No-code AI web scraper and website monitor
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 | TextRazor, spaCy, DolphinDB, Zilliz, Siwalu |
| Budget | Under $15/mo | Site24x7, New Relic, PDF Parser |
| Mid-range | $15 to $39/mo | Browse GPT: What People Usually Mean and Where Browse AI Fits, InsightBase, AI for Database |
| Premium | $40/mo and up | Dataspark AI, Aito, Ximilar, FusionCharts |
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
-
-
PROS
3.6AI-powered airline retailing and offer management
-
Tradomate
3.4Market pulse, screens, flows and catalysts for Indian stocks on one screen
-
Vibe AI
3.1Turning social data into civic insight
-
Microsoft's cloud platform for building, training and deploying machine learning models
-
A lakehouse platform for data engineering, analytics and machine learning on one stack
-
TextRazor
3.5Text analysis API for entity extraction, topic tagging and relations
-
Datachat
3.3Chat with your data using natural language
-
Dataspark AI
3.7AI-powered data analytics platform for modern teams
-
Visual, no-code platform for building and training deep learning models
-
spaCy
4.3Industrial-strength natural language processing in Python
-
Abtesting AI
3.0 -
InsightBase
3.9InsightBase lets non-technical teams query databases in plain English and build dashboards without writing SQL.
-
Aito
4.3Predictive database that returns calibrated predictions from a company's own data in a single query, with no model to train, for invoice coding, routing, smart search, recommendations, anomaly detection and as a tool for AI agents.
-
Tamr
4.3AI-native master data management platform that matches, cleans and enriches records into golden records using entity resolution, AI agents with human oversight, a knowledge graph and an MCP connection for LLMs.
-
CARTO
4.3Cloud-native GIS platform for spatial analysis that runs inside BigQuery, Snowflake, Redshift or Databricks, with AI Agents that answer location questions and build maps from natural-language prompts.
-
Site24x7
4.3Observability platform for DevOps and IT operations with AIOps: anomaly detection that learns each monitor's normal, Zia forecasting, causal AI event correlation that groups alert storms, and Zia agents for automated fixes.
-
DolphinDB
4.1Time-series database and real-time computing platform with AI features on top: Chat-to-Query text-to-SQL, RAG-based Smart Q&A, native MCP support for LLMs, in-database ML inference and the DolphinMind assistant.
-
AI-powered enterprise search and discovery platform whose Fusion product combines neural hybrid search, query intent classification and guardrails for large language models, sold as packages, no-code Studios and Lucidworks AI.
-
dotData
4.0Predictive analytics platform that automates feature engineering across multi-table data to find signals and KPI drivers, with products for no-code modeling, model operations and text analytics.
-
New Relic
4.3Observability platform that monitors applications, infrastructure and AI systems, with New Relic AI as a context-aware assistant, AIOps for predicting incidents and Autopilot for automated issue investigation.
-
Zilliz
4.6Fully managed vector database platform built by the creators of Milvus, offering real-time vector search, hybrid retrieval and lake-scale analytics for AI applications at billion-vector scale.
-
Omnisearch
3.9Multimodal AI search engine that indexes faces, logos, scenes, speech and text across video, audio and documents for e-learning, media and archival content.
-
Ximilar
3.9Computer vision API platform from Ximilar for fashion tagging, visual search, collectibles recognition and custom image models, free for up to 1,000 API credits a month.
-
Siwalu
3.6AI animal-recognition apps from Siwalu Software that identify dog, cat and horse breeds from a photo, with 28.5 million downloads.
-
Atmo
3.7Deep-learning weather forecasting from Atmo Inc. for governments, militaries and industry, being acquired by Vaisala.
-
Gestualy
3.4Spanish gesture-voting service that reads satisfaction from hand gestures on a webcam, with AI-inferred mood, age and gender.
-
FusionCharts
3.5JavaScript charting library for web and mobile apps, with Ask FusionDev AI as a documentation and code assistant.
-
Keboola
3.9Unified data and AI platform with 1,500+ sources, the Kai assistant, finance agents and an open-source MCP server.
-
ParallelDots
4.0Shelf image recognition for CPG field teams: share of shelf, planogram, price and out-of-stock checks from store photos.
-
An AI agent grounded in structured customer journey context rather than loose documents.
-
Now called CRM Analytics, after three previous name changes
-
AI for Database
3.7Ask your database. Build dashboards. Trigger workflows.
-
SuperAnnotate
4.3Data infrastructure for AI teams – annotation tooling in any modality, a vetted expert annotator network, and evaluation workflows, rated #1 on G2 by AI teams.
-
S5 Stratos
3.9Assortment planning, financial planning and allocation for retail and CPG merchandising.
-
Monterey AI
3.6AI feedback analysis that tags, routes and prioritizes customer input from calls, chat, email and tickets.
-
PDF Parser
3.6GPT-4-class vision models read PDFs and images with no templates required – adapting to structured forms or messy free-text layouts alike, JSON or CSV back in under 30 seconds.
-
Ango Hub
3.7Human-in-the-loop data platform from iMerit for AI development – annotation, model failure spotting and quality workflows.
-
Faraday
3.41,400+ data points on 240 million US adults, sub-200ms API responses, custom churn and conversion-propensity models – a B2B customer-context platform, not a chat product.
-
Wonderflow
3.8"Wonder Agents" (Persona Builder, Churn Watch, Loyalty Tracker) analyze feedback from 1,000+ sources in 100+ languages – trusted by Philips, Nestlé, and Michelin.
-
Canopy
3.5Unsupervised AI learns your wind or solar asset's normal behavior, then flags underperformance and detects failures – bearing imbalance, gearbox issues – before they cause downtime.
-
Explicitly "an analytics platform, not a sportsbook" – AI match forecasts from serve stats and fatigue data, no betting links anywhere on the site.
-
Incentivai
3.2Machine learning and human-like AI agents simulate your incentive structures before you deploy them – stress-test blockchain economies and mechanism design in advance.
-
5-Out
3.5AI predicts tomorrow's restaurant sales and turns that forecast directly into what to purchase and how to schedule labor, connecting to your POS in about 5 minutes.
-
DeepInspection
3.3AI that processes terabytes of infrastructure photos to automatically spot physical damage at scale – proven on real-world deployments like railroad inspection.
-
Stormly
3.7Product and behaviour analytics built specifically for ecommerce, with an AI assistant, EU data residency, and a free tier covering 10k events a month.
-
ChartBrick
3.4Connect your data and AI picks the best chart type automatically – no manual chart selection, with 20+ types and auto-updating live visualizations.
-
PostgresAI
3.9Automated senior-DBA expertise for Postgres – monitoring, health checks, issue detection, zero-downtime upgrades and thin database clones via DBLab.
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.