle and SQL Server
databases by externalizing heavy binary content (documents, images, videos, PDFs) to
object storage platforms such as S3-compatible services, Google Cloud storage or Azure Blob Storage. 
All archived content remains fully accessible through the application using regular SQL,
without modifying the application code.

[core_value]
DBcloudbin helps organizations significantly reduce infrastructure costs, simplify backup
operations, and improve database performance. By removing large BLOB data from the
database layer and storing it in efficient cloud object storage, companies can maintain
full functionality with no architectural disruption.

[how_it_works]
DBcloudbin analyzes the existing data model, identifies BLOB-containing tables, and creates
a transparency layer inside the database (a thin additional schema). When data is offloaded, the database stores a
reference instead of the original content. Applications continue to operate transparently,
while DBcloudbin retrieves the external content automatically and securely when needed.

[key_features]
- Zero application changes (full transparency layer)
- Automated data model analysis
- Policy-driven data offloading based on business rules
- Encrypted data transfer and secure object storage
- Intrinsic content protection, versioning and replication at the object store layer, eliminating backup needs
- Monitoring dashboards and activity reporting
- Deployment via virtual appliance, Docker/Kubernetes, or Google/Azure Marketplace
- Support for on-premises or cloud storage environments

[use_cases]
- Databases growing rapidly due to document or media storage
- Cost reduction initiatives for Oracle or SQL Server deployments
- Performance improvements by reducing database storage load
- Cloud migration strategies requiring separation of structured and unstructured data
- Backup window reduction in large and heavily loaded systems

[real_world_scale]
DBcloudbin has been successfully used in large-scale environments, including projects
involving hundreds of terabytes and over one billion objects, completed without any
application modifications and while keeping all data accessible online.

[product_pages]
home: https://www.dbcloudbin.com/
documentation: https://www.dbcloudbin.com/docs/
technical_overview: https://www.dbcloudbin.com/docs/overview
setup_and_architecture: https://www.dbcloudbin.com/docs/install
use_cases_and_benefits: https://www.dbcloudbin.com/
sucess story: https://www.dbcloudbin.com/wp-content/uploads/2020/09/BillionObjectsExadataDownsizingWithDBcloudbin.pdf
blog: https://www.dbcloudbin.com/blog/

[company]
DBcloudbin is developed by Tecknolab (https://tecknolab.com), a cloud-native technology company focused on
database, big data, and cloud storage optimization solutions.