live wire

▸MotherDuck adds image classification and object location to prompt_jev(), returning typed SQL outputs with confidence scoresMotherDuck▸BigQuery conversational analytics adds Montréal and Toronto; mixed-region agents still default to globalGoogle Cloud Documentation▸Fabric enables Azure OpenAI Copilot access by default, but OpenAI-subprocessor and cross-region processing/storage switches remain offMicrosoft Learn▸Snowflake Cortex Agents now continue by default when named tools are inaccessible, emitting warnings instead of failing the runSnowflake documentation▸Databricks Genie One can use group memberships to tailor answers, while Unity Catalog remains the access-control boundaryDatabricks documentation▸Fabric data agents can query Power BI models with Read alone; Build and workspace access are unnecessaryMicrosoft Learn▸Fabric data-agent Git configs expose column flags, but selecting a table still includes every columnMicrosoft Learn▸Google Data Agent Kit offers remote Spark kernels, but notebook exports can still move results into local Pandas or ArrowGoogle Cloud Documentation▸Cube says production analytics agents need explicit partial-result states, caller-filtered model search and durable artifactsCube▸Thinking Machines names Bridgewater behind ReViSQL-K2.6, citing 92.97% SC-16 accuracy at 15% of frontier-model costThinking Machines Lab▸AWS says a mismatched data/tool/prompt release cut its Field Sales agent pass rate from 78% to 38% in pre-productionAWS Artificial Intelligence Blog▸NL2SQL Multi-Agent ships evaluation artifacts across BIRD, CSpider, Archer and KDD DataSpace—but no software licenseGitHub▸Snowflake says Cortex Analyst apps keep working, but recommends Cortex Agents; semantic views and verified queries carry overSnowflake Documentation▸IBM watsonx.governance adds agent runtime-control sync plus Langfuse and Arize metric ingestionIBM watsonx documentation▸MotherDuck adds image classification and object location to prompt_jev(), returning typed SQL outputs with confidence scoresMotherDuck▸BigQuery conversational analytics adds Montréal and Toronto; mixed-region agents still default to globalGoogle Cloud Documentation▸Fabric enables Azure OpenAI Copilot access by default, but OpenAI-subprocessor and cross-region processing/storage switches remain offMicrosoft Learn▸Snowflake Cortex Agents now continue by default when named tools are inaccessible, emitting warnings instead of failing the runSnowflake documentation▸Databricks Genie One can use group memberships to tailor answers, while Unity Catalog remains the access-control boundaryDatabricks documentation▸Fabric data agents can query Power BI models with Read alone; Build and workspace access are unnecessaryMicrosoft Learn▸Fabric data-agent Git configs expose column flags, but selecting a table still includes every columnMicrosoft Learn▸Google Data Agent Kit offers remote Spark kernels, but notebook exports can still move results into local Pandas or ArrowGoogle Cloud Documentation▸Cube says production analytics agents need explicit partial-result states, caller-filtered model search and durable artifactsCube▸Thinking Machines names Bridgewater behind ReViSQL-K2.6, citing 92.97% SC-16 accuracy at 15% of frontier-model costThinking Machines Lab▸AWS says a mismatched data/tool/prompt release cut its Field Sales agent pass rate from 78% to 38% in pre-productionAWS Artificial Intelligence Blog▸NL2SQL Multi-Agent ships evaluation artifacts across BIRD, CSpider, Archer and KDD DataSpace—but no software licenseGitHub▸Snowflake says Cortex Analyst apps keep working, but recommends Cortex Agents; semantic views and verified queries carry overSnowflake Documentation▸IBM watsonx.governance adds agent runtime-control sync plus Langfuse and Arize metric ingestionIBM watsonx documentation

nl2sql.aithe text-to-sql wire

edition 2026-08 · published Aug 10, 2026

The nl2sql.ai Leaderboard — Launch Edition (August 2026)

#	system	category	score	Δ	verdict
1	Cortex AnalystSnowflake	cloud-native	88.0	—	The semantic-model bet paid off: best-in-class governed accuracy for enterprise Q&A inside one warehouse.
2	AI/BI GenieDatabricks	cloud-native	86.0	—	Curated Genie spaces plus feedback loops make it the strongest conversational-BI experience on a lakehouse.
3	SQLCoder / DefogDefog.ai	open-source	81.0	—	Open-weight SQLCoder models remain the best capability-per-parameter story in the space.
4	VannaVanna AI	open-source	79.5	—	The default OSS starting point: RAG over your own DDL and query pairs, any LLM, any store.
5	Gemini in BigQueryGoogle Cloud	cloud-native	78.0	—	Deeply integrated assistance across BigQuery Studio; strongest inside GCP, less portable outside it.
6	WrenAICanner	open-source	76.5	—	The OSS semantic-layer play: MDL grounding plus a polished GenBI UI, moving fast.
7	DB-GPTeosphoros-ai	open-source	74.0	—	Broadest OSS surface — agents, fine-tuning hub, workflows — at the cost of focus.
8	Copilot in Microsoft FabricMicrosoft	cloud-native	72.5	—	Ubiquitous inside the Microsoft stack; quality varies by workload, improving steadily.

methodology

Scores are 0–100, weighted across four pillars:

Capability (40%) — quality of generated SQL on hard, messy schemas; benchmark evidence where public (BIRD, Spider 2.0); semantic grounding and self-correction.
Trust & governance (25%) — how the system prevents wrong-but-plausible answers: semantic layers, verified queries, permissions awareness, auditability.
Adoption signals (20%) — production usage, community momentum (stars, releases, case studies), ecosystem integrations.
Openness (15%) — open weights/source, self-hosting, extensibility, transparent docs.

The launch edition was scored by the founding editorial pass and is the baseline. From here, the desk re-scores monthly: every score change must cite evidence (release notes, benchmark submissions, engineering posts), and every edition links its diff. Vendors never pay for placement; this publication has no commercial relationship with anything it ranks.