Sold by: OceanBaseÂ
Deployed on AWS
OceanBase: A Highly Scalable Distributed Database for Transactional, Analytical, and AI Workloads.
Overview
Simplify Your Tech Stack with an Integrated Cloud Database Architecture
HTAP for Real-Time Analytics: Integrated online transactional processing (OLTP) and online analytical processing (OLAP) in a single database, offering row-based, columnar, and hybrid row-column storage options, eliminating the ETL processes (extract, transform, and load) as well as redundant data storage.Robust resource isolation to protect mission-critical workloads while minimizing additional storage costs.
Multi-model for Streamlined Tech Stack: Native support for multiple data access with a single engine, including SQL and NoSQL APIs, meeting diverse data model needs while streamlining your data architecture.OceanBase Cloud supports various data types including KV, JSON, GIS, XML, full-text indexing, and SQL queries, with a Table API and an HBase-compatible interface.
SQL + AI for AI Applications: Vector data type, vector indexes, and vector search are supported with flexible access via SQL and SDK.Integrated architecture enables hybrid search across multiple data models (vector, relational, GIS, etc.), streamlining the AI stack and enhancing applications like RAG, personalized recommendations, multi-modal search, and AI agents.
More Agile, More Reliable, and More Cost-Effective
Elastic Scalability: On-demand scaling in high-concurrency scenarios without downtime or application changes. Linear performance growth via horizontal, vertical, and tenant-level scaling. With a TPC-C Benchmark score of 707 million tpmC, OceanBase delivers unparalleled speed and stability for mission-critical workloads.
Always-on Availability: OceanBase Cloud delivers a recovery point objective (RPO) of 0 and a recovery time objective (RTO) of under 8 seconds. Automatic disaster recovery from server to regional failures ensures minimal downtime and continuous access to mission-critical workloads, preventing service disruptions and data loss.
Cost-Effectiveness: Industry-leading compression technology cuts storage space by 70% - 90%, reducing storage costs by over 30%. With multi-tenant technology, multiple database instances can be seamlessly integrated to maximize resource utilization while streamlining your infrastructure.
Highlights
- Strong-performance HTAP: OceanBase is only distributed database that has refreshed both TPC-C record, at 707 million tmpC, and TPC-H record, at 15.26 million QphH @30000GB. It has been supporting the Double 11 with 61 million QPS at peak time and over 10,000 nodes.
- Multi-tenant: OceanBase Database is a native distributed database with a multi-tenant architecture that allows for data and permission isolation between tenants. The tenant can select a compatibility mode and configure the replica quantity, storage location, and computing resources.
- Data consistency: According to the Paxos consensus protocol, OceanBase Database supports chain validation between clusters and replicas to prevent data tampering. It automatically checks silent data corruptions every day to ensure strong global transaction consistency.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Each unit is 0.1 cent of usage | $0.001 |
Vendor refund policy
All fees are non-cancellable and non-refundable, except as required by law.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
OceanBase provides technical support to assist users with performance optimization, troubleshooting, and issue resolution. For support requests or to view details about our support policy, please visit:https://en.oceanbase.com/ticket/create For additional information, feel free to reach out via our Contact Us page:https://en.oceanbase.com/contactus?recordName=footer&fromPage=/contactusÂ
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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AI generated from product descriptions
Hybrid Transactional and Analytical Processing (HTAP)
Integrated online transactional processing (OLTP) and online analytical processing (OLAP) in a single database with row-based, columnar, and hybrid row-column storage options
Multi-Model Data Support
Native support for multiple data access methods including SQL and NoSQL APIs, with support for KV, JSON, GIS, XML, full-text indexing, and vector data types
Distributed Database Architecture
Horizontal, vertical, and tenant-level scaling with linear performance growth, supporting high-concurrency scenarios without downtime
Data Consistency and Security
Implements Paxos consensus protocol with chain validation between clusters and replicas, performing daily automatic checks to prevent data tampering
Vector Search and AI Integration
Supports vector data types, vector indexes, and vector search with flexible access via SQL and SDK, enabling hybrid search across multiple data models
Database Architecture
Purpose-built storage engine supporting transactional, analytical, and mixed workloads for relational and JSON data models
Deployment Flexibility
Supports replicated, clustered, standalone, and distributed database configurations with SQL and Oracle Database compatibility
High Availability Mechanisms
Includes zero-interruption failover, online disaster recovery, and synchronous replication options for enterprise-grade reliability
Backup and Recovery
Provides non-blocking backups, point-in-time restore, online point-in-time rollback, and delayed replica strategies for comprehensive data protection
Scalability Model
Supports vertical scaling with increased cores, memory, and storage, and horizontal scaling by adding database instances and read replicas
Distributed Database Architecture
Supports distributed, MySQL-compatible database with horizontal scalability across multiple nodes
Hybrid Transactional and Analytical Processing (HTAP)
Enables simultaneous transactional and analytical data processing within a single database platform
Multi-Cloud Deployment
Supports database cluster deployment across multiple cloud platforms including Amazon Web Services and Google Cloud Platform
Real-Time Data Processing
Provides real-time data analytics capabilities with high concurrency and single source of truth
Advanced Security Features
Includes identity and access management, VPC peering, and built-in encryption mechanisms for data protection
Standard contract
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Customer reviews
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1 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Li B.
A distributed database with extremely low storage costs and excellent scalability
Reviewed on Jun 28, 2024
Review provided by G2
What do you like best about the product?
Storage costs are extremely low
Excellent scalability
High availability guarantee
Excellent scalability
High availability guarantee
What do you dislike about the product?
The community version only has a MySQL mode tenant, and if you want to use an Oracle mode tenant, you need to use the enterprise version.
What problems is the product solving and how is that benefiting you?
Addressing numerous limitations introduced by sharding solutions using middleware with MySQL, this approach reduces storage costs and enhances database stability.