Best Analytics Platforms - Page 3

How Many Analytics Platforms Products Does G2 Track?

Total Products under this Category: 607

Category Stats (Oct 2026)

  • Average Rating: 4.52/5 (↑0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: inzicht (+3.71%) - Among all products in this category, inzicht recorded the largest rating increase compared to last month

Last updated: October 13, 2026

How Does G2 Rank Analytics Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 29,800+ Authentic Reviews
  • 607+ 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, Alteryx, SAS Viya, Domo, Sigma, and Looker.

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=alteryx&focus%5B%5D=sas-sas-viya&focus%5B%5D=domo&focus%5B%5D=sigma-computing-sigma&focus%5B%5D=looker)

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?

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?

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?

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SAS Enterprise Guide

SAS Enterprise Guide is a Windows-based client application that provides a user-friendly, point-and-click interface to the powerful analytics capabilities of SAS software. Designed to cater to both novice and experienced users, it facilitates data access, management, analysis, and reporting without the need for extensive programming knowledge. By integrating a wide array of analytical tasks with an intuitive graphical interface, SAS Enterprise Guide empowers users to efficiently conduct complex analyses and share results across their organization. Key Features and Functionality: - Intuitive Interface and Wizards: Offers guided access to SAS capabilities, from basic reporting to advanced analyses, through flexible wizards and an intuitive process flow diagram facility. - Comprehensive Analytical Tasks: Includes over 100 prebuilt tasks for descriptive statistics, predictive modeling, regression analysis, and more, enabling users to perform complex analyses without writing code. - Data Management: Provides a powerful graphical query builder for accessing and manipulating various data types, including SAS datasets and native Windows data types, without requiring SQL expertise. - OLAP Access and Visualization: Supports dynamic slicing, drilling, and pivoting of data for exploration, with integration capabilities for SAS OLAP Server and other third-party vendors supporting OLE DB for OLAP. - Result Distribution and Sharing: Facilitates the distribution of results through multiple channels, including SAS BI report/content repository, Microsoft Office documents, and email, ensuring seamless sharing and collaboration. - High-Performance Computing and Grid Enablement: Automatically detects grid environments for efficient processing, analyzes SAS programs to optimize performance, and enables parallel execution of tasks on the same server. Primary Value and User Solutions: SAS Enterprise Guide addresses the need for a self-service analytics environment that empowers business analysts and other users to perform sophisticated data analyses without relying heavily on IT departments. By providing guided access to data integration, preparation, analytics, and reporting, it enables users to quickly access data, conduct analyses, and distribute results, thereby accelerating decision-making processes. The integration with SAS Viya further enhances its capabilities, allowing users to leverage modern, cloud-based platforms for scalable and efficient analytics. This comprehensive toolset ultimately helps organizations harness their data effectively, leading to more informed business decisions and improved operational efficiency.

Average Rating: 4.3/5.0

Total Reviews: 112

How Do G2 Users Rate SAS Enterprise Guide?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.9/10 (Category avg: 8.4/10)
  • Reports Interface: 8.4/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.1/10 (Category avg: 8.5/10)

Who Is the Company Behind SAS Enterprise Guide?

  • Seller: SAS Institute
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

  • Top Industries: Banking, Hospital & Health Care
  • Company Size: 57% Large, 26% Medium

What Do G2 Reviewers Say About SAS Enterprise Guide?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of SAS Enterprise Guide, making it accessible for beginners and non-technical users.
  • Users appreciate the flexible interface of SAS Enterprise Guide, combining coding and GUI features for enhanced usability.
  • Users laud SAS Enterprise Guide for its comprehensive data analysis capabilities, enhancing real-time decision-making efficiency.
  • Users value the effective data visualization in SAS Enterprise Guide, enhancing analytics and decision-making processes.
  • Users find the ease of learning in SAS Enterprise Guide exceptional, suitable for both beginners and experts alike.
Cons
  • Users experience slow performance in SAS Enterprise Guide, facing difficulties in data handling and debugging.
  • Users find the complex usage of SAS Enterprise Guide challenging, especially first-time navigation through the GUI.
  • Users find the clunky interface challenging, struggling with navigation and complex options within SAS Enterprise Guide.
  • Users report bugs and slowness, making data manipulation challenging and frustrating in SAS Enterprise Guide.
  • Users face integration issues that hinder connectivity with certain systems, impacting overall usability and functionality.

What Are Recent G2 Reviews of SAS Enterprise Guide?

What Are G2 Users Discussing About SAS Enterprise Guide?

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 dashboard customization in Intellicus, enhancing their ability to tailor reports and metrics efficiently.
  • Users value the high-speed OLAP feature of Intellicus for its insightful data analytics and easy setup.
  • Users value the advanced data visualization capabilities of Intellicus, enhancing their business intelligence and decision-making efforts.
Cons
  • Users note that complex usability can hinder new users, making tasks challenging compared to tools like Power BI or Tableau.
  • 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 find the complexity of advanced features challenging, requiring expertise for effective report and workflow creation.
  • Users find the learning difficulty with Intellicus challenging, particularly for those without a coding background.

What Are Recent G2 Reviews of Intellicus?

What Are G2 Users Discussing About Intellicus?

Toucan

Toucan is an AI-embedded analytics platform designed to assist independent software vendors (ISVs) and SaaS companies in integrating advanced analytics features directly into their products, eliminating the need for building these capabilities from the ground up. This platform is tailored specifically for customer-facing applications, meaning that the end users are the clients of these companies rather than internal analysts. By enabling product and operations teams to configure and deploy analytics features independently, Toucan streamlines the development process and reduces reliance on data engineering resources. The target audience for Toucan primarily includes ISVs and SaaS companies across various industries, such as fintech, HR tech, and marketing technology. These organizations often seek to enhance their product offerings with sophisticated analytics capabilities that provide value to their users. With Toucan, product teams can quickly implement features that allow end users to interact with data in meaningful ways. This is particularly beneficial for companies looking to differentiate themselves in competitive markets by offering robust analytics without the lengthy development cycles typically associated with such features. Toucan's key capabilities include conversational AI analytics, which empowers end users to pose questions in natural language and receive instant data visualizations. This feature is anchored in a governed semantic layer, ensuring that the insights provided are consistent and reliable. Additionally, the platform offers automatic dashboard generation through AI, allowing users to customize layouts, colors, and metrics without requiring technical expertise. The white-label, multi-tenant embedding options ensure that analytics seamlessly integrate into existing products, creating a native experience for users. Security and compliance are paramount in today's data-driven landscape, and Toucan addresses these concerns with row-level security and granular permissions. This ensures that each end user only accesses their specific data, making it suitable for regulated industries where data privacy is critical. Furthermore, Toucan supports connections to modern data infrastructures, such as PostgreSQL, MySQL, and AWS Redshift, and offers both SaaS and self-hosted deployment options to meet various organizational needs. The platform's no-code builder is a standout feature, enabling product and operations teams to create, edit, and publish dashboards without any coding knowledge. This capability significantly reduces dashboard development time—by up to two-thirds compared to traditional in-house builds—allowing ISVs to launch reporting modules in days instead of months. By embedding analytics as a premium feature, organizations can also create new revenue streams, enhancing their overall product value while minimizing additional development overhead. With over 350 clients already leveraging its capabilities, Toucan is positioned as a powerful solution for companies looking to enhance their analytics offerings.

Average Rating: 4.7/5.0

Total Reviews: 179

How Do G2 Users Rate Toucan?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.5/10 (Category avg: 8.4/10)
  • Reports Interface: 8.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.5/10 (Category avg: 8.5/10)

Who Is the Company Behind Toucan?

  • Seller: Toucan Toco
  • Year Founded: 2015
  • HQ Location: Boston, Massachusetts
  • Twitter: @Toucan_Toco
    2,402 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    74 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst
  • Top Industries: Computer Software, Banking
  • Company Size: 43% Small, 30% Medium

What Do G2 Reviewers Say About Toucan?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use in Toucan, appreciating its intuitive setup and seamless integration for daily tasks.
  • Users appreciate the easy integrations with existing tech ecosystems, enhancing their data accessibility and usability.
  • Users love the intuitive data visualization tools in Toucan, making analytics accessible for all skill levels.
  • Users value the flexible integrations of Toucan, enabling seamless connections to various data sources for dynamic dashboards.
  • Users appreciate the no-code dashboard creation feature of Toucan, making data visualization accessible and efficient.
Cons
  • Users find the navigation complex in Toucan, which can hinder the experience for new users.
  • Users find the complex usage of Toucan challenging, especially for new users navigating the interface independently.
  • Users find the learning curve steep with Toucan, struggling to navigate its complex interface effectively.
  • Users note the limited customization options in Toucan, which restricts control over data presentation but simplifies visualizations.
  • Users report that bugs in Toucan can lead to higher maintenance costs and require additional learning for technical development.

What Are Recent G2 Reviews of Toucan?

What Are G2 Users Discussing About Toucan?

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?

ThoughtSpot

ThoughtSpot is the Agentic Analytics Platform company for the enterprise. With natural language and AI, ThoughtSpot empowers everyone in an organization to ask data questions, get answers, and take action. Code-first for data teams and code-free for business users, ThoughtSpot is intuitive enough for anyone to use, yet built to handle large, complex cloud data at scale. Customers like Coca-Cola, Hilton Worldwide, and Capital One are unlocking the full potential of their data with ThoughtSpot.

Average Rating: 4.4/5.0

Total Reviews: 331

How Do G2 Users Rate ThoughtSpot?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.6/10 (Category avg: 8.4/10)
  • Reports Interface: 8.6/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind ThoughtSpot?

  • Seller: ThoughtSpot
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Mountain View, CA
  • Twitter: @thoughtspot
    10,975 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,781 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Large, 43% Medium

What Do G2 Reviewers Say About ThoughtSpot?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of ThoughtSpot, finding it simple to create insights and build visuals.
  • Users value the real-time insights from ThoughtSpot, enhancing organizational growth through accurate and actionable data analysis.
  • Users value ThoughtSpot for its powerful analytics capabilities that enhance data insights and engagement tracking.
  • Users praise the intuitive interface of ThoughtSpot, enabling effortless data exploration and insights for everyone.
  • Users appreciate the excellent data visualization capabilities of ThoughtSpot, making insights easy to understand and validate.
Cons
  • Users acknowledge a steep learning curve for new features, particularly for those unfamiliar with analytics or data visualization.
  • Users note the missing features in ThoughtSpot, such as limited reusability and underwhelming visualization capabilities.
  • Users find the complexity of ThoughtSpot frustrating, with formulas failing and a lack of intuitive guidance.
  • Users face a learning difficulty with ThoughtSpot, finding it non-intuitive and lacking clear guidance for effective use.
  • Users find the limited customization options in ThoughtSpot restrictive, impacting their ability to tailor visualizations effectively.

What Are Recent G2 Reviews of ThoughtSpot?

What Are G2 Users Discussing About ThoughtSpot?

TARGIT Decision Suite

TARGIT brings expertise to key verticals to help their customers make data-driven decisions. They drive lasting value with business intelligence (BI) and analytics solutions that support your unique goals and the processes that power your day-to-day operations. Experience love at first sight with TARGIT Decision Suite, their all-in-one business intelligence (BI) and analytics platform that's intuitive, versatile, and accessible for every employee. TARGIT Decision Suite helps companies integrate, visualize, and share data better and faster than ever before. Their solution combines the control of a centralized BI solution with the flexibility of a decentralized solution, with robust security and dependability. Plus, it easily integrates with your existing systems and continually adapts to your needs, even as your organization grows. Recognized as a Global Leader in Vendor Credibility by Dresner three years in a row and Leader in BI Excellence by BARC eight years in a row, TARGIT prides itself on supporting our customers through continuous innovation, insightful recommendations, and a people-first business model.

Average Rating: 4.2/5.0

Total Reviews: 17

How Do G2 Users Rate TARGIT Decision Suite?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.1/10 (Category avg: 8.4/10)
  • Reports Interface: 8.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 6.8/10 (Category avg: 8.5/10)

Who Is the Company Behind TARGIT Decision Suite?

  • Seller: Targit
  • Year Founded: 1986
  • HQ Location: Aalborg, Denmark
  • LinkedIn® Page: www.linkedin.com
    105 employees on LinkedIn®
  • Phone: 813-933-4600

Who Uses This Product?

  • Company Size: 53% Medium, 29% Large

What Are Recent G2 Reviews of TARGIT Decision Suite?

Savant Labs

Savant is an AI workflow automation platform built for enterprise finance, tax, and accounting teams. It turns messy, manual data work like extraction, preparation, reconciliation, and reporting into centrally governed, audit-ready workflows, driving efficiency without sacrificing accuracy, control, or compliance. Savant integrates with your preferred LLM, including Claude, Copilot, ChatGPT, and private LLMs, so you control model choice, data residency, and cost. Ask in plain language for the workflow you want to build, or simply say "run this month's reconciliation," and Savant turns that instruction into a repeatable, governed, auditable workflow. Trusted by Fortune 500 enterprises, Savant catches errors before they're filed, ensures audit readiness without the scramble, and gives finance teams their time back. WHAT SETS SAVANT APART Unlike general-purpose AI tools or legacy analytics platforms, Savant was built specifically for finance workflows where 99% accuracy isn't good enough — because 1% errors at scale become audit findings, restatements, and compliance exposure. Three things make Savant different - Deterministic, not probabilistic: Savant uses rule-based AI agents, not LLM guesses. Consistent inputs produce consistent outputs. - Governance and auditability are built in, not bolted on: Audit trail, data lineage, SOX controls, role-based access, and evidence packs are standard, not add-ons. - Handles the data other tools can't: Native processing for PDFs, scanned documents, and invoices — the unstructured data that breaks legacy workflows. KEY FEATURES - AI-powered workflow automation: Automate any workflow end to end — financial reconciliation, month-end close, tax provisioning, accruals, and more. Works with structured and unstructured data, including PDFs, scanned documents, and ERP extracts. - Reproducible results: AI agents follow step-by-step logic with validation at each stage. Same inputs produce the same outputs, every time — no black boxes, no probabilistic guesses. - Built-in audit trail, data lineage, and evidence packs: Every workflow step is logged automatically. Complete data lineage from source to output. No manual documentation, no reconstructing steps across email chains. - SOX compliance by design: Segregation of duties, version control, approval management, and user activity history are built in from day one. - Human-in-the-loop exception handling: Savant proactively flags exceptions for human review, allowing analysts to catch errors before they reach a filing. The AI learns from human judgments over time. - 500+ enterprise connectors: Connect to your existing ERPs, CRMs, BI platforms, file systems, email, and more out of the box. - Enterprise-grade security: SOC 2 Type II, SOC 1 Type II, ISO 27001. SSO/SAML, role-based access control, private cloud and VPC deployment available. USE CASES - Month-end and year-end close automation - Financial reconciliations and tie-outs - Tax provision preparation - State apportionment calculations - Sales and use tax reconciliation - Data extraction from PDFs, invoices, and scanned documents - ERP data consolidation across multiple systems - Intercompany accounting and multi-entity reporting - Audit evidence package preparation - Recurring reporting and dashboard publishing

Average Rating: 4.7/5.0

Total Reviews: 51

How Do G2 Users Rate Savant Labs?

  • Has the product been a good partner in doing business?: 9.8/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.8/10 (Category avg: 8.4/10)
  • Reports Interface: 8.4/10 (Category avg: 8.8/10)
  • Calculated Fields: 9.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Savant Labs?

  • Seller: Savant Labs
  • Company Website:
  • Year Founded: 2021
  • HQ Location: San Francisco, California
  • LinkedIn® Page: www.linkedin.com
    66 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Logistics and Supply Chain
  • Company Size: 42% Large, 40% Medium

What Do G2 Reviewers Say About Savant Labs?

AI-generated summary from verified user reviews

Pros
  • Users commend the ease of use in Savant Labs, enabling seamless analytics without requiring extensive knowledge.
  • Users appreciate the friendly customer support from Savant Labs, which provides timely assistance for any issues encountered.
  • Users praise the user-friendly interface of Savant Labs, making complex data analytics accessible to everyone.
  • Users enjoy the easy integration capabilities of Savant Labs, simplifying workflows and enhancing data connectivity effortlessly.
  • Users appreciate the scalability of Savant Labs, enjoying its straightforward integration and user-friendly interface.
Cons
  • Users note a steep learning curve with Savant Labs, often struggling with data source updates and tool integration.
  • Users experience a steep learning curve with Savant Labs, making it challenging to master effectively.
  • Users often face integration issues, struggling with data updates and lacking clear instructions for linking tools effectively.
  • Users face access issues with Savant Labs, struggling to log in and navigate complex features and tools.
  • Users face data management challenges, struggling with updating sources and lack of clear guidance in Savant Labs.

What Are Recent G2 Reviews of Savant Labs?

Qrvey

Qrvey is an embedded analytics solution specializing in multi-tenant analytics for SaaS applications. Qrvey’s goal for product teams is to empower you to build less software and deliver more value. Qrvey is the only embedded analytics solution that includes an analytics layer to connect your data warehouse to your front-end analytics. Qrvey’s approach is different. By including a native data lake, you can scale personalized analytics that your customers will love. All while giving your development team the tools to ship faster and build less.

Average Rating: 4.4/5.0

Total Reviews: 28

How Do G2 Users Rate Qrvey?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.2/10 (Category avg: 8.4/10)
  • Reports Interface: 7.9/10 (Category avg: 8.8/10)
  • Calculated Fields: 7.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Qrvey?

  • Seller: Qrvey
  • Year Founded: 2016
  • HQ Location: Tysons, Virginia
  • Twitter: @qrvey
    463 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    60 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 55% Small, 38% Medium

What Do G2 Reviewers Say About Qrvey?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the user-friendly interface of Qrvey, making data analysis and dashboard creation simple and efficient.
  • Users value the embedded analytics capabilities of Qrvey for effective data access and decision-making.
  • Users value the automation capabilities of Qrvey, streamlining reporting tasks and enhancing overall efficiency in analytics.
  • Users appreciate the remarkable efficiency of Qrvey in facilitating faster decision-making through comprehensive data analysis.
  • Users appreciate the user-friendly interface of Qrvey, enhancing accessibility and ease of navigation for their analytics needs.
Cons
  • Users find the learning curve steep for some features, complicating onboarding and usage for new users.
  • Users find complex usage challenging, highlighting difficulties in setup, learning curve, and necessary technical knowledge.
  • Users find Qrvey's confusing pricing to be a barrier, impacting budgeting and overall user experience.
  • Users struggle with the difficulties of customization, finding complex setups and inadequate support hinder their experiences.
  • Users feel that Qrvey's pricing is expensive and lacks transparency, making budgeting and planning more challenging.

What Are Recent G2 Reviews of Qrvey?

What Are G2 Users Discussing About Qrvey?

Visier

Visier gives organizations a Workforce AI Edge: a set of AI-powered capabilities that help leaders understand the relationship between people and work, elevate employee productivity, and win by adapting to change faster. The company is the global leader in AI-powered people analytics, workforce planning, and compensation allocation. All Visier technology is underpinned by its Real-time People Data Platform, which uses AI to unlock the business-transforming potential of people data, work data, and the fusion of both. Founded in 2010 by the pioneers of business intelligence, Visier has over 60,000 customers in 75 countries—including enterprises like BASF, Panasonic, Experian, Amgen, eBay, Ford Motor Company, and more. To learn more about Visier, visit www.visier.com.

Average Rating: 4.6/5.0

Total Reviews: 219

How Do G2 Users Rate Visier?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.7/10 (Category avg: 8.4/10)
  • Reports Interface: 9.3/10 (Category avg: 8.8/10)
  • Calculated Fields: 6.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Visier?

  • Seller: Visier
  • Year Founded: 2010
  • HQ Location: Vancouver, British Columbia
  • Twitter: @visier
    6,164 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    532 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Hospital & Health Care, Information Technology and Services
  • Company Size: 82% Large, 17% Medium

What Do G2 Reviewers Say About Visier?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Visier, valuing its supportive self-service platform and assistance.
  • Users value the exceptional data analysis capabilities of Visier, enhancing insights from diverse datasets effortlessly.
  • Users value the rapid insights and data visualization capabilities of Visier, enhancing organizational decision-making and trend analysis.
  • Users appreciate the powerful data visualization capabilities of Visier, enabling quick insights without complex setup.
  • Users appreciate the time-saving features of Visier, enabling quick data ingestion and insightful visualizations.
Cons
  • Users find learning difficulty with company-specific metrics and the need for external support complicates their experience with Visier.
  • Users find the product expensive, hindering full adoption and raising concerns about data access and customization.
  • Users find the steep learning curve challenging, especially those unfamiliar with data analytics tools and configurations.
  • Users find the complexity of Visier's customization and analytics capabilities often challenging and cumbersome to navigate.
  • Users note the limited customization options in Visier compared to tools like Tableau and Power BI, impacting flexibility.

What Are Recent G2 Reviews of Visier?

What Are G2 Users Discussing About Visier?

Kyubit Business Intelligence

Kyubit Business Intelligence is a self-hosted BI and analytics platform for organizations that want secure, flexible reporting without relying on cloud-only infrastructure or per-user licensing. Kyubit connects directly to existing Microsoft SSAS / OLAP multidimensional and Tabular models, while also allowing organizations to turn SQL databases, Excel, and CSV data into analytics-ready semantic models using a visual, no-code modeling environment. Business users and analysts can quickly explore data with drag-and-drop grid analysis, drill-downs, slicers, calculated measures, time intelligence, ad hoc reporting, interactive dashboards, KPIs, and scheduled report delivery. Kyubit is designed for organizations that want to keep their analytics and business data within their own infrastructure while still providing modern self-service analytics across teams. Key capabilities include: • Self-hosted and on-premise BI deployment • Deep support for Microsoft SSAS / OLAP and Tabular models • Visual semantic modeling for SQL databases, Excel, and CSV data • Advanced grid analysis and ad hoc reporting • Interactive dashboards, charts, KPIs, and scorecards • Time intelligence and period comparison • Scheduled reports and email subscriptions • Embedded analytics using HTML and JavaScript • Role-based security and centralized governance • Multitenant deployment for serving multiple organizations • White-label options for enterprise deployments • Perpetual and annual subscription licensing Kyubit is particularly well suited to organizations already using Microsoft Analysis Services or relational databases that want to extend their existing data infrastructure with a lightweight, web-based analytics layer. Unlike many cloud BI platforms, Kyubit can be deployed entirely within the customer's own environment and uses server/edition-based licensing rather than requiring a separate cloud subscription for every report consumer. The result is a practical BI platform for self-service analytics, operational reporting, dashboarding, embedded BI, and governed enterprise analytics — while maintaining control over data, infrastructure, and licensing.

Average Rating: 4.4/5.0

Total Reviews: 12

How Do G2 Users Rate Kyubit Business Intelligence?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.2/10)
  • Reports Interface: 8.1/10 (Category avg: 8.8/10)
  • Calculated Fields: 7.1/10 (Category avg: 8.5/10)

Who Is the Company Behind Kyubit Business Intelligence?

Who Uses This Product?

  • Company Size: 42% Medium, 42% Small

What Are Recent G2 Reviews of Kyubit Business Intelligence?

OWOX

OWOX Data Marts is a Free Forever Self-Service Analytics Platform that brings live, trusted data to spreadsheets and dashboards of decision-makers. Ask in plain English or click to build – your trusted reports update in real time with no analyst in the loop. With OWOX Data Marts, companies grow revenue as fast as they collect new data by enabling self-service reporting for everyone. Trusted by 165,000+ users in data teams, but also in marketing, finance, and product teams: from fast-scaling startups to global enterprises, OWOX products powers decisions across every department with data people actually trust. ‍ Self-hosted and Cloud Deployment are available to suit any data stack. Imagine a world where exploring data is as easy as driving a car, without the limitations of public transport (traditional BI dashboards) or the cost of a private driver (data analysts). That's exactly what we assure you!

Average Rating: 4.9/5.0

Total Reviews: 290

How Do G2 Users Rate OWOX?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.2/10)
  • Steps to Answer: 5.0/10 (Category avg: 8.4/10)
  • Reports Interface: 5.8/10 (Category avg: 8.8/10)
  • Calculated Fields: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind OWOX?

  • Seller: OWOX
  • Year Founded: 2002
  • HQ Location: WALNUT, California
  • Twitter: @owox
    435 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    69 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Chief Marketing Officer, CEO
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 48% Small, 43% Medium

What Do G2 Reviewers Say About OWOX?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of OWOX, finding it reliable and quick to implement without issues.
  • Users appreciate the excellent support team and flexibility of OWOX in addressing their unique needs.
  • Users value the transparency and accessibility of data ownership with OWOX, enhancing their data management capabilities.
  • Users value the excellent customer support from OWOX, appreciating their responsiveness and ongoing assistance.
  • Users value the ease of use and insightful analytics of OWOX, significantly enhancing their data-driven decisions.
Cons
  • Users face data management issues with OWOX, highlighting bugs and scheduling reliability concerns affecting their experience.
  • Users face error handling challenges with OWOX, often requiring dedicated resources for troubleshooting and issue resolution.
  • Users find the pricing structure expensive, wishing for more affordable options to enhance their experience.
  • Users feel the integration issues with third-party apps hinder the overall functionality of OWOX.
  • Users desire more step-by-step instructions and greater reliability in scheduling features for OWOX.

What Are Recent G2 Reviews of OWOX?

What Are G2 Users Discussing About OWOX?

Rapidminer AI Studio

Rapidminer AI Studio is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an organization. Rapidminer AI Studio includes: - Full generative AI functionality with access to hundreds of large language models (LLMs). - Intuitive and powerful drag-and-drop canvases that give users code-like control without complexity. - Award-winning auto ML with automated clustering, predictive modeling, feature engineering, and time series forecasting. - Data connectivity, exploration, and preparation. - Deploy and manage AI projects and models at enterprise scale. - Collaborate with team members in the same environment without having to worry about overwriting each other's work. - Unify the entire data science lifecycle from data exploration and machine learning to model operations and visualization and deploy in the cloud. Rapidminer AI Studio helps users make powerful insights accessible to the entire organization and can scale seamlessly for users and enterprises. Rapidminer AI studio enables organizations to derive significant value from AI with minimal cost and operational impact.

Average Rating: 4.6/5.0

Total Reviews: 512

How Do G2 Users Rate Rapidminer AI Studio?

  • Has the product been a good partner in doing business?: 8.9/10 (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 Rapidminer AI Studio?

Who Uses This Product?

  • Who Uses This: Student, Professor
  • Top Industries: Higher Education, Education Management
  • Company Size: 41% Small, 31% Large

What Do G2 Reviewers Say About Rapidminer AI Studio?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Altair AI Studio, finding its interface intuitive and beneficial for data tasks.
  • Users value the no-code machine learning capabilities of Altair AI Studio, facilitating easy model creation and analysis.
  • Users value the seamless AI integration of Altair AI Studio, enhancing decision-making and improving efficiency across organizations.
  • Users appreciate the advanced machine learning and data analytics in Altair AI Studio for smarter decision-making and efficiency.
  • Users value the automation capabilities of Altair AI Studio, enhancing efficiency in data processing and decision making.
Cons
  • Users find the complexity of Altair AI Studio challenging, particularly with language support and integrating legacy systems.
  • Users experience slower performance when handling large datasets in Altair AI Studio, affecting their efficiency and experience.
  • Users experience slow performance when handling large datasets, leading to slowdowns or freezing during usage.
  • Users find the complexity issues of Altair AI Studio frustrating, especially due to limited support resources.
  • Users find the complex usage of Altair AI Studio challenging, especially due to limited documentation and steep learning curve.

What Are Recent G2 Reviews of Rapidminer AI Studio?

What Are G2 Users Discussing About Rapidminer AI Studio?

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