OceanBase team's Data Agent solution tops the international Data Agent Benchmark
According to QbitAI, OceanBase team's Data Agent solution topped the international Data Agent Benchmark (DAB) with an accuracy of 90.62%, becoming the first entry to surpass 90% and outperforming several overseas-model-based Data Agent solutions. The entry, code-named Scout, integrates capabilities into OceanBase DataPilot as part of OceanBase's move from database to AI data platform. The DAB assessment covers multiple domains and includes data from various databases.
Key facts
- 01OceanBase submitted Data Agent solution code-named Scout and integrated the capabilities into OceanBase DataPilot.
- 02DAB was launched jointly by UC Berkeley EPIC Data Lab and Hasura PromptQL, covering internet/local life, financial stocks, biomedical, intellectual property, enterprise operations, government/public administration, media/entertainment, and involving PostgreSQL, MongoDB, SQLite, DuckDB and other databases.
- 03OceanBase built the solution using domestic large model GLM-5.2 and outperformed multiple Data Agent solutions using overseas models such as GPT, Claude Opus, and Claude Fable.
- 04DAB's core evaluation focuses on completing a closed loop of data understanding, data selection, analysis path planning, computation and result verification, emphasizing the collaboration of model, agent and data system.
- 05An accuracy of 90.62% is seen as the solution surpassing overseas models and demonstrating the combined capability of a domestic model with a domestic database.
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