live wire

▸IBM makes watsonx Orchestrate AgentOps, custom LLM judging and Bedrock-agent discovery generally availableIBM▸SchemaGate 0.1.45 fixes broken Oracle ADB wallet connections and an OCI stack pinned 28 releases behindSchemaGate▸PDI’s Amazon Quick procurement agent grounds spend answers in vendor, category and contract contextAWS Business Intelligence Blog▸BigQuery’s ML.METRICS example returns 0.84 accuracy but 0.30 macro-F1 on the same 100-row classification queryGoogle Cloud BigQuery docs▸SchemaGate 0.1.44 auto-selects sentence embeddings, lifting bundled-schema retrieval from 90/98 to 93/98SchemaGate▸SchemaGate 0.1.43 adds read-only SQL execution with per-principal table checks—and documents unauthenticated client assertionsSchemaGate▸Databox adds reusable AI Analyst Skills with personal/company scope, auto-matching and marketplace installsDatabox▸Fabric previews an AI builder for data-agent instructions, source guidance and example queriesMicrosoft Fabric▸Databricks trains data-agent retriever to stop early or spend bounded extra search steps, reporting 5.8-second latencyDatabricks▸ThoughtSpot adds SpotterCode coding agent to its Visual Embed PlaygroundThoughtSpot▸LongMemEval-S audit: 67–73% of restore-fixable 80k-budget errors came from evicted evidence under three policiesarXiv▸SchemaGate 0.1.42 adds dimension-aware retrieval and fixes complex multi-table SQL promptsSchemaGate▸Snowflake agent toolsets can silently drop inherited tools when callers lack accessSnowflake Documentation▸Looker’s VS Code extension reaches GA with MCP-assisted LookML generation, editing and validationGoogle Cloud Looker release docs▸IBM makes watsonx Orchestrate AgentOps, custom LLM judging and Bedrock-agent discovery generally availableIBM▸SchemaGate 0.1.45 fixes broken Oracle ADB wallet connections and an OCI stack pinned 28 releases behindSchemaGate▸PDI’s Amazon Quick procurement agent grounds spend answers in vendor, category and contract contextAWS Business Intelligence Blog▸BigQuery’s ML.METRICS example returns 0.84 accuracy but 0.30 macro-F1 on the same 100-row classification queryGoogle Cloud BigQuery docs▸SchemaGate 0.1.44 auto-selects sentence embeddings, lifting bundled-schema retrieval from 90/98 to 93/98SchemaGate▸SchemaGate 0.1.43 adds read-only SQL execution with per-principal table checks—and documents unauthenticated client assertionsSchemaGate▸Databox adds reusable AI Analyst Skills with personal/company scope, auto-matching and marketplace installsDatabox▸Fabric previews an AI builder for data-agent instructions, source guidance and example queriesMicrosoft Fabric▸Databricks trains data-agent retriever to stop early or spend bounded extra search steps, reporting 5.8-second latencyDatabricks▸ThoughtSpot adds SpotterCode coding agent to its Visual Embed PlaygroundThoughtSpot▸LongMemEval-S audit: 67–73% of restore-fixable 80k-budget errors came from evicted evidence under three policiesarXiv▸SchemaGate 0.1.42 adds dimension-aware retrieval and fixes complex multi-table SQL promptsSchemaGate▸Snowflake agent toolsets can silently drop inherited tools when callers lack accessSnowflake Documentation▸Looker’s VS Code extension reaches GA with MCP-assisted LookML generation, editing and validationGoogle Cloud Looker release docs

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.