TextQL

textql.com
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AI-powered data analysis and automation platform for enterprises

Description

The Sovereign Ontology Behind the Intelligent Enterprise. · An unfair advantage, encoded: TextQL turns your business logic into a sovereign ontology you own. · Pressure tested where regulation is toughest. · Everything between your warehouse and the finished work. · Accelerating time to impact in the world's most critical domains. · Challenge Ana with your most complex data workloads.

TextQL is an AI platform that connects to a company's existing data stack, including business intelligence tools, semantic layers, and documentation. It aims to automate data analysis tasks typically performed by human analysts, allowing business teams to get insights from their data quickly using natural language queries. The platform integrates with various components of the modern data stack to replicate interactions with a senior data scientist.

Features

Integration Agent
Analytics Agent
Reconciliation Agent
Comprehensive Data Ontology
Semantic Authoring
Intelligent Agent Architecture
SQL Editor
Polyglot Notebooks
Agent Scheduling
Native Databricks Integration

Use cases

SELF-SERVICE ANALYTICS, DATA DISCOVERY, BUSINESS INTELLIGENCE AUTOMATION, DATA SCIENCE WORKFLOW OPTIMIZATION, ENTERPRISE DATA MANAGEMENT

FAQ

TextQL is an AI-powered enterprise data analysis platform that translates natural language queries into optimized SQL across all your databases, enabling business users to access insights without SQL skills.

TextQL uses intelligent AI agents (named Ana) that understand complex data relationships, map semantic connections across tables, and generate efficient queries to surface actionable business insights continuously.

Users can ask questions in plain English through interfaces integrated with Slack, Microsoft Teams, or a web app. In Slack, you open support tickets or interact with bots such as Pylon to get assistance or submit queries.

It connects to on-premises and cloud databases, modern data stacks including Snowflake, Salesforce, BigQuery, and can integrate with over 100x more data sources than many competitors, bridging complex data environments seamlessly.

TextQL offers enterprise-grade security including SOC 2 Type II certification, encrypted data connections, user authentication, and options to deploy in private clouds for complete data sovereignty and compliance.

TextQL provides customer support via Slack with a bot-guided ticket system, email support, official documentation, community forums, and priority enterprise support during business hours (Mon-Fri, 10 AM to 5 PM ET).

Clear issue descriptions, providing screenshots or error logs, timely responses to support team queries, and indicating urgency for after-hours tickets help ensure efficient issue resolution.

TextQL is designed for both technical data professionals and non-technical users to facilitate self-service data exploration and accelerate decision-making without needing SQL expertise.

It automates SQL/Python code generation, data visualization, and creates digital twins of businesses to streamline and enhance data workflows, including metric diagnosis, anomaly detection, and automated business insight generation.

Specs

Type Agent
SectionData & analytics
Pricing paid (от $250/mo)
Platform Web only
Systems web
Who forBusiness
Site languageen
Rating4.40 (0 reviews)
Views256
Launched2024-09-12

Can do

agents

Integrations

aws Snowflake Epic Databricks Tableau Cerner

Platforms

web

Tags

data analysis natural language query business intelligence data integration data insights

Hashtags

agent #agents #dataanalysis

Social

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Found in sources

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