TextQL logo

TextQL

Unknown
-(0 レビュー)
0 保存済み

Enterprise AI data analytics platform that deploys data analyst agents to query and analyze messy data workloads in plain English.

ウェブサイト:https://textql.com/
追加日:2026年7月13日
月間訪問者数:
19.7K
ソーシャルと電子メール:
AI data analyticsdata analyst agentsnatural language queryingno SQLenterprise AISlack integration
ウェブサイトにアクセス
TextQL
公式ウェブサイトにアクセス

ツール情報

TextQLとは何ですか?

TextQL is an enterprise AI data analytics platform that deploys scalable AI data analyst agents. These agents connect to existing warehouses, databases, and apps to deliver actionable insights from complex, messy data without requiring SQL or data migration.

コア機能

  • Natural Language Querying

    Ask business questions in plain English and receive immediate analysis that can be acted on without writing SQL.

  • Slack Integration

    Query data and receive AI-powered insights directly inside Slack conversations.

  • Shared Ontology

    Establish a single accurate source of truth so the entire organization uses consistent definitions and language for data.

  • Data Connectors

    Connect to existing warehouses, lakes, databases, and apps with no data migration or pipeline rebuilds required.

  • Automated Playbooks

    Schedule recurring analyses and automatically deliver critical insights via email or other channels.

  • Flexible Secure Deployment

    Deploy in public cloud, VPC, or on-premises environments, including air-gapped setups that keep data and infrastructure under full customer control.

  • Live Persistent Dashboards

    Generate auto-updating dashboards from data sources in minutes.

  • Large-Scale Table Handling

    Work across hundreds of thousands of tables with minimal configuration.

使用例

  • #1

    Customer Metrics Analysis

    Answer questions such as customer churn rates by segment and identify drivers directly from data.

  • #2

    Provider Fraud Analysis

    Analyze risk and revenue data for Medicare provider fraud detection.

  • #3

    Population Health Analytics

    Merge clinical and business data sources to analyze population health trends and extract real-time insights.

  • #4

    Automated Business Reporting

    Schedule and deliver recurring reports such as weekly revenue summaries.

以下に最適:Data teamsBusiness teamsClinical and engineering teamsEnterprise organizations with messy multi-source data

料金プラン

Homepage states 'Bring everyone in, for free' for rolling out self-serve access to business teams; no full pricing tiers or costs are detailed.

代替案

NotebookLM

NotebookLM

Google NotebookLM is an AI research tool that analyzes your personal documents to deliver accurate, cited insights and creative ideas—making complex information easier to understand and use.

🇺🇸9.60%
31M
データ分析AI Research Tool+2
Glean

Glean

Enterprise AI platform that unifies search, assistants, and autonomous agents to accelerate work.

🇺🇸52.4%
3.5M
データ分析Enterprise Search+10
YOU

YOU

AI‑ready web search & content extraction APIs

🇺🇸25.3%
1.1M
データ分析AI+11
GPTGO

GPTGO

Free web search meets real‑time ChatGPT answers.

🇺🇸7.36%
106K
データ分析search engine+11
Rayyan

Rayyan

AI-powered platform for systematic literature reviews, screening, deduplication, data extraction, and evidence synthesis.

🇺🇸19.7%
1.2M
データ分析systematic review+11
M

Metaphor Systems

Real‑time web search API for AI agents

🇺🇸40.3%
757K
データ分析search API+7
Duck.ai

Duck.ai

Privacy-focused AI chat feature from DuckDuckGo.

🇺🇸53.6%
690M
データ分析privacy-focused+6
Marqo

Marqo

AI‑native search, recommendation, and merchandising platform that trains a dedicated LLM on your product catalog.

🇺🇸26.9%
27K
データ分析AI search+11

よくある質問

What is TextQL?
TextQL is an enterprise AI data analytics platform that deploys scalable AI data analyst agents to connect to existing warehouses, databases, and apps, delivering actionable insights from complex data without requiring SQL or data migration.
Does TextQL require users to write SQL?
No. Users can ask business questions in plain English and receive immediate analysis that can be acted on without writing SQL.
What data sources can TextQL connect to?
TextQL connects to existing warehouses, lakes, databases, and apps with no data migration or pipeline rebuilds required. Supported connectors include BigQuery, Redshift, Snowflake, Supabase, ClickHouse, Postgres, Azure, Aurora, Tableau, Power BI, Databricks, MotherDuck, MySQL, SQL Server, Slack, API Connectors, and MCP Connectors.
Where can TextQL be deployed?
TextQL can be deployed in public cloud, VPC, or on-premises environments, including air-gapped setups that keep data and infrastructure under full customer control.
How is TextQL priced?
Full pricing tiers or costs are not clearly published by the official source. The homepage states 'Bring everyone in, for free' for rolling out self-serve access to business teams.
Can TextQL work with large numbers of tables?
Yes. TextQL can work across hundreds of thousands of tables with minimal configuration.

TextQL 連絡先とソーシャルメディア

公式ウェブサイトにアクセス

レビュー

-

このツールの使用経験を共有してください...

ツール情報

料金モデルUnknown
カテゴリデータ分析
タグ
AI data analyticsdata analyst agentsnatural language queryingno SQLenterprise AISlack integration
言語英語
最終更新日2026年7月16日
このツールを請求する