Alternatives to DOBS AI

Definite turns plain-English questions into self-hosted data apps backed by 500+ connectors and an AI analyst named Fi.

SQLBot turns plain-language questions into SQL, answers and charts over your own MySQL or PostgreSQL database — open source and self-hosted.

Julius AI turns plain-English questions about your CSV, Excel, or Postgres data into charts, statistical tests, and regression models.

Chat2DB turns plain English into runnable SQL across 40+ databases — with AI text-to-SQL that keeps your rows on your own machine.

Healthcare price transparency data turns into negotiable rate benchmarks, provider rate scores, and traceable answers for US payer and

Open-source agentic AI data assistant that writes SQL, runs code in a sandbox, and chats with your self-hosted databases

Open-source SQL data warehouse on object storage — BI analytics, vector search, full-text search and geospatial in one engine

Airbyte replicates data from 700+ sources and serves it to AI agents as governed context through its MCP server and Context Store.

DataLab turns plain-English questions into runnable SQL, Python and R inside an AI data notebook you can review and share.

AI-native master data management that turns messy CRM and ERP records into trusted golden records in real time.

Anomalo uses AI agents to monitor data quality across your warehouses, catching freshness, schema, and distribution problems before dashboards break.

Pandada AI turns plain-English questions about your files into charts and shareable data reports

Open-source Python framework for building, versioning, and deploying ML, AI, and data science workflows to the cloud.

hiData is an AI workspace that turns PDFs, screenshots, and spreadsheets into clean tables, analysis, and presentation-ready slides in one chat flow.

Opta-backed sports data, live feeds and AI content tools for media, broadcasters, teams and sportsbooks.

Deepnote is a collaborative cloud notebook for Python and SQL where humans and AI agents build analyses, dashboards, and data apps together.

Observable is a reactive JavaScript notebook for building interactive data visualizations and shareable data apps in the browser.

Databricks runs your lakehouse data, analytics and production AI agents on one governed platform across AWS, Azure and GCP.

OneSchema runs AI agents over 10GB+ files to ingest, normalize, and validate enterprise data for regulated industries.

Python data apps with Plotly Dash: build interactive analytics dashboards using pure-Python callbacks and no front-end code.

Query any Hugging Face dataset as Parquet through a free REST API — no full download needed.

Granica is an efficiency layer for enterprise AI that cuts data lake storage costs and keeps long-running agent state alive.

Pecan AI turns plain-English questions into customer churn, LTV, and conversion predictions that land in your CRM.

GetDot is an AI data analyst that answers plain-English questions in Slack, Teams, or email with the number, the chart, and the SQL behind

Jotform AI Data Assistant: build AI tables, charts, and bulk actions from your form submissions

Dashboard-as-Code turns a YAML or TSX file in your repo into an interactive dashboard served by one Go binary.

Open-source GenBI engine that gives AI agents a governed context layer for SQL and dashboards

Amazon SageMaker unifies data, analytics, and AI so teams can build, train, and deploy ML and foundation models on AWS.

Text2SQL.ai converts plain-English questions into dialect-correct SQL for 10+ databases, with a schema-aware assistant and a local-execution desktop app.

PandasAI turns plain-English questions into SQL, pandas code, and charts with proactive anomaly alerts