TextQL

What is TextQL?

TextQL is an enterprise data platform that maps your data, builds semantic understanding through an AI ontology called Ana, and automates work across complex data systems. It targets companies with legacy databases from SAP, Oracle and Teradata that carry decades of schema complexity. Named customers include Blackstone, Dropbox, Amazon, Scale AI and the NBA.

Key capabilities of TextQL

• Ana ontology: reasons over complex data structures and improves with use
• Conversational analytics: natural language questions with transparent underlying SQL
• Data Apps: shareable applications built from governed ontologies
• Agents: autonomous systems that watch, decide and write results back to source systems
• Legacy system support: handles SAP, Oracle Fusion and Teradata schemas
• Regulated data controls: addresses HIPAA, PHI boundaries and 42 CFR Part 2

How TextQL works

TextQL connects to your data warehouse, documents what the data means in the Ana ontology, answers questions with visible SQL, and then automates downstream work through agents. The vendor positions this as one system bought once instead of several integrated tools.

Who uses TextQL?

Data and analytics teams at enterprises, including healthcare, finance and technology companies, use TextQL, especially where SAP columns number in the hundreds.

TextQL pricing

TextQL does not publish pricing on its homepage. Contact the vendor for a quote.

TextQL alternatives

TextQL is compared with ThoughtSpot, Vanna AI and Julius AI. ThoughtSpot is a search-driven analytics platform, Vanna AI is open source text to SQL, and Julius AI serves individual analysis.