Best Analytics Platforms - Page 23

How Many Analytics Platforms Products Does G2 Track?

Total Products under this Category: 597

Category Stats (Sep 2026)

  • Average Rating: 4.51/5 (↑0.01 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: BlazeSQL (+2.75%) - Among all products in this category, BlazeSQL recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Analytics Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 29,000+ Authentic Reviews
  • 597+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Analytics Platforms

G2 Grid® for Analytics Platforms plotting products by satisfaction and market presence

Highlighted products: Microsoft Power BI, Tableau, Databricks, SAS Viya, Alteryx, Domo, Looker, and Kyvos Semantic Layer.

Underlying data: [Grid® JSON](https://www.g2.com/categories/analytics-platforms/grids.json?focus%5B%5D=microsoft-microsoft-power-bi&focus%5B%5D=tableau&focus%5B%5D=databricks&focus%5B%5D=sas-sas-viya&focus%5B%5D=alteryx&focus%5B%5D=domo&focus%5B%5D=looker&focus%5B%5D=kyvos-semantic-layer)

DataFloat

AI-Driven Lifeline for Your Financial Intelligence Needs

Who Is the Company Behind DataFloat?

  • Seller: DataFloat
  • Year Founded: 2025
  • HQ Location: Toronto, Ontario, CA
  • LinkedIn® Page: www.linkedin.com
    3 employees on LinkedIn®

DataLab

DataLab is a data notebook that (1) smartly leverages generative AI technology so you can ‘chat with your data’, (2) features a powerful IDE to review, tweak and run your analysis, and (3) seamlessly turns your work into an beautiful, shareable report.

Who Is the Company Behind DataLab?

  • Seller: DataCamp
  • Year Founded: 2014
  • HQ Location: New York, NY
  • Twitter: @DataCamp
    108,287 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,916 employees on LinkedIn®

DataLumio

DataLumio is an AI-powered data analysis platform that helps researchers, analysts, students, and organizations transform structured and unstructured data into actionable insights. The software enables users to analyze spreadsheets, datasets, PDFs, research documents, and survey responses through a no-code workflow that combines data preparation, analysis, visualization, and reporting in a single environment. Its primary use cases include academic research, business intelligence, market research, operational reporting, and document analysis. The platform is designed to simplify common data analysis tasks that often require multiple tools or technical expertise. Users can upload data files or documents, select an analysis type, and generate structured outputs such as statistical summaries, thematic insights, visual dashboards, and downloadable reports. DataLumio supports both qualitative and quantitative analysis, making it suitable for projects involving numerical datasets as well as text-based research materials. Key capabilities include: * AI-assisted qualitative and quantitative data analysis for structured and text-based data. * Interactive PDF and document analysis through a conversational interface. * Automated data cleaning and preparation to improve dataset quality. * Visual dashboards, charts, and exportable reports for presenting findings. * Data integration options for connecting multiple data sources and workflows. DataLumio is intended for users who need to reduce manual effort during the data analysis process. Academic researchers can analyze interviews, surveys, and literature, while business teams can explore operational and customer data to support decision-making. Students, consultants, nonprofit organizations, and policy teams can also use the platform to organize information and generate structured outputs for reporting and collaboration. The software combines document intelligence, AI-assisted analytics, data visualization, and reporting within a unified web-based platform. By integrating these functions into a single workflow, DataLumio provides an alternative to managing separate applications for data preparation, analysis, and presentation. The platform focuses on making data exploration and insight generation more accessible to both technical and non-technical users while supporting a variety of research and business use cases.

Who Is the Company Behind DataLumio?

Datarelix

Ask your database in plain English. Datarelix runs transparent, read-only queries you can verify, then lets you build refreshable dashboards or export the results.

Who Is the Company Behind Datarelix?

DataStories Platform

DataStories Platform is an advanced predictive analytics software which makes it possible to generate insights from data without having prior background in data science.

Who Is the Company Behind DataStories Platform?

Datastory

Who Is the Company Behind Datastory?

  • Seller: Elsevier
  • Year Founded: 1880
  • HQ Location: Amsterdam, NL
  • Twitter: @ElsevierConnect
    117,360 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    12,798 employees on LinkedIn®

DatIQ - Intelligence, Connected.

DatIQ, turns web, social, and market signals into automated revenue workflows. Web intelligence platform — extract, enrich, and operationalize data from any public URL, batch, or scheduled run. Enrichment & Insight — AI summaries, lead scoring, contact enrichment, social discovery, company extraction, and content generation. Workspace & Collaboration — shared workspaces, role-based access, audit trails, and team-level usage controls — for agencies and researchers. Try DatIQ free, and scale.

Who Is the Company Behind DatIQ - Intelligence, Connected.?

Daxlate

Daxlate is a Windows desktop application that makes Power BI reports multilingual. It translates both the semantic model and the report canvas, and runs entirely on your machine with no cloud service. Most approaches to Power BI localization cover the semantic model only: cultures, plus captions and descriptions on tables, columns, measures, and hierarchies. Daxlate does that, and also translates what readers actually look at: visual titles, slicer headers, button labels, and text boxes. It is built for how translation work actually happens: - Side-by-side editing across all cultures in one grid, not one language at a time - Filter to "missing only" and every gap surfaces before a translator opens the file - Export every culture to a single Excel workbook, so translators work where they already work - Re-import with version tracking and a coverage badge per culture - Bulk culture add and remove in one click - Read-only mode for governance reviews and audits - Custom locales for regional dialects and language variants - The original .pbix is never overwritten: saves write a .pbit companion file

Who Is the Company Behind Daxlate?

Definite

Definite is an all-in-one data analytics platform that combines a managed data warehouse, ELT pipelines, semantic layer, and business intelligence in a single product. Teams connect data sources using 500+ pre-built connectors for CRMs, payment platforms, marketing tools, databases, and spreadsheets. Definite automatically ingests, stores, and models the data in a managed data warehouse powered by DuckDB. Users analyze data and build dashboards using Fi, an AI-powered analytics assistant. Fi translates natural language questions into SQL queries and returns visualizations, summaries, and insights without requiring technical expertise. Key capabilities: - Managed cloud data warehouse - 500+ pre-built data connectors and ELT pipelines - Semantic layer for reusable metrics and data modeling - AI-powered natural language querying (no SQL required) - Interactive dashboards and data visualizations - Automated reporting to Slack, email, and Google Sheets - Embeddable analytics and white-label dashboards Built for: Startups, small businesses, and lean data teams who need modern data analytics without managing a complex stack of tools like Snowflake, Fivetran, dbt, and Tableau.

Average Rating: 4.0/5.0

Total Reviews: 1

Who Is the Company Behind Definite?

  • Seller: Definite
  • Year Founded: 2023
  • HQ Location: Wilmington, US
  • Twitter: @definiteapp
  • LinkedIn® Page: www.linkedin.com
    8 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About Definite?

AI-generated summary from verified user reviews

Pros
  • Users praise the AI integration of Definite for simplifying data analysis and enhancing productivity significantly.
  • Users find the API integration of Definite easy to set up, making data pipelines reliable and efficient.
  • Users value the customization options in Definite, making integration and setup both seamless and reliable.
  • Users find Definite's ease of use exceptional, allowing seamless setup and reliable data pipeline integrations.
  • Users appreciate the easy integrations of Definite, enabling quick setup of reliable data pipelines and platforms.

What Are Recent G2 Reviews of Definite?

Delta IQ

Delta IQ tracks approvals across contract versions. Existing tools compare text or store documents, but they do not preserve the decisions tied to specific clauses as agreements evolve. Delta IQ links approvals to clauses and versions. When a new amendment is uploaded, it highlights impacted provisions and shows whether prior approvals still hold or need re-review. This helps teams avoid rereading entire documents as amendments accumulate, especially in credit and risk workflows. Website - https://www.deltaiq.tech/

Who Is the Company Behind Delta IQ?

Tian Lin
TL
Researched and written by Tian Lin
Updated July 2, 2025