BenchRank
#59 in DatabasesUpdated 2026-08

OceanBase

by OceanBase · Distributed SQL database for transactions, analytics and AI search

BenchRank score

17.1 — BenchRank score out of 100

Screenshots of OceanBase

Homepage · OceanBase

Homepage of OceanBase

Overview

OceanBase is a distributed SQL database that runs transactional, analytical and AI search workloads on one engine, including hybrid search across vector, full-text and structured data. It balances and routes data across nodes automatically, so capacity grows by adding nodes rather than sharding, and storage can be set to row, column or hybrid per table.

Best for
Teams running high-volume transactional workloads that also need real-time analytics on the same data
Pricing
No prices are shown on the captured page; the Community Edition is described as free and open-source, while Enterprise and Cloud pricing is not published.

Strengths and trade-offs

Strengths

  • Adds nodes for scale-out without manual sharding
  • States RPO=0 and automated failover in under 8 seconds
  • Row, column or hybrid storage chosen per table
  • Free open-source edition alongside self-hosted and managed options

Trade-offs

  • No prices published for Enterprise or Cloud; you must contact the vendor
  • Performance figures come from vendor benchmarks and Alipay-scale workloads
  • Self-hosting a distributed database carries operational overhead

How OceanBase markets itself

A structured read of the promise, proof and page design on OceanBase’s captured homepage.

Homepage capture

“Always Ready for”

  • Angle: All-in-one / consolidation
  • Hero: Abstract graphic

Pricing

Published plans and prices from OceanBase’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

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Where this comes from

The OceanBase pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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