Resource pooling
Scattered instances are pooled and allocated on demand to improve utilization.
Built by BSG
DBScale
DBScale is the cloud-native database container platform developed by BSG. It packages open source data components in containers and handles pooling, scheduling, high availability and observability from a single control plane.
database containers managed in financial production environments
What it is
Open source data technologies keep spreading across the enterprise. MySQL, Redis, MongoDB, Couchbase and TiDB are often deployed separately, with thousands of instances. At scale, inconsistent deployment, low resource utilization and fragmented operations become the main cost of management.
DBScale packages these databases in containers and manages them through a scheduling control plane: provisioning, scaling, high availability, monitoring and reclamation happen on one platform, turning scattered components into a data foundation that can be pooled, scheduled and operated.
The platform runs on enterprise Kubernetes / OpenShift and can connect to secrets management and streaming components such as Vault and Confluent.
DBScale & AI data factory
Stateful data services as an operable hub that feeds AI and business above it.
- Entry Applications, search and agents fetch data through one interface.
- Hub Databases, caches, messaging and search become operable stateful services.
- Base Runs on enterprise K8s and connects to Vault and stream processing.
Capabilities
Unified scheduling
Provisioning, scaling, reclamation and orchestration follow standard operating procedures.
High availability with CMHA
CMHA brings data consistency and automatic failover into the platform.
Centralized operations
Unified monitoring, alerting and logging for large fleets of instances.
Multiple engines
Covers MySQL, Redis, MongoDB, Couchbase, TiDB and other data engines.
Elastic scaling
Scales with business load so resources go where they are needed.
Scenarios and capabilities
Fitting scenarios
- Databases, caches, messaging and search on K8s are hard to manage together
- AI projects need vector search, data processing and real-time data
- Tooling is fragmented and lifecycle and operations should be unified
Key capabilities
- Unified orchestration of cloud native stateful services
- Redis, Kafka, Elasticsearch, MySQL and other components
- AI vector store and data processing
- Integration with OpenShift, Confluent and Vault
How BSG delivers
DBScale has been developed continuously since 2013 and runs at scale in financial production. BSG handles solution design, platform rollout, integration with existing data and security components, and post-launch operations.
Layer Data factory hub Unified management of multi-model data services above the platform.
Supported data engines
- MySQL (CMHA)
- Redis
- MongoDB
- Couchbase
- TiDB
Product timeline
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2013
DBScale development started
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2014
Prototype completed
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2015
Entered a large financial production environment
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2016–2018
DBScale and CMHA went live in more bank production environments
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Now
Ongoing development for financial production, with more than 60,000 managed database containers