Leni
4.0Agentic AI analyst automating underwriting and portfolio reporting for commercial real estate teams.
Make your tool one of the first five in Data and Analytics. Sponsored spots from $159/month
Our highest-rated Data and Analytics AI tools are Zilliz, Celonis, and FiftyOne. Zilliz is our top overall pick (4.6/5), and it includes a free plan. Compare these 8 below by price, features and rating to find the right fit.
★ Top pickZillizOur highest-rated pick, known for real-time vector, full-text, JSON and geospatial hybrid searchVisit Zilliz
| Tool | Best for | Free | From | Rating | Visit |
|---|---|---|---|---|---|
 Zilliz | Best overall | Yes | Free | 4.6 | Visit |
 Celonis | Also worth a look | No | — | 4.6 | Visit |
 FiftyOne | Best free option | Yes | Free | 4.5 | Visit |
 Power BI Copilot | Most popular | No | $14/mo | 4.4 | Visit |
 Tableau Pulse | Also worth a look | No | $15/mo | 4.4 | Visit |
 Vanna | Best value | Yes | Free | 4.4 | Visit |
 ThoughtSpot | Also worth a look | No | $25/mo | 4.4 | Visit |
 Hex | Also worth a look | Yes | $36/mo | 4.0 | Visit |
Best Data and Analytics AI tool for each use case
Querying a database in English
Vanna lets analysts and non-technical staff ask questions in plain language and returns runnable SQL, using a retrieval framework trained on your schema and example queries. It works with many databases and large language models, including local models, which suits teams that want control over where queries run.
Conversational enterprise BI
Databricks Genie gives business users a chat interface to query governed data in Unity Catalog and returns text summaries, tables, and visualizations. Because it draws on technical and business metadata, it can answer questions in an organization's own terminology while keeping data governed.
Analyzing a spreadsheet by chat
Julius AI lets you upload CSV and Excel files, then clean data, run statistics, and generate charts through natural-language prompts. It previews your dataset and suggests questions, which helps people who are comfortable with spreadsheets but do not code.
No-code prediction and forecasting
Pecan AI guides business teams through building validated predictive models for outcomes like customer churn and demand, without coding. Its conversational co-pilot prepares data and builds the model, then shows the drivers behind each prediction for explainability.
How to choose a Data and Analytics AI tool
What to evaluate
- Match the tool to your team's skills — because SQL assistants, spreadsheet chat, and enterprise BI each assume a different starting point.
- Check data source connectors — since the product must reach your warehouses, databases, or spreadsheets to be useful.
- Weigh governance and trust features — because shared metrics and warehouse access need permissions, auditing, and query review.
- Decide whether you need description or prediction — since conversational BI explains what happened while predictive tools estimate what will.
Which one should you pick?
If you want generated SQL you can run against your own databasePick Vanna, an open-source retrieval framework that turns natural-language questions into SQL and can run with local models.
If you already run on a governed enterprise warehouse and want chat answersPick Databricks Genie, which lets business users query Unity Catalog data and get summaries, tables, and charts.
If you need to forecast outcomes without writing codePick Obviously AI, which builds AutoML predictive models from your historical data and explains feature importance.
Best free Data and Analytics AI tools
These Data and Analytics tools offer a genuine free plan or trial, a smart place to start before you pay.
How much do Data and Analytics AI tools cost?
| Price tier | What you get | Examples |
|---|---|---|
| Free | $0, free plan or open-source | spaCy, DolphinDB, Zilliz, Siwalu, Gestualy |
| Budget | Under $15/mo | Site24x7, New Relic, PDF Parser, TennisPredictions.ai |
| Mid-range | $15 to $39/mo | InsightBase, AI for Database |
| Premium | $40/mo and up | Aito, Ximilar, FusionCharts, Stormly |
Pro tips
- Train natural-language-to-SQL tools like Vanna and BlazeSQL on your schema, documentation, and sample queries before trusting their output, since context drives accuracy.
- Define your key metrics once in a shared layer, as Tableau Pulse does, so every team reports from the same definitions.
- Always open and read the SQL a tool generates before running it on production data, even when the natural-language answer looks correct.
- For predictive work in Pecan AI or Obviously AI, review feature importance to confirm the model relies on sensible drivers rather than data leakage.
How we check & rank
We verify every tool in this category is live and write its listing from the vendor’s own material, then score it on value, feature depth and how well it fits the job. Rankings are never for sale, and affiliate links never change a score. Read our full methodology
Browse all tools
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ChartPixel
3.8No-code AI data analysis tool turning spreadsheets into charts and written insights within seconds.
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Fluent
4.0AI data analyst that answers business questions asked in plain English.
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Gather AI
4.0Physical AI platform that uses autonomous drones and computer vision for warehouse inventory visibility.
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IBM's collaborative workspace for building, training, and deploying machine learning models across the AI lifecycle.
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GobbleCube
3.9AI revenue-analytics platform that turns marketplace and e-commerce data into channel-level growth actions for brands.
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Base64.ai
4.1Document AI platform that extracts structured data from scanned forms, IDs, and invoices through an API.
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CitySwift
4.3AI-powered performance-optimization platform helping bus networks adapt routes, schedules, and timetables from live data.
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Axion
4.2An AI observability platform that helps manufacturers detect and resolve product quality issues from field and service data.
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Coginiti
4.2Coginiti pairs an AI SQL assistant with a governed semantic layer so data teams and AI agents work from the same trusted metrics.
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Databox
4.1A business intelligence dashboard that pulls metrics from 130+ tools and explains what changed in plain language.
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Celonis
4.6Process mining platform that reconstructs and analyzes business workflows from system event log data.
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Kater.ai
3.8AI data agent that writes and validates its own SQL queries to answer business questions in plain English.
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Supersimple
4.1Self-service business intelligence with governed definitions and permission-aware answers.
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Flowpoint
4.0AI web analytics platform that visualizes user journeys and flags conversion drop-off points.
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Real-time production analytics and data quality tooling for manufacturers.
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Mavarick AI
3.8AI intelligence layer that turns live production and fleet data into manufacturing decisions.
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AskYourDatabase
3.8Conversational AI that lets teams query SQL and NoSQL databases in plain language instead of writing queries.
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Columns
3.9Columns AI connects to spreadsheets and databases to auto-generate interactive data stories and dashboards without SQL.
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Kudra
3.8Document intelligence software that extracts structured data from invoices, contracts, and resumes with embedded AI agents.
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Revuze
3.9Market and product intelligence that consolidates fragmented customer signals into one view.
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Waydev
4.0Engineering intelligence that measures AI adoption and its impact from code to production.
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Dataspot
3.9Metadata management software that gives organizations a governed, searchable map of where their data lives.
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Atlan
4.3Active metadata platform that unifies data discovery, lineage, and governance across the modern data stack.
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HouseCanary
4.2AI-driven real estate valuation and property data platform for lenders and investors.
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Dema.ai
4.0Commerce intelligence platform that unifies sales, inventory, and marketing data into AI-forecasted dashboards for online retailers.
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TasteGPT
3.9A food and beverage intelligence assistant trained on live consumer, menu and retail signals.
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Logmind
3.9AIOps platform that parses unstructured log and event data to detect and correlate IT infrastructure issues before they cause downtime.
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4M Analytics
4.0AI-powered subsurface utility mapping that turns scattered records and imagery into a verified underground infrastructure map.
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Civils.ai
4.0Construction-focused AI that extracts, checks, and cross-references data from drawings, contracts, and site reports.
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Almetra
4.0AI cameras above factory production lines turn shop-floor video into live cycle-time and output data.
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AiDash
4.3Fuses satellite imagery and AI to help utilities and infrastructure operators manage climate risk.
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NobleAI
4.1Science-based AI platform that speeds material and chemical product development.
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FiftyOne
4.5Open-source toolkit for curating, visualizing, and debugging computer vision datasets and models.
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Hightouch
4.2Reached unicorn status syncing warehouse data back out to the marketing and sales tools teams already use
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Well
3.8Connects business tools into one enriched graph with more than 120 connectors.
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Alation
4.2An enterprise data catalog that helps large organizations search, govern, and trust their data and AI models.
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Jua AI
4.3Physics-based AI weather model built for energy traders who need 1km-resolution forecasts.
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Akirolabs
3.8An AI-powered category management platform for enterprise procurement teams.
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Deepnote
4.2Cloud notebook that combines Python, SQL, and AI assistance for teams doing collaborative data analysis.
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Augurisk
3.8A risk-assessment platform scores US addresses against disaster, crime, and financial exposure factors.
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Anomalo
4.3Data quality platform that detects and explains anomalies across enterprise data warehouses without manual rule-writing.
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AI Palette
4.2Predictive analytics platform that mines social, search, and menu data to forecast food and beverage trends.
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Metaplane
4.1Data observability platform that monitors tables for anomalies and lineage issues across the data stack.
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Competera
4.3Competera recommends retail prices in real time using competitor data, demand signals, and machine learning built for enterprise merchandising teams.
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Danti
3.8Natural-language search across satellite imagery, news, and geospatial data for defense, insurance, and infrastructure teams.
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Defog
3.9Fine-tuned language models translate natural-language questions into SQL for enterprise data teams.
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CXScore
3.6AI CXOps platform that simulates customer reactions to validate product and campaign decisions before launch.
About Data and Analytics AI tools
This category covers software that applies AI to the work of understanding data. It spans natural-language-to-SQL assistants that translate plain English into queries, conversational business intelligence that answers questions over governed warehouses, spreadsheet AI that cleans and charts data inside a familiar grid, and predictive analytics that builds forecasting models with little or no code. Data analysts, product managers, marketers, and operations teams all use these products. Vanna generates SQL through a retrieval framework, Hex blends SQL and Python in one notebook, and ThoughtSpot answers business questions across enterprise data.
Use these criteria to compare options before you commit:
- Data source coverage, because a tool is only useful if it connects to the warehouses, databases, and spreadsheets where your data already lives.
- Accuracy and trust, because a generated query or prediction is worthless if you cannot verify how it was produced.
- Skill fit, since some products assume SQL or Python fluency while others target people who have neither.
- Governance and security, because shared metrics and warehouse access need permissions, auditing, and compliance controls.
Data and Analytics AI tools — FAQ
What are AI data analytics tools?
They are applications that use AI and large language models to help people explore, analyze, and act on data. Some convert plain-English questions into SQL or charts, others build predictive models, and several layer conversational answers on top of existing business intelligence platforms. The goal is to make analysis accessible to people beyond a dedicated data team.
Do I need to know SQL to use these tools?
For many of them, no. Tools like Vanna and BlazeSQL generate the SQL for you from natural-language questions, and spreadsheet products like Sourcetable and Julius AI let you analyze data through chat. That said, products such as Hex are built for analysts who want to work directly in SQL and Python, so the right fit depends on your skills.
Are there free options in this category?
Yes. Vanna is open source and can run locally, and several products including Sourcetable, Julius AI, and Formula Bot offer a free plan with usage limits. Enterprise BI platforms such as Databricks Genie, Tableau Pulse, and Power BI Copilot are typically sold as features within their broader paid suites, so pricing depends on the underlying platform license.
How accurate and trustworthy are the results?
Accuracy varies with the tool and the quality of your data and metadata. Several products address this directly: BlazeSQL supports knowledge notes and query review workflows, Pecan AI validates its models and shows the drivers behind predictions, and Tableau Pulse explains insights in natural language with supporting visuals. Always review generated queries and model outputs before relying on them for decisions.