Top Free Analytics Platforms - Page 2

How Many Analytics Platforms Products Does G2 Track?

Total Products under this Category: 604

Category Stats (Sep 2026)

  • Average Rating: 4.51/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Cube (+2.46%) - Among all products in this category, Cube recorded the largest rating increase compared to last month

Last updated: September 26, 2026

How Does G2 Rank Analytics Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 29,600+ Authentic Reviews
  • 604+ 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)

Dataiku

Dataiku is the Platform for AI Success: the AI orchestration layer where enterprises build, deploy, and govern analytics, models, and agents at scale. It sits on top of the data platforms, clouds, and AI services you already use, working across all of them without locking you into any one. Dataiku expands who can build production AI, putting the right tools in the hands of data scientists and domain experts alike, from fraud analysts to demand planners. It orchestrates machine learning, rules, LLMs, and agents as one governed system, built on more than a decade of running production AI. Governance is part of the build rather than something bolted on afterward, so teams ship faster while keeping performance, cost, and risk under control. The result: AI that moves from experimentation to trusted, measurable execution now, not in 18 months.

Average Rating: 4.4/5.0

Total Reviews: 223

How Do G2 Users Rate Dataiku?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.8/10 (Category avg: 8.4/10)
  • Reports Interface: 7.8/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Dataiku?

  • Seller: Dataiku
  • Company Website:
  • Year Founded: 2013
  • HQ Location: New York, NY
  • Twitter: @dataiku
    22,917 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,605 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Scientist, Data Analyst
  • Top Industries: Financial Services, Pharmaceuticals
  • Company Size: 59% Large, 23% Medium

What Do G2 Reviewers Say About Dataiku?

AI-generated summary from verified user reviews

Pros
  • Users appreciate how Dataiku simplifies ML development, enabling quick training, evaluation, and understanding of data easily.
  • Users find Dataiku easy to use, simplifying ML development and helping detect opportunities and risks effortlessly.
  • Users value the ease of use in Dataiku, enabling collaboration and simplifying complex data processes for all skill levels.
  • Users appreciate the easy integrations of Dataiku, facilitating collaboration across diverse analytics tools and skill sets.
  • Users commend the productivity improvement brought by Dataiku’s visual recipes and robust tools for analytics projects.
Cons
  • Users find the learning curve steep, making it challenging for beginners to fully utilize Dataiku's advanced features.
  • Users find the steep learning curve challenging, especially for beginners navigating Dataiku's advanced features.
  • Users find the difficult learning curve challenging for beginners, impacting their ability to maximize the platform's potential.
  • Users face slow performance with Dataiku when managing large datasets, impacting efficiency and productivity.
  • Users find the pricing high for small companies and students, impacting accessibility for basic projects.

What Are Recent G2 Reviews of Dataiku?

What Are G2 Users Discussing About Dataiku?

Incorta

Incorta is the first and only open data delivery platform that enables real-time analysis of live, detailed data across all systems of record—without the need for complex ETL processes. By enabling direct analysis on raw, source-identical data, Incorta provides faster, more accurate insights while removing barriers to exploration. With intuitive low-code/no-code tools, AI-powered querying through Nexus, and prebuilt business data applications, enterprise teams can quickly surface insights, break down technical roadblocks, and make smarter decisions without heavy engineering effort. For more information, please visit www.incorta.com.

Average Rating: 4.4/5.0

Total Reviews: 55

How Do G2 Users Rate Incorta?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.2/10)
  • Steps to Answer: 9.2/10 (Category avg: 8.4/10)
  • Reports Interface: 9.3/10 (Category avg: 8.8/10)
  • Calculated Fields: 9.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Incorta?

  • Seller: Incorta
  • Company Website:
  • Year Founded: 2013
  • HQ Location: San Mateo, CA
  • LinkedIn® Page: www.linkedin.com
    359 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 56% Large, 29% Medium

What Do G2 Reviewers Say About Incorta?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of integration with diverse data sources, enhancing their data management efficiency.
  • Users value the easy integrations with various data sources, enhancing their data analysis experience significantly.
  • Users value the ease of integration with various data sources, enhancing their workflow and data management.
Cons
  • Users often face bugs related to outdated JRE support, impacting the performance of the local data agent.

What Are Recent G2 Reviews of Incorta?

What Are G2 Users Discussing About Incorta?

KNIME

KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice.

Average Rating: 4.5/5.0

Total Reviews: 117

How Do G2 Users Rate KNIME?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.3/10 (Category avg: 8.4/10)
  • Reports Interface: 8.2/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind KNIME?

  • Seller: KNIME
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Zurich, Switzerland
  • Twitter: @knime
    7,998 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    244 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Higher Education
  • Company Size: 39% Large, 34% Medium

What Do G2 Reviewers Say About KNIME?

AI-generated summary from verified user reviews

Pros
  • Users find KNIME's ease of use enhances productivity, enabling even non-technical individuals to build workflows effortlessly.
  • Users find KNIME's coding ease remarkable, enabling effortless workflows without requiring extensive technical skills.
  • Users find KNIME to be an easy-to-learn platform, enabling quick workflow creation without coding skills.
  • Users find KNIME easy to learn and start delivering results, thanks to its intuitive visual workflow interface.
  • Users love the easy and intuitive data visualization capabilities of KNIME, enhancing understanding and communication of data insights.
Cons
  • Users find the initial learning curve challenging, especially for those unfamiliar with data science concepts and visual programming.
  • Users face memory usage issues with KNIME, leading to slow performance, especially with larger files and operations.
  • Users report storage limitations with KNIME, leading to performance issues and difficulties with large datasets.
  • Users note that data management issues hinder their experience, especially with file handling and certain databases.
  • Users find the lack of learning resources for KNIME to be a significant barrier to effective usage.

What Are Recent G2 Reviews of KNIME?

What Are G2 Users Discussing About KNIME?

Coefficient

Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets.

Average Rating: 4.7/5.0

Total Reviews: 202

How Do G2 Users Rate Coefficient?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.2/10)
  • Reports Interface: 10.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Coefficient?

  • Seller: Coefficient
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Palo Alto, CA
  • Twitter: @coefficient_io
    346 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    70 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Medium, 36% Small

What Do G2 Reviewers Say About Coefficient?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Coefficient, enjoying seamless data extraction and hassle-free synchronization across tools.
  • Users value the automation capabilities of Coefficient, making data management effortless and efficient.
  • Users appreciate the seamless integrations of Coefficient, enabling effortless data flow between systems like Salesforce and QuickBooks.
  • Users value the time-saving automation of Coefficient, reclaiming hours in their weekly reporting tasks.
  • Users find easy integrations with Coefficient seamless, enhancing productivity and simplifying their data workflow considerably.
Cons
  • Users find the limited filtering options in Coefficient restrictive and detrimental to their data analysis experience.
  • Users find the feature limitations of Coefficient frustrating, particularly with filtering and integration challenges.
  • Users find the limit of Google Sheets for multiple filters and imports restricts their data management capabilities.
  • Users find the missing features in Coefficient limiting, especially with filters and integrating charts from SFDC.
  • Users face integration issues with Coefficient, leading to frustrating limitations when connecting to other tools and systems.

What Are Recent G2 Reviews of Coefficient?

Lightdash

Lightdash is the fastest way for modern data teams to build and scale AI-powered self-serve analytics. It enables analysts to define metrics and make them accessible to non-technical users, who can explore data and build dashboards without writing SQL. Lightdash integrates with modern data stacks, supports a governed semantic layer, and offers developer-friendly features like Git-based workflows. It is designed to reduce the overhead of maintaining BI tools, streamline metric definitions, and improve access to consistent data across teams. Lightdash is used and trusted by companies of all sizes, from start ups to international publicly listed organisations.

Average Rating: 4.9/5.0

Total Reviews: 19

How Do G2 Users Rate Lightdash?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.1/10 (Category avg: 8.4/10)
  • Reports Interface: 9.4/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Lightdash?

  • Seller: Lightdash
  • HQ Location: San Francisco, US
  • Twitter: @lightdash_devs
    2,416 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    33 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 58% Medium, 21% Small

What Are Recent G2 Reviews of Lightdash?

Deepnote

Deepnote is a data workspace where agents and humans work together. It's designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind. Deepnote gives anyone working with data superpowers. It unifies your data workflow through an integrated semantic layer, preparing your data for advanced AI applications. You can also leverage our AI data copilot to chat with your data, create charts, write code, or turn your AI notebooks into fully-fledged data dashboards or apps. Combine data, SQL or Python code, and visualizations side-by-side on a flexible canvas - enhanced with cutting-edge AI reasoning models. 🤖 Analyze with AI • Generate code and visualizations by describing your goal. • Auto-write, run, and debug code with AI. • Move faster with context-aware AI suggestions. 🔗 Unify • Connect to 60+ data sources like BigQuery, Snowflake, and PostgreSQL. • Combine Python and SQL in one notebook. • Build reusable ETL, analytics, and metric modules. • Create a semantic layer with shared definitions and trusted metrics. ⚖️ Scale • Instantly boost compute power, more included than Colab. • Schedule jobs and get notified with fresh results. • Organize work in projects and folders for team clarity. • Manage workflows via REST API. 🚀 Launch • Turn notebooks into dashboards or data apps, natively or with Streamlit. • Let users explore data with interactive inputs. • Share secure, live apps in one click.

Average Rating: 4.5/5.0

Total Reviews: 383

How Do G2 Users Rate Deepnote?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.7/10 (Category avg: 8.4/10)
  • Reports Interface: 8.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Deepnote?

  • Seller: Deepnote
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco , US
  • Twitter: @DeepnoteHQ
    5,239 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    21 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Student, Data Analyst
  • Top Industries: Computer Software, Higher Education
  • Company Size: 67% Small, 25% Medium

What Do G2 Reviewers Say About Deepnote?

AI-generated summary from verified user reviews

Pros
  • Users find Deepnote's ease of use enhances collaboration and simplifies data analysis with its intuitive interface.
  • Users value the seamless collaboration capabilities of Deepnote, enhancing teamwork and efficiency in data projects.
  • Users value the real-time collaboration capabilities of Deepnote, enhancing teamwork and efficiency in analytics processes.
  • Users value the easy integrations in Deepnote, enabling faster development and seamless data management across platforms.
  • Users find data management effortless with Deepnote, benefiting from easy integrations and seamless analysis capabilities.
Cons
  • Users notice slow performance when handling large datasets, affecting analysis speed and user experience.
  • Users find the limited features of Deepnote restricts their ability to fully utilize its potential.
  • Users experience data management issues with slow performance and an unintuitive file management system, affecting usability.
  • Users experience lagging performance with Deepnote, particularly when processing large datasets, affecting efficiency during critical tasks.
  • Users face slow loading times in Deepnote, particularly with larger projects, which can hinder productivity and frustrate experiences.

What Are Recent G2 Reviews of Deepnote?

What Are G2 Users Discussing About Deepnote?

Luzmo

Customers choose Luzmo to give their users clean, intuitive analytics directly inside their product, without forcing them into a separate BI tool. Reviews highlight how fast teams can move from raw data to fully branded dashboards, how easy it is for non‑technical users to explore and customize their own views, and how seamless the embedding experience feels. Many users call out Luzmo’s customer‑first support and dedicated CSMs as a key reason they can roll out new analytics experiences quickly and keep improving them over time.

Average Rating: 4.6/5.0

Total Reviews: 70

How Do G2 Users Rate Luzmo?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.2/10 (Category avg: 8.4/10)
  • Reports Interface: 8.8/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.1/10 (Category avg: 8.5/10)

Who Is the Company Behind Luzmo?

  • Seller: Luzmo NV
  • Year Founded: 2015
  • HQ Location: Brooklyn, US
  • Twitter: @luzmo_official
    895 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    51 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 59% Small, 32% Medium

What Do G2 Reviewers Say About Luzmo?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Luzmo, enabling quick dashboard creation without a steep learning curve.
  • Users value Luzmo's embedding features, enabling fast, integrated analytics that enhance user experience and engagement.
  • Users value the customization capabilities of Luzmo, enabling tailored solutions and efficient management of diverse tenant applications.
  • Users commend Luzmo for its intuitive interface and rapid deployment, significantly enhancing analytics and user engagement.
  • Users find the setup process of Luzmo incredibly easy, facilitating quick deployment and enhancing overall experience.
Cons
  • Users find Luzmo's complexity burdensome, with challenges in setup, performance, and dashboard editing capabilities.
  • Users face limited options for complex queries and chart configurations in Luzmo, impacting their data management experience.
  • Users face performance issues with large datasets, experiencing lags and sync problems that hinder productivity.
  • Users experience table limitations in Luzmo, hindering complex queries and chart functionalities in their data management.
  • Users face performance and sync issues with larger datasets, impacting efficiency and usability within Luzmo.

What Are Recent G2 Reviews of Luzmo?

What Are G2 Users Discussing About Luzmo?

BlazeSQL

It is an AI-Native Self-Service BI Platform, centered around an AI Data Analyst chatbot that queries, analyzes and visualizes data from your SQL Database. It enables true self-service analytics by really understanding and learning about your company and Database, so it can reliably answer everyone's questions on demand. Unlike most tools that claim to do the same, BlazeSQL is not only reliable, but it provides intuitive tooling to provide the AI with context, explains its work to non-technical users so it's not a black box, and provides transparency for admins so they have visibility of all chats and can easily monitor accuracy. It helps non-technical people get insights independently, and technical people work faster. Results from the chat can effortlessly be added to dashboards, exported, saved for tracking, or shared. While Blaze can certainly return specific data or graphs on demand (ex. campaign performance), it can fully apply its intelligence and business understanding by taking a user's high level goals (ex. increasing Return on Ad spend) and autonomously conducting a comprehensive analysis to surface the right insights and make actionable suggestions. That way, it fully leverage's the capabilities of the world's most powerful AI models as they continue to become more and more capable. Advanced capabilities include autonomous agent monitoring & reporting, a slack integration, web research, and dynamic AI integrations with any API. Enterprise security features include Role Based Access Control, a desktop client with an "Offline-mode" that only sends metadata to the cloud but leaves query results completely local, SSO, 2FA, and strong encryption in transit and at-rest. Notable customers such as Yamaha have had success using BlazeSQL, and it continues to be successfully adopted by SMEs and Large enterprises alike. Various case studies and testimonials note results like a data team saving 1.5 days a week, data bottlenecks being eliminated so that business stakeholders are able to make data a daily part of their work and thinking, and teams starting to think more strategically and critically with their analysis to deliver real business impact and growth.

Average Rating: 4.4/5.0

Total Reviews: 134

How Do G2 Users Rate BlazeSQL?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.8/10 (Category avg: 8.4/10)
  • Reports Interface: 8.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind BlazeSQL?

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 60% Small, 28% Medium

What Do G2 Reviewers Say About BlazeSQL?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the efficient data analytics capabilities of BlazeSQL, enabling quick insights and empowering self-service analysis.
  • Users appreciate the ease of use of BlazeSQL, enabling efficient data analysis and empowering non-technical users.
  • Users appreciate the efficiency and ease of use BlazeSQL offers for data analysis and self-service capabilities.
  • Users value the flexibility of BlazeSQL, enabling quick adjustments and diverse analytical capabilities through natural language queries.
  • Users value the easy integrations of BlazeSQL, enabling efficient data analysis and empowering non-technical users to explore insights.

What Are Recent G2 Reviews of BlazeSQL?

Omni Analytics

Omni is a business intelligence and embedded analytics platform that empowers everyone—regardless of technical ability—to easily analyze data using SQL, spreadsheets, AI, or point-and-click interfaces. It is built on a semantic layer that ensures every insight is accurate and dependable. Beyond powering internal analytics, Omni makes it easy for businesses to offer highly customizable in-product analytics to their customers. We build our product fast and in the open, with new features releasing every week. You can follow along by watching our public engineering demos at: omni.co/demos To learn more about how companies like BuzzFeed use Omni, check out: omni.co/customer-case-studies

Average Rating: 4.8/5.0

Total Reviews: 65

How Do G2 Users Rate Omni Analytics?

  • Has the product been a good partner in doing business?: 9.9/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.9/10 (Category avg: 8.4/10)
  • Reports Interface: 9.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 9.1/10 (Category avg: 8.5/10)

Who Is the Company Behind Omni Analytics?

  • Seller: Omni Analytics, Inc
  • Company Website:
  • Year Founded: 2022
  • HQ Location: San Francisco, CA
  • Twitter: @omni
    4,282 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    920 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 42% Small, 42% Medium

What Do G2 Reviewers Say About Omni Analytics?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in Omni Analytics, benefiting from seamless integrations and flexible BI features.
  • Users appreciate the helpful customer support at Omni Analytics, always responsive and ready to assist when needed.
  • Users praise the easy integrations of Omni Analytics, effortlessly connecting with their modern data stack for efficiency.
  • Users admire the innovative AI features of Omni Analytics, enhancing efficiency and user experience significantly.
  • Users value the ease of creating interactive dashboards with Omni Analytics, enhancing both user experience and engagement.
Cons
  • Users note the missing features in Omni Analytics compared to established tools, indicating room for improvement.
  • Users note a steep learning curve due to delayed documentation and evolving features, leading to confusion while adapting.
  • Users note the limited features of Omni Analytics, which is still evolving and lacks parity with established tools.
  • Users highlight the need for improved complex data modeling features, as navigation and stability can be challenging.
  • Users find the difficult setup of topics challenging, affecting overall ease of use and customization in Omni Analytics.

What Are Recent G2 Reviews of Omni Analytics?

Knowi

Knowi is the agentic analytics platform for teams whose data does not sit in one warehouse. Dashboards, AI agents, embedded analytics, and apps run in one place, on your data where it already lives, without any data movement. Knowi’s AI agents work inside the data layer, not as a chatbot on top of finished dashboards. They connect directly to schemas and the query engine, allowing teams to build queries, widgets, and dashboards from plain-English questions. What teams use Knowi for: 1. Unified data without ETL: Connect to any datasource- including SQL databases, MongoDB, Elasticsearch, Snowflake, Salesforce, and REST APIs, and join across them in a single query. 2. BI and dashboards: Build using a prompt or the visual builder, then share, schedule, and create alerts. 3. AI agents: Ask questions in plain English against a governed semantic layer controlled by the data team. 4. Embedded analytics: Add multi-tenant dashboards and widgets to your product with row-level access control. 5. Apps: Build operational apps on governed data where teams can see what is happening, understand why, and take action from one place. Knowi runs its own AI by default, with OpenAI and Claude available as optional integrations. It can be deployed in Knowi Cloud, your own VPC, on-premises, or in an air-gapped environment. Customers include Verizon, Telstra, Everbridge, and NJM Insurance.

Average Rating: 4.9/5.0

Total Reviews: 28

How Do G2 Users Rate Knowi?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 9.2/10)
  • Steps to Answer: 9.3/10 (Category avg: 8.4/10)
  • Reports Interface: 9.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 9.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Knowi?

  • Seller: Knowi
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Oakland, California
  • Twitter: @knowico
    2,636 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    23 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 46% Small, 39% Medium

What Do G2 Reviewers Say About Knowi?

AI-generated summary from verified user reviews

Pros
  • Users value the exceptional customer support at Knowi, appreciating their responsiveness and tailored guidance throughout the onboarding process.
  • Users commend Knowi for its exceptional onboarding and proactive support, enhancing business growth and adapting to unique needs.
  • Users highlight Knowi's exceptional AI capabilities that enhance data analytics and reporting, ensuring a tailored experience.
  • Users appreciate the automation capabilities of Knowi, greatly simplifying data management and enhancing reporting efficiency.
  • Users appreciate the intuitive dashboarding features of Knowi, which simplify data management and save valuable time.
Cons
  • Users find the learning curve steep for Knowi, making initial setup challenging for advanced features and API connections.
  • Users feel there is a lack of guidance for API connections with popular platforms, complicating initial setup.
  • Users find a lack of tutorials for API connections, leading to a challenging setup experience with Knowi.

What Are Recent G2 Reviews of Knowi?

datapine

datapine is a business intelligence & dashboarding platform that is focused on self-service, but also offers advanced analytics features such as predictive analytics or intelligent data alerts based on artificial intelligence and machine learning. With a few clicks, datapine integrates dozens of data sources such as databases, flat files, marketing analytics, social media data, CRM, and ERP data as well as helpdesk data. Thanks to an intuitive user interface, users of all skill levels can visualize and make sense of complex data by asking important questions and receiving answers immediately. The core of the product are dynamic, interactive business dashboards, that help to share insights within the organization effectively. datapine enables managers to data scientists to explore, visualize, analyze and report data in one central analytics platform and empowers modern, KPI driven businesses to grow further. datapine is a RIB Software GmbH solution.

Average Rating: 4.6/5.0

Total Reviews: 26

How Do G2 Users Rate datapine?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.2/10)
  • Steps to Answer: 10.0/10 (Category avg: 8.4/10)
  • Reports Interface: 10.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind datapine?

  • Seller: RIB Software
  • Year Founded: 1961
  • HQ Location: Stuttgart, DE
  • Twitter: @RIB_Global
    1,214 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,426 employees on LinkedIn®
  • Ownership: ETR:RIB

Who Uses This Product?

  • Company Size: 50% Medium, 42% Small

What Are Recent G2 Reviews of datapine?

Hurree

Hurree is an AI-powered platform that consolidates all your reporting data into a single, easy-to-use command centre. It connects with over 70 popular tools, giving you a single, reliable view of performance across your business. With fully customizable dashboards, Hurree makes it simple for any team to track KPIs, monitor trends, and measure success with no technical skills required. At the heart of the platform is Riva, Hurree's built-in AI assistant. Riva doesn't just show you the numbers; it explains them. From instant summaries to predictive insights and actionable recommendations, Riva helps you understand what’s happening and what to do next. Hurree is built for teams who want better visibility, clearer reporting, and data they can actually use, without the complexity.

Average Rating: 4.8/5.0

Total Reviews: 74

How Do G2 Users Rate Hurree?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.9/10 (Category avg: 8.4/10)
  • Reports Interface: 9.5/10 (Category avg: 8.8/10)
  • Calculated Fields: 7.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Hurree?

  • Seller: Hurree
  • Year Founded: 2018
  • HQ Location: Belfast, Antrim
  • Twitter: @Hurree_me
    896 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    52 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Marketing and Advertising
  • Company Size: 58% Small, 42% Medium

What Do G2 Reviewers Say About Hurree?

AI-generated summary from verified user reviews

Pros
  • Users admire the ease of use of Hurree, simplifying client understanding of lead sources and competition effortlessly.
  • Users value the intuitive interface and customizable dashboards of Hurree for effective data visualization and tracking.
  • Users praise Hurree for its intuitive data visualization that simplifies understanding and enhances team productivity.
  • Users appreciate the efficiency of Hurree, making it easy to understand lead sources and improve client meetings.
  • Users value Hurree's powerful data transformation, enabling insightful analysis and informed decision-making through an intuitive interface.
Cons
  • The initial learning curve can be overwhelming, but support helps users adapt to Hurree's features over time.
  • Users experience limited customization options in Hurree, wishing for more flexibility in tailoring their reports and dashboards.
  • Users find the limited reporting features of Hurree restrict their ability to perform deeper analyses effectively.
  • Users express disappointment over the lack of AI integration, though improvements are reportedly in progress.
  • Users find learning difficulties with data ranges and integration, impacting their overall experience with Hurree.

What Are Recent G2 Reviews of Hurree?

Cube

Cube is the agentic analytics platform — built on a semantic layer. Cube is the AI-native generation of business intelligence. It's one platform for two use cases: internal BI, where data teams and business users analyze their own company's data, and embedded analytics, where software companies ship analytics inside their own products. The same governed semantic layer powers both. What makes AI answers trustworthy in production is the semantic layer underneath them. Cube was built around the semantic layer from day one rather than retrofitting one onto a dashboard- or notebook-first tool. The data team's governed metric definitions stay intact while AI constructs ad-hoc calculations on top of them — so you get governance and flexibility at the same time, not one at the expense of the other. That's why teams like Brex chose Cube to power AI-driven analytics at production scale. With Cube, data teams can: Model metrics and business definitions once, in a SQL-first semantic layer, and serve them consistently to every downstream consumer — AI agents, BI, spreadsheets, and embedded apps. Let business users ask questions in natural language through Analytics Chat, with answers grounded in the governed model instead of guessed from raw tables. Bring analytics to where people already work — Slack, and any MCP-compatible agent like Claude or ChatGPT via the Cube MCP server. Embed analytics in customer-facing products with multi-tenancy, row-level security, and query performance under load — choosing from a chat API, drop-in iframes, embedded creator mode, or data APIs. Apply software engineering best practices to analytics: version control with Git, CI/CD, isolated environments, and pre-aggregation caching for fast queries and lower warehouse spend. Cube Core, the open-source semantic layer at its foundation, has years of production use across a large developer community — battle-tested infrastructure that commercial-only tools can't match. Cube sits on top of your cloud data warehouse (Snowflake, BigQuery, Redshift, Databricks); it doesn't replace it.

Average Rating: 4.6/5.0

Total Reviews: 27

How Do G2 Users Rate Cube?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.9/10 (Category avg: 8.4/10)
  • Reports Interface: 9.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Cube?

  • Seller: Cube
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco, CA
  • Twitter: @the_cube_dev
    2,215 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    53 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 52% Small, 41% Medium

What Do G2 Reviewers Say About Cube?

AI-generated summary from verified user reviews

Pros
  • Users find Cube's ease of use remarkable, simplifying development and maintenance for small teams without DevOps support.
  • Users value the customization options in Cube, enhancing flexibility for embedded analytics in applications.
  • Users value the powerful BI capabilities of Cube, facilitating complex metrics and seamless data access across platforms.
  • Users appreciate the fast and proactive customer support of Cube, enhancing their overall experience significantly.
  • Users value the flexibility of CubeJS, enabling effortless integration and customization for diverse data applications.
Cons
  • Users find Cube's features lacking completeness, particularly with integration, metrics creation, and data visualization capabilities.
  • Users report experiencing significant bugs and confusing documentation that complicate using Cube effectively and reliably.
  • Users find data integration challenging due to issues with BI tools and complicated pre-aggregation management.
  • Users find Cube's features limited, desiring improved documentation, SDK support, and enhanced analytical capabilities.
  • Users often encounter software bugs that complicate functionality and make integration challenging with Cube.

What Are Recent G2 Reviews of Cube?

Intellicus

Intellicus helps organizations put their data to work and helps business leaders gain actionable insights. Driven by AI, auto ML and sophisticated machine learning models, Intellicus helps CXOs use data to accelerate their growth. Intellicus Technologies tailor solutions based on your needs, instead of retrofitting them to ‘customizable’ one-size-fits-all solutions. Intellicus offers end-to-end data integration through ETL, integrating sophisticated databases, ERP solutions, legacy systems, telephony, ACDs till flat file systems into a data warehouse that becomes the single source of truth. Intellicus’ self-serve reporting, OLAP capabilities and interactive analytics dashboards allow users to drill down & drill up, zoom out or slice-and-dice data to create a 360-degree view of the business. Auto-ML based what-if predictions deliver power and agility to small and large enterprises so that they can make business critical decisions based on science. Ready to take the next step in your digital transformation? Write to marketing@intellicus.com today

Average Rating: 4.6/5.0

Total Reviews: 119

How Do G2 Users Rate Intellicus?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.3/10 (Category avg: 8.4/10)
  • Reports Interface: 8.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Intellicus?

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 59% Medium, 23% Large

What Do G2 Reviewers Say About Intellicus?

AI-generated summary from verified user reviews

Pros
  • Users love the live dashboards of Intellicus for their fresh metrics and effective daily check-ins.
  • Users value the ease of use of Intellicus, enjoying its user-friendly interface and seamless data handling.
  • Users value the high-speed OLAP feature of Intellicus for its insightful data analytics and easy setup.
  • Users value the dashboard customization in Intellicus, enhancing their ability to tailor reports and metrics efficiently.
  • Users value the user-friendly interface of Intellicus, enabling easy dashboard creation and report customization without IT support.
Cons
  • Users find difficult learning curve in Intellicus, especially those without a coding background struggling to adapt.
  • Users find Intellicus to have a steep learning curve, often feeling overwhelmed by its complex interface and setup.
  • Users note that complex usability can hinder new users, making tasks challenging compared to tools like Power BI or Tableau.
  • Users find the learning difficulty with Intellicus challenging, particularly for those without a coding background.
  • Users find the complexity of advanced features challenging, requiring expertise for effective report and workflow creation.

What Are Recent G2 Reviews of Intellicus?

What Are G2 Users Discussing About Intellicus?

Teradata Autonomous Knowledge Platform

Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. Learn more at Teradata.com.

Average Rating: 4.3/5.0

Total Reviews: 354

How Do G2 Users Rate Teradata Autonomous Knowledge Platform?

  • Has the product been a good partner in doing business?: 8.2/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.1/10 (Category avg: 8.4/10)
  • Reports Interface: 7.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Teradata Autonomous Knowledge Platform?

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 69% Large, 22% Medium

What Do G2 Reviewers Say About Teradata Autonomous Knowledge Platform?

AI-generated summary from verified user reviews

Pros
  • Users highlight the extreme performance of Teradata Autonomous Knowledge Platform, emphasizing its speed in processing large data volumes.
  • Users value the high performance and scalability of Teradata for handling complex queries and data integration.
  • Users value the scalability of Teradata Autonomous Knowledge Platform, seamlessly integrating and managing vast data resources efficiently.
  • Users commend the extreme performance of Teradata, highlighting its speed in processing large datasets seamlessly.
  • Users value the fast processing of large datasets in Teradata, appreciating its stability and integration capabilities.
Cons
  • Users identify a steep learning curve for Teradata Autonomous Knowledge Platform, hindering new user adaptation and productivity.
  • Users find the steep learning curve of Teradata Autonomous Knowledge Platform challenging, especially for those less technically inclined.
  • Users find the complexity of the Teradata platform challenging, especially for non-technical users and new adopters.
  • Users struggle with the cost transparency of Teradata Autonomous Knowledge Platform, needing close management to avoid issues.
  • Users express concerns about the high cost of the Teradata Autonomous Knowledge Platform, highlighting affordability issues.

What Are Recent G2 Reviews of Teradata Autonomous Knowledge Platform?

What Are G2 Users Discussing About Teradata Autonomous Knowledge Platform?

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