Best Data & Analytics Tools for Business

Scale AI is the leading data labeling and AI infrastructure company, providing high-quality training data for the world's leading AI labs and enterprises. Offers human-in-the-loop labeling, RLHF services, model evaluation, and enterprise AI applications.

Glean is an enterprise AI search platform that indexes all your company's apps — Slack, Drive, Jira, Salesforce, and 100+ more — and gives employees AI-powered answers to any work question with source citations.

Roboflow is the end-to-end computer vision platform for building and deploying vision AI. Manage datasets, annotate images, train models, and deploy to any device. Hosts over 100,000 public datasets and integrates with YOLO, SAM, and other popular frameworks.

Databricks is the leading data and AI platform built on Apache Spark and Delta Lake. Its AI/BI feature enables natural language queries across the data lakehouse, and Unity Catalog governs all data and AI assets.

Databricks AI/BI is a next-generation business intelligence product built natively on the Databricks Data Intelligence Platform that uses AI to democratize data access across organizations. Its Genie feature enables business users to query data using natural language without SQL knowledge, with the AI understanding organizational context and data semantics. Dashboards are AI-assisted, with automatic chart type recommendations and narrative generation. Databricks AI/BI is unique in being directly integrated with the Delta Lake data lakehouse, eliminating data movement and ensuring that all BI reports query fresh, governance-compliant data. It is designed to replace traditional BI tools for companies already on the Databricks platform.

Omni is a modern business intelligence platform that unifies self-service exploration with a centralized semantic layer, allowing both technical and business users to analyze data with confidence in metric consistency. Its AI features include natural language to SQL translation, automatic chart type suggestion, and AI-generated data summaries for stakeholder reports. Omni operates directly on cloud data warehouses including Snowflake, BigQuery, and Redshift, and integrates with dbt for semantic layer synchronization. The platform is designed to bridge the gap between the flexibility that analysts need and the governance that business teams require, with a query experience that scales from simple drag-and-drop to raw SQL.

Sigma Computing is a cloud-native analytics platform that brings the familiar spreadsheet interface to cloud data warehouses, allowing business analysts to explore and analyze billions of rows of data without SQL. Its AI Copilot feature enables users to ask questions in natural language, generate formulas, and summarize findings in plain text. Sigma operates directly on data in Snowflake, BigQuery, Redshift, and Databricks without extracting data, ensuring security and freshness. The platform is designed for the modern analytics workflow where business users need self-service access to large datasets without depending on data engineers for every analysis. It is used by high-growth companies for their core business analytics.

Observable is a collaborative data visualization platform built around JavaScript notebooks that enables data teams to create, share, and reuse interactive charts and dashboards. Its AI-powered Plot feature uses natural language to generate D3-based visualizations from data, while the reactive notebook runtime ensures that all charts update automatically when upstream data or parameters change. Observable has a large community of data visualization practitioners who share open notebooks, making it a learning platform as well as a production tool. The platform integrates with databases, APIs, and file uploads, and notebooks can be embedded in any website. It was acquired by Databricks in 2023 to enhance their data lakehouse analytics experience.

Tableau, now with AI-powered Pulse and Einstein capabilities, is the leading data visualization platform. Its AI features suggest visualizations, generate insights, and allow natural language questions about dashboards for business intelligence.

Hex is a modern collaborative data workspace where analysts write SQL and Python in a notebook-like environment with built-in AI assistance. Magic AI generates queries from natural language, explains code, and fixes errors for faster data analysis.

Hex is a collaborative data workspace combining SQL, Python notebooks, and no-code visualizations. Magic AI writes queries and code from natural language for analysts and data teams.

Dataiku is the platform for Everyday AI — enabling data experts and domain specialists to collaborate on AI projects at scale. Used by 500+ enterprise customers for end-to-end AI lifecycle management.

Lightdash is an open-source BI platform built specifically for dbt users that automatically generates a metrics layer and self-service analytics interface from dbt models. Its AI features include natural language querying that translates business questions into dbt-native queries, chart generation, and automated dashboard building. Because Lightdash reads directly from dbt project definitions, all metrics and dimensions are consistent with what engineers have defined as business logic, eliminating the metric inconsistency problem common in traditional BI tools. The platform is self-hostable and has strong community support among modern data stack practitioners. It is used by teams that want BI to be a natural extension of their dbt transformation workflow.

Deepnote is a collaborative data science notebook platform with embedded AI assistance that enables data teams to write code, analyze data, and share insights in a cloud-based environment. Its AI features include code generation from natural language, automatic error explanation, SQL query assistance, and smart autocomplete for Python and SQL. Deepnote notebooks are real-time collaborative like Google Docs, with version history and team commenting. The platform supports scheduled runs, parametrized notebooks for reporting automation, and one-click publishing of notebooks as shareable data apps. It connects to databases, cloud storage, and data warehouses, making it suitable for both exploration and production analytics pipelines.

Metabase is a popular open-source business intelligence tool that lets anyone query data without SQL using a visual query builder. The AI natural language interface lets non-technical users ask data questions in plain English and get instant charts.

ThoughtSpot uses AI-powered search and natural language queries to let anyone explore billions of rows of data without SQL. SpotIQ automatically discovers anomalies and insights, making data-driven decisions accessible to all business users.

Dune Analytics is the go-to platform for blockchain data analytics, providing SQL-based queries and AI-powered dashboards for on-chain data. Used by DeFi researchers, crypto traders, and Web3 companies to analyze blockchain activity.

Deepnote is a collaborative Jupyter-compatible notebook with AI code generation, real-time collaboration, and one-click deployment. Features a ChatGPT-like AI assistant for data science that generates code, explains results, and fixes errors.

Equals is a next-generation spreadsheet connected directly to databases and data warehouses, combining the familiar spreadsheet interface with live data queries and AI-assisted analysis. Users can write SQL queries that populate spreadsheet cells, create pivot tables from live warehouse data, and use AI to write formulas, generate charts, and summarize findings. Equals is used by operators, finance teams, and growth analysts who live in spreadsheets but need access to the full power of their company's data stack without switching tools. The platform supports Snowflake, BigQuery, PostgreSQL, MySQL, Stripe, Salesforce, and many other data sources with direct live connections.

Count is a collaborative analytics canvas where data teams can build analyses that combine SQL, Python, and narrative text in a freeform visual workspace rather than a linear notebook. Its AI features help analysts write and debug SQL, explain results, and generate chart recommendations. The canvas format encourages storytelling around data, making it easier to present analysis findings to stakeholders directly within the same tool. Count connects to Snowflake, BigQuery, Redshift, dbt, and other modern data stack components. Teams use Count as their primary analysis and documentation tool, replacing a combination of notebooks, spreadsheets, and slide decks with a single collaborative workspace.

Julius AI lets you upload spreadsheets, CSVs, and databases, then ask questions in plain English. It generates charts, runs statistical analysis, and creates reports automatically, making data analysis accessible to non-technical users.

Equals is a next-generation spreadsheet that connects directly to your database and warehouse. Write SQL or use AI to query your data directly in a familiar spreadsheet interface, with live data sync and collaboration for startup analytics teams.

Mode is a modern analytics platform combining SQL, Python notebooks, and rich visualizations with AI-powered query assistance. Ideal for data analysts who need to build and share reports quickly.

Landing AI, founded by Andrew Ng, provides LandingLens — a visual AI platform for industrial and manufacturing inspection. Features AI-assisted labeling, AutoML training, and deployment tools optimized for detecting product defects and quality control.

Polymer converts any spreadsheet or dataset into a beautiful, interactive dashboard in seconds. No coding or data skills needed — connect data and the AI builds visualizations automatically.

Labelbox is a comprehensive data labeling platform with AI-assisted annotation, workforce management, and model evaluation tools. Supports images, video, text, and geospatial data with model-assisted labeling to reduce annotation time.

Clarifai is a full-stack AI platform for building, deploying, and scaling vision and language models. Offers pre-trained models for image recognition, face detection, and moderation, plus tools to train custom models with your own data.

Count is a collaborative data analysis tool combining SQL, Python, and AI in a canvas-based notebook. Teams explore data together with AI suggestions, narrative comments, and chart generation from natural language.

Obviously AI lets business analysts build and run predictive ML models without any coding. Upload data, predict outcomes, and automate predictions — all through a simple interface.

Tellius is a decision intelligence platform with natural language search, automated insight discovery, and AI-powered root cause analysis. Business users ask questions in plain English and get instant insights without waiting for data teams.

Coefficient connects your business data from Salesforce, HubSpot, and 50+ other tools directly to Google Sheets and Excel. AI helps you build reports, sync data, and create dashboards.

Pecan AI is a predictive analytics platform that enables business analysts to build production-ready machine learning models without data science expertise. AutoML and LLM-powered Predictive GenAI guide users from business question to deployed model.

Akkio helps agencies and analysts build AI-powered applications, predictive models, and automated reports without code. Connect to data sources and deploy AI insights in minutes.

Obviously AI makes machine learning accessible to business analysts. Upload data, select a prediction target, and get accurate ML predictions without writing a single line of code.