#TextToSQL
Sql Generator: Text to SQL Made Easy
#sqlgenerator #texttosql #aisqlgenerator
Sql Generator: Text to SQL Made Easy
Sql generator creates perfect SQL queries from plain English. Use our ai sql generator for natural language to sql conversions, supporting MySQL, PostgreSQL and more. Try our free sql query generator now!
www.omniatools.org
August 14, 2026 at 11:40 AM
Google Research's Gemini-SQL2 hits 80.04% on the BIRD benchmark, ahead of OpenAI (72.8%) and Anthropic (70.9%), per The Decoder. Natural-language-to-SQL is getting close to production-grade. Do you already query your databases in plain English? #TextToSQL
Google Research's Gemini-SQL2 tops text-to-SQL benchmarks by a wide margin
Google Research's Gemini-SQL2 turns natural language into executable SQL queries. Built on Gemini 3.1 Pro, it tops the BIRD benchmark at 80.04 percent accuracy, well ahead of OpenAI and Anthropic. Google says the technology could improve natural language features across its data services.
the-decoder.com
June 16, 2026 at 7:43 AM
"A trillion dollars is arrayed against us." Stonebraker at 82, betting SQL should orchestrate data queries, not LLMs.

youtube.com/shorts/3PPwQ...

#AgenticAI #TextToSQL #SQL
A Trillion Dollars Is Arrayed Against Us -- Mike Stonebraker
"A trillion dollars is arrayed against us." At 82, Mike Stonebraker is betting that SQL, not LLMs, should orchestrate enterprise data queries. His research team built Rubicon to prove it. Full…
youtube.com
June 12, 2026 at 8:23 PM
"We tried out the LLMs that everyone else was touting. Accuracy was about 10%, not 80%." Stonebraker on real enterprise text-to-SQL. youtube.com/shorts/iMKre...

#TextToSQL #LLM #DataWarehouse
Text-to-SQL Gets 10% on Real Data Warehouses -- Mike Stonebraker
LLMs score 80% on text-to-SQL benchmarks. On MIT's real 1,400-table data warehouse, they score 10%. Turing Award winner Mike Stonebraker breaks down why academic benchmarks hide the real difficulty…
youtube.com
June 5, 2026 at 8:06 PM
Mike Stonebraker created Postgres, won the Turing Award, and just tested text-to-SQL on real warehouses. The result: 10%, not the 80% benchmarks claim. New episode.

www.heavybit.com/library/podc...

#TextToSQL #Postgres #DataRenegades
Data Renegades | Ep. #11, Contrarian Bets and AI Skepticism with Michael Stonebraker | Heavybit
On episode 11 of Data Renegades, CL Kao sits down with Michael Stonebraker, legendary database pioneer and creator of Ingres and Postgres.
www.heavybit.com
June 2, 2026 at 4:55 PM
Innovaccers Population Health Copilot 2.0 uses Amazon Bedrock to convert natural language to text-to-SQL, cutting insight extraction to <60s and improving query accuracy by 50%. #AI #Healthcare #Bedrock #TextToSQL
Innovaccer Case Study
Learn how Innovaccer uses generative AI to power healthcare insights, achieving 20% faster text-to-SQL conversions and extracting insights in under a minute.
aws.amazon.com
June 1, 2026 at 12:30 PM
Text-to-SQL hit 96% accuracy. If your job is writing SELECTs from Slack requests, you've been automated. #TextToSQL
May 25, 2026 at 12:00 PM
Merck uses Amazon Bedrock to translate natural language into SQL for complex healthcare databases. A schema-aware Claude 3.5 pipeline uses tool-calling for coded fields, then outputs SQL plus explanations. #AmazonBedrock #TextToSQL #HealthcareAnalytics
How MSD uses Amazon Bedrock to translate natural language into SQL for complex healthcare databases | Amazon Web Services
MSD, a leading pharmaceutical company, collaborates with AWS to implement a powerful text-to-SQL generative AI solution using Amazon Bedrock and Anthropic's Claude 3.5 Sonnet model. This approach streamlines data extraction from complex healthcare databases like DE-SynPUF, enabling analysts to generate SQL queries from natural language questions. The solution addresses challenges such as coded columns, non-intuitive names, and ambiguous queries, significantly reducing query time and democratizing data access.
aws.amazon.com
May 17, 2026 at 12:06 PM
VideoAmp built a natural-language analytics chatbot with Amazon Bedrock text-to-SQL, RAG, guardrails, and automated SQL/data evaluation to speed media insights. Prototype aims for a near-term beta. #AmazonBedrock #TextToSQL #RAG
How VideoAmp uses Amazon Bedrock to power their media analytics interface | Amazon Web Services
In this post, we illustrate how VideoAmp, a media measurement company, worked with the AWS Generative AI Innovation Center (GenAIIC) team to develop a prototype of the VideoAmp Natural Language (NL) Analytics Chatbot to uncover meaningful insights at scale within media analytics data using Amazon Bedrock.
aws.amazon.com
May 16, 2026 at 6:40 AM
Michael Stonebraker was right about CODASYL. Right about NoSQL. Now he's run text-to-SQL on a real enterprise warehouse and got 10% accuracy against an 80% benchmark.

The pattern is hard to ignore.

blog.reccehq.com/benchmarks-l...

#DataEngineering #TextToSQL #AI
Benchmarks Lie: What a Turing Award Winner Found When He Tested Text-to-SQL on Real Data
Text-to-SQL benchmarks show 80% accuracy. A Turing Award winner tested the same models on a real 1,400-table warehouse and got 10%. Here is why.
blog.reccehq.com
April 28, 2026 at 5:46 PM
WrenAI turns natural language into SQL queries, charts, and business insights in seconds - no more hunting down that one person who knows how to write JOINs

🔗 https://github.com/Canner/WrenAI

#GenBI #TextToSQL #BusinessIntelligence
February 12, 2026 at 3:02 PM
The full code sample is available here: github.com/kweinmeister...

Get started in 3 easy steps:
1. Download the Sakila SQLite database
2. Configure your .env file
3. Run your query! `echo "How many films are in the action category?" | adk run src/texttosql`
GitHub - kweinmeister/text-to-sql-agent: Natural language to text agent built with Google's Python ADK
Natural language to text agent built with Google's Python ADK - kweinmeister/text-to-sql-agent
github.com
November 11, 2025 at 2:54 PM
Graph-Reward‑SQL replaces execution‑based rewards with a graph‑matching model, cutting latency and GPU memory while boosting accuracy on Spider and BIRD benchmarks. https://getnews.me/graph-reward-sql-improves-text-to-sql-rl-without-execution-overhead/ #graphrewardsql #texttosql
October 6, 2025 at 2:00 PM
Researchers evaluated a framework on eleven real‑world schemas from finance, healthcare and e‑commerce, using five LLMs, and reported exact‑match SQL accuracy via simple sub‑string knowledge retrieval. https://getnews.me/framework-improves-llm-text-to-sql-parsing-using-knowledge/ #texttosql #llm
October 6, 2025 at 5:06 AM
LLMSQL refreshes WikiSQL with clean natural‑language questions and plain‑text SQL queries, fixing case and syntax errors. Gemma 3 and OpenAI o4‑mini achieved the highest exact‑match scores. https://getnews.me/llmsql-a-refreshed-benchmark-for-text-to-sql-in-the-llm-era/ #llmsql #texttosql #llm
October 6, 2025 at 4:31 AM
The new Agentar‑Scale‑SQL framework boosts text‑to‑SQL accuracy to 81.67% execution accuracy on the BIRD benchmark, taking the top spot on the official leaderboard. Read more: https://getnews.me/agentar-scale-sql-enhances-text-to-sql-via-orchestrated-scaling/ #texttosql #bird #agentsql
October 3, 2025 at 11:30 AM
The new MultiSpider 2.0 benchmark adds eight languages—including Japanese and Vietnamese—to the Spider 2.0 suite, and top LLMs saw execution accuracy fall to just 4%. https://getnews.me/multilingual-text-to-sql-benchmark-shows-ai-gap-with-multispider-2-0/ #multispider2 #texttosql #multilingual
September 30, 2025 at 8:56 PM
Agentar-Scale-SQL achieved an 81.67 % execution accuracy on the BIRD benchmark, claiming first place, with the study submitted in September 2025 using three coordinated scaling techniques. https://getnews.me/agentar-scale-sql-improves-text-to-sql-with-orchestrated-scaling/ #texttosql #birdbenchmark
September 30, 2025 at 8:54 PM
ScenarioBench, a new Text‑to‑SQL and RAG compliance benchmark, was accepted for presentation at the LLMs Meet Databases workshop of the 35th IEEE International Conference. 29 Sep 2025. https://getnews.me/scenariobench-traceable-benchmark-for-text-to-sql-and-rag/ #scenariobench #texttosql #rag
September 30, 2025 at 6:49 PM
BiomedSQL, a benchmark with 68,000 question‑SQL pairs for biomedical data, shows GPT‑o3‑mini at 59.0% execution accuracy, well below the 90% expert baseline. Read more: https://getnews.me/biomedsql-benchmark-challenges-ai-text-to-sql-for-biomedical-research/ #biomedsql #texttosql
September 29, 2025 at 10:00 PM
SteinerSQL's graph‑guided framework boosted text‑to‑SQL execution accuracy to 36.10% on LogicCat and 40.04% on Spider2.0‑Lite, outperforming prior methods. Read more: https://getnews.me/steinersql-boosts-text-to-sql-accuracy-with-graph-guided-reasoning/ #texttosql #graphoptimization
September 26, 2025 at 3:23 PM
JOLT‑SQL unifies schema linking and SQL generation, achieving state‑of‑the‑art accuracy on Spider and BIRD Text‑to‑SQL benchmarks. Code is open on GitHub. Read more: https://getnews.me/jolt-sql-boosts-text-to-sql-with-confusion-aware-schema-sampling/ #joltsql #texttosql #nlp
September 25, 2025 at 8:44 PM
GBV‑SQL adds a back‑translation validation step, raising execution accuracy on the BIRD benchmark to 63.23% (a 5.8‑point gain) and reaching 96.5%/97.6% on Spider after removing Gold Errors. Read more: https://getnews.me/gbv-sql-boosts-text-to-sql-accuracy-via-guided-generation/ #texttosql #gbvsql
September 18, 2025 at 8:56 AM