Send us your Cloud, AI or Database bill — we'll tell you in 48 hours whether you're overpaying
Data grows quickly
Traditional architecture often does not
Traditional architecture often does not
As products scale, databases handle more transactions, more users, and stricter availability requirements. A simple setup can turn into sharding, replicas, separate analytics systems, and complex disaster recovery.
The result is not only higher cost. It is also more operational complexity and an architecture that gets harder to scale.
The result is not only higher cost. It is also more operational complexity and an architecture that gets harder to scale.
More database instances do not always mean better resource efficiency.
Transactions, analytics, search, and AI workloads often end up running across separate systems.
More replicas, regions, and recovery systems increase both infrastructure and operational overhead.
Adding capacity can require sharding, rebalancing, or changes to the application architecture.
High availability
Infrastructure designed for workloads where downtime and data loss are not acceptable.
OceanBase uses a distributed Paxos-based architecture with automated failover and multi-region disaster recovery, supporting RPO = 0 and RTO under 8 seconds in its specified deployment architecture.
OceanBase uses a distributed Paxos-based architecture with automated failover and multi-region disaster recovery, supporting RPO = 0 and RTO under 8 seconds in its specified deployment architecture.
What GixWeb offers
Scale database capacity as workloads grow.
OceanBase supports horizontal and vertical expansion without taking the application offline, allowing infrastructure to adapt to traffic and data growth rather than requiring a redesign every time capacity changes.
OceanBase supports horizontal and vertical expansion without taking the application offline, allowing infrastructure to adapt to traffic and data growth rather than requiring a redesign every time capacity changes.
Elastic scalability
Reduce the number of separate systems behind the product.
OceanBase combines transactional and analytical processing and also supports capabilities such as vector search, hybrid search, JSON and other data models within a unified data architecture.
OceanBase combines transactional and analytical processing and also supports capabilities such as vector search, hybrid search, JSON and other data models within a unified data architecture.
One database for multiple workloads
Improve resource utilization instead of continuously adding database capacity.
Multi-tenancy, resource pooling, and advanced compression help consolidate database instances, reduce storage requirements, and lower total infrastructure overhead.
Multi-tenancy, resource pooling, and advanced compression help consolidate database instances, reduce storage requirements, and lower total infrastructure overhead.
More efficient infrastructure
One data foundation. Multiple workloads
* Under normal circumstances
brands using OceanBase globally
proven peak transaction volume
4,000+
61M QPS
zero-data-loss architecture
RPO = 0
Built for workloads where every transaction counts
global deployment footprint
70+ regions
automated failover
RTO < 8s
Deploy where your business needs it
Cloud, hybrid, or on-premise
OceanBase is designed to run across different infrastructure environments rather than tying the database to a single deployment model.
It supports deployment across major cloud platforms, hybrid environments, and on-premise infrastructure, helping companies build around their operational, resilience, and data-residency requirements.
It supports deployment across major cloud platforms, hybrid environments, and on-premise infrastructure, helping companies build around their operational, resilience, and data-residency requirements.
How we work
We define technical requirements and the migration approach before you move forward, then coordinate implementation around your existing environment.
We determine where OceanBase fits your workloads and what the target deployment could look like across cloud, hybrid, or on-premise.
Share a high-level view of your database architecture, workloads, and current challenges. We identify what limits scalability, availability, or efficiency.