Best Agentic Analytics Software

How Many Agentic Analytics Software Products Does G2 Track?

Total Products under this Category: 57

Category Stats (Sep 2026)

  • Average Rating: 4.51/5 (↑0.03 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Unsupervised (+1.04%) - Among all products in this category, Unsupervised recorded the largest rating increase compared to last month

Last updated: September 14, 2026

How Does G2 Rank Agentic Analytics Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 8,100+ Authentic Reviews
  • 57+ 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 Agentic Analytics Software

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

Highlighted products: Tableau, Joule, Hex, BlazeSQL, ThoughtSpot, Domo, GoodData.AI, and Unsupervised.

Underlying data: [Grid® JSON](https://www.g2.com/categories/agentic-analytics/grids.json?focus%5B%5D=tableau&focus%5B%5D=joule&focus%5B%5D=hex-tech-hex&focus%5B%5D=blazesql&focus%5B%5D=thoughtspot&focus%5B%5D=domo&focus%5B%5D=gooddata-ai&focus%5B%5D=unsupervised)

Joule

Joule is an AI copilot that’s grounded in an organization's business data and infused with AI agents. It proactively assists employees in every cloud application they use while automating complex processes. Joule is designed to free teams from busy work and helps them work more efficiently with simple, natural language requests. Employees receive a continuous AI experience that connects data and workflows across SAP and third-party systems. Joule aims to enable faster, data-driven decisions with immediate, context-rich insights and automates multi-step workflows with a system of collaborative AI agents.

Average Rating: 4.3/5.0

Total Reviews: 99

Who Is the Company Behind Joule?

  • Seller: SAP
  • Company Website:
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 28% Medium, 28% Small

What Do G2 Reviewers Say About Joule?

AI-generated summary from verified user reviews

Pros
  • Users commend Joule for its ease of use, allowing quick setup and intuitive integration with existing tools.
  • Users value Joule's efficiency through easy setup and quick, intelligent responses that enhance productivity.
  • Users find Joule to be incredibly valuable for automating tasks and enhancing decision-making with tailored insights.
  • Users love Joule for its time-saving AI assistance, enhancing efficiency and streamlining essential operational tasks.
  • Users value Joule for its automation capabilities, enhancing productivity and streamlining complex tasks effortlessly across business operations.
Cons
  • Users find Joule's limited AI responsiveness frustrating, often receiving the same incorrect output rather than improved, context-specific answers.
  • Users find that Joule has usage limitations when handling complex requests, leading to variable performance and delays.
  • Users find that Joule suffers from inaccuracy, often providing generic answers and lacking contextual understanding.
  • Users feel that Joule needs enhanced contextual understanding to provide more accurate and tailored responses to prompts.
  • Users experience integration issues with Joule, particularly when connecting to non-SAP applications and core business systems.

What Are Recent G2 Reviews of Joule?

Tableau

Tableau is the world’s leading AI-powered analytics platform. Whether you are a business user or an analyst, Tableau turns trusted data into actionable insights. With our flexible, interoperable platform, you can: Turn data into action at scale with human and agent collaboration. Tableau Next delivers agentic AI for faster data-insight-action workflows. It surfaces insights, provides proactive recommendations, and helps you take action in the flow of work. Scale data-driven insights with complete operational confidence. Tableau Cloud enables fully managed analytics at scale. It accelerates your time to value and gives you access to the latest AI-powered innovations. Deploy visual, self-service analytics with unmatched control and flexibility. Tableau Server meets your organization's governance and security needs. It provides enterprise-grade, self-service analytics on-premise or in your private cloud.

Average Rating: 4.4/5.0

Total Reviews: 3,712

Who Is the Company Behind Tableau?

  • Seller: Salesforce
  • Company Website:
  • Year Founded: 1999
  • HQ Location: San Francisco, CA
  • Twitter: @salesforce
    579,511 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89,711 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 41% Large, 36% Medium

What Do G2 Reviewers Say About Tableau?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use of Tableau, simplifying data visualization and integration for effective decision-making.
  • Users value the ease of creating interactive visualizations with Tableau, simplifying data analysis from multiple sources.
  • Users love the intuitive and powerful visualization capabilities of Tableau, enabling clear insights from complex data.
  • Users appreciate the ease of use and powerful visualization features of Tableau, streamlining data presentation and analysis.
  • Users find Tableau's intuitive design exceptional, enabling effortless data visualization and interactive dashboards for effective reporting.
Cons
  • Users find the learning curve steep, complicating the onboarding process and integration with Salesforce.
  • Users find learning Tableau challenging, particularly due to its complexity and difficulties in collaboration and calculations.
  • Users find Tableau expensive, with costs complicating its value in large organizations and advanced functionalities.
  • Users experience slow performance with large datasets and lengthy data refresh processes, leading to frustration.
  • Users find Tableau's onboarding complex, making simple tasks unnecessarily complicated and challenging to switch from MS products.

What Are Recent G2 Reviews of Tableau?

What Are G2 Users Discussing About Tableau?

Hex

Hex is the world’s favorite AI Analytics platform. With Hex, anyone can explore data using natural language, with or without code, all on trusted context, in one AI-powered platform. Get started now > https://app.hex.tech/signup?source=g2 Get a demo > https://hex.tech/request-a-demo/?source=g2

Average Rating: 4.5/5.0

Total Reviews: 402

Who Is the Company Behind Hex?

  • Seller: Hex Tech
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco, US
  • Twitter: @_hex_tech
    6,982 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    280 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Data Scientist
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 53% Medium, 22% Small

What Do G2 Reviewers Say About Hex?

AI-generated summary from verified user reviews

Pros
  • Users find Hex to be user-friendly, highlighting its seamless integrations and fast implementation as major advantages.
  • Users love the seamless integration of SQL with Python, enhancing their analytical capabilities in Hex effortlessly.
  • Users appreciate the seamless data management capabilities of Hex, enabling effortless integration and collaboration.
  • Users value the effortless integration of SQL and Python in Hex, enhancing data analysis and visualization capabilities.
  • Users appreciate the seamless data analysis and reporting capabilities of Hex, enhancing collaboration and interactivity.
Cons
  • Users criticize the limited features of Hex, noting insufficient capabilities compared to standard BI tools like Tableau.
  • Users find the missing features in Hex frustrating, desiring better data visualization and result management capabilities.
  • Users find Hex lacking features, especially in dashboarding and advanced functionalities that impact usability and efficiency.
  • Users experience slow performance with Hex, especially within virtual machines and due to limited computational capacity.
  • Users often face data management issues with kernel failures and GPU integration, complicating their experience with Hex.

What Are Recent G2 Reviews of Hex?

What Are G2 Users Discussing About Hex?

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: 128

Who Is the Company Behind BlazeSQL?

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Accounting
  • Company Size: 59% Small, 29% 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?

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: 327

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
    1,738 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Large, 42% 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?

Domo

Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI across their business. Built for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks to help teams turn governed data into AI-powered agents, apps, workflows, and analytics. Domo is built on three layers. The data foundation connects and governs data across cloud data platforms and business systems. The activation layer enables organizations to build AI agents, apps, workflows, automations, and dashboards on top of that foundation. The distribution layer delivers intelligence where work happens through embedded apps, mobile, dashboards, and AI assistants using Model Context Protocol (MCP). Governance underpins every layer, helping organizations scale AI and data products with security and trust. Key capabilities include: - Connecting and governing data across cloud data platforms and enterprise applications. - Building AI agents, apps, workflows, automations, dashboards, and analytics. - Delivering data and AI through dashboards, embedded apps, AI assistants, and AI agents. - Supporting both low-code and pro-code development for business and technical teams. - Applying governance, security, and access controls across data and AI. Organizations use Domo for AI agents, apps, and workflows, as well as business intelligence, operational analytics, embedded analytics, and executive reporting. By combining governed data, AI activation, app development, and distribution in a single platform, Domo helps organizations build and scale trusted data products across the enterprise.

Average Rating: 4.3/5.0

Total Reviews: 1,069

Who Is the Company Behind Domo?

  • Seller: Domo
  • Company Website:
  • Year Founded: 2010
  • HQ Location: American Fork, UT
  • Twitter: @Domotalk
    63,513 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Medium, 28% Large

What Do G2 Reviewers Say About Domo?

AI-generated summary from verified user reviews

Pros
  • Users find Domo's ease of use and intuitive design invaluable for managing data efficiently and effectively.
  • Users value the flexible and user-friendly data visualization capabilities of Domo, enhancing their data analysis experience significantly.
  • Users find Domo's intuitive design empowering, facilitating easy access and effective data visualization for all skill levels.
  • Users praise Domo for its easy integrations, streamlining data management and enhancing real-time collaboration across various platforms.
  • Users value Domo's seamless integration capabilities, enabling efficient data management and real-time insights from various sources.
Cons
  • Users find the learning curve steep, often needing dedicated resources to manage updates and functionalities effectively.
  • Users report missing features in Domo, including flexibility in pivot charts and dynamic column options.
  • Users face significant data management issues with Domo, including unreliable connectors and challenging reporting functionality.
  • Users find Domo expensive, especially with drastic price increases that strain budgets and erode client trust.
  • Users find Domo's complexity hinders flexibility and speed in dataset management, making changes challenging and time-consuming.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

GoodData.AI

GoodData is the full-stack, AI-native decision intelligence platform that helps businesses turn data into actionable, enterprise-grade insights. Designed for governed, scalable analytics, GoodData enables organizations to build, operationalize, and embed decisions, workflows, and AI agents directly within products and business workflows. The platform combines Analytics as Code, a governed semantic and metrics layer, APIs, SDKs, and open AI interoperability to help teams create composable analytics and AI experiences across products, workflows, and customer environments. From embedded analytics and dashboards to assistants, AI workflows, and interoperable agents, GoodData gives teams the foundation to move from insight to action with governance, performance, and deployment flexibility built in. Today, GoodData serves over 140,000 companies and 3.2 million users worldwide.

Average Rating: 4.3/5.0

Total Reviews: 592

Who Is the Company Behind GoodData.AI?

  • Seller: GoodData.AI
  • Company Website:
  • Year Founded: 2007
  • HQ Location: San Francisco, CA
  • Twitter: @gooddata
    1 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    290 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Product Manager
  • Top Industries: Computer Software, Consumer Services
  • Company Size: 44% Medium, 40% Small

What Do G2 Reviewers Say About GoodData.AI?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of GoodData.AI, enabling quick report creation and smooth integration with data systems.
  • Users appreciate the impressive data visualization features of GoodData.AI, enabling clear insights for all users.
  • Users appreciate the seamless integration of GoodData.AI with data sources, enhancing efficiency throughout the data lifecycle.
  • Users find GoodData.AI intuitive and easy to use, enabling quick reporting and data visualization for everyone.
  • Users value the easy integrations of GoodData.AI, enhancing data analysis and streamlining the product lifecycle.
Cons
  • Users experience a steep learning curve with GoodData, making adaptation to business needs challenging and slow.
  • Users find GoodData.AI lacking important features and documentation, making it hard to access insights and data.
  • Users find the learning difficulty with GoodData.AI challenging, particularly in understanding MAQL language and complex data models.
  • Users find GoodData.AI's complexity challenging, especially during setup and when adapting to changing data structures.
  • Users find the limited customization options of GoodData.AI hinder their ability to fully tailor visualizations and reports.

What Are Recent G2 Reviews of GoodData.AI?

Unsupervised

Unsupervised automates analytics so revenue teams go straight to why metrics are failing or succeeding, surfacing hidden growth opportunities without endless dashboards. As the only platform leveraging unsupervised AI at scale, Unsupervised automates data prep and analysis of complex data, discovering the most critical KPIs and tracking the monetary return to the business over time. Business and data teams use Unsupervised to drive growth, reduce costs and mitigate risks without additional data science investment.

Average Rating: 4.3/5.0

Total Reviews: 47

Who Is the Company Behind Unsupervised?

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 59% Small, 31% Medium

What Do G2 Reviewers Say About Unsupervised?

AI-generated summary from verified user reviews

Pros
  • Users commend the ease of use of Unsupervised, finding it flexible and intuitive compared to competitors.
  • Users value the flexibility of Unsupervised, finding it easy to use and intuitive compared to competitors.
  • Users find the intuitive connection of Unsupervised easy and flexible, making it simpler than many competitors.
Cons
  • Users find the learning curve challenging, especially those with limited data analysis experience, making it difficult to grasp.

What Are Recent G2 Reviews of Unsupervised?

Alteryx

Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial.

Average Rating: 4.6/5.0

Total Reviews: 863

Who Is the Company Behind Alteryx?

  • Seller: Alteryx
  • Company Website:
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • Twitter: @alteryx
    26,149 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,312 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Analyst
  • Top Industries: Financial Services, Accounting
  • Company Size: 63% Large, 21% Medium

What Do G2 Reviewers Say About Alteryx?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Alteryx, finding it simple to automate tasks with drag and drop functionality.
  • Users value the automation capabilities of Alteryx, streamlining data processes and enhancing analytical efficiency.
  • Users find Alteryx to be very intuitive, making it easy for non-technical users to learn and utilize.
  • Users find that Alteryx's interface makes learning technology easy for everyone, even those without a tech background.
  • Users value Alteryx for its efficiency in managing data, streamlining workflows, and enhancing overall productivity.
Cons
  • Users highlight the expensive pricing of Alteryx, making it difficult for small teams or startups to afford licenses.
  • Users face a steep learning curve with Alteryx, requiring time to master its complex features.
  • Users find that Alteryx suffers from missing features, such as lack of direct database access and limited reporting tools.
  • Users find the learning difficulty of Alteryx steep, especially for those unfamiliar with RegEx and SQL.
  • Users experience slow performance with Alteryx, particularly when handling large workflows and during data wrangling tasks.

What Are Recent G2 Reviews of Alteryx?

Toffu AI

Toffu AI is an AI-powered marketing automation platform designed to streamline marketing operations for B2B SaaS companies. It enables marketing teams to execute strategies, analyze data, and make informed decisions through a conversational chat interface. By integrating with existing marketing tools, Toffu AI automates repetitive tasks, generates insights, and optimizes campaigns in real time, allowing teams to focus on strategic initiatives. Key Features: - Conversational AI Interface: Allows users to perform marketing tasks and receive insights through natural language commands, simplifying complex operations. - Seamless Tool Integration: Connects with platforms like Google Analytics, LinkedIn, and Google Ads to coordinate campaigns and automate workflows. - Automated Task Execution: Handles repetitive activities such as keyword research and campaign optimization, freeing up time for strategic planning. - Data-Driven Insights: Provides real-time analysis of marketing data, offering actionable recommendations to enhance performance. - Smart Playbooks: Offers adaptable, repeatable workflows for various marketing strategies, guiding users through tasks like account-based marketing and influencer outreach. Primary Value and Solutions: Toffu AI addresses the inefficiencies of manual marketing processes by automating tasks such as data aggregation, report generation, and cross-platform campaign management. This automation reduces time spent on administrative work and minimizes human error in data interpretation. The platform is particularly valuable for marketing teams in B2B companies, agencies, and enterprises aiming to scale operations without increasing headcount. Use cases include scaling account-based marketing research, optimizing paid ad budgets, and conducting real-time competitor analysis to inform campaign adjustments.

Average Rating: 4.7/5.0

Total Reviews: 25

Who Is the Company Behind Toffu AI?

  • Seller: Toffu AI
  • Year Founded: 2024
  • HQ Location: Middletown, US
  • LinkedIn® Page: linkedin.com
    3 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 72% Small, 16% Medium

What Do G2 Reviewers Say About Toffu AI?

AI-generated summary from verified user reviews

Pros
  • Users love the streamlined content creation process of Toffu AI, enhancing productivity and efficiency in marketing efforts.
  • Users find Toffu AI to be a significant time-saver, effortlessly automating tasks and streamlining their content creation process.
  • Users value the valuable insights provided by Toffu AI, enhancing efficiency and effectiveness in their marketing strategies.
  • Users value the easy integration capabilities of Toffu AI, enabling seamless access to analytics and marketing insights.
  • Users value Toffu AI for its tailored digital marketing capabilities, enhancing collaboration and efficiency within marketing teams.
Cons
  • Users notice slight inaccuracies in data provided by Toffu AI, requiring careful verification before usage.
  • Users note the limited features of Toffu AI, expressing a need for additional functionality as it develops.
  • Users experience some minor UI glitches and occasional bugs, but improvements are consistently being made as the product evolves.
  • Users express concerns about the high credit consumption for brief conversations with Toffu AI, limiting usability.
  • Users are concerned about the missing LinkedIn Ads integration, anticipating this feature's arrival in the future.

What Are Recent G2 Reviews of Toffu AI?

Sprig

Sprig is an enterprise survey platform powered by AI agents. We help organizations move from question to evidence faster by transforming how research is designed, fielded, and synthesized. Instead of relying on manual survey programming, static forms, and time-consuming analysis, Sprig combines modern survey infrastructure with specialized agents that accelerate every stage of the research process. Research teams use Sprig to run customer surveys, market research, experience measurement, journey research, concept testing, and strategic studies. Whether collecting feedback from customers, prospects, panel participants, or users inside a product, Sprig helps teams gather higher-quality data and uncover deeper insights. Three AI agents power every stage of the research process: Design Agent: Builds rigorous studies from survey documents, research goals, briefs, and existing questionnaires. Field Agent: Delivers adaptive surveys that personalize questions and gather richer feedback across every channel. Synthesize Agent: Transforms responses into evidence-backed reports, themes, and recommendations. Leading companies including Microsoft, Figma, Notion, Ramp, DoorDash, Coinbase, Harvey, and Robinhood use Sprig to continuously learn from customers, understand markets, validate ideas, and improve products. By combining enterprise survey capabilities with AI-powered agents, Sprig enables teams to move faster, make better decisions, and turn research into a competitive advantage.

Average Rating: 4.3/5.0

Total Reviews: 197

Who Is the Company Behind Sprig?

  • Seller: Sprig
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco, California
  • Twitter: @Sprig
    2,085 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    261 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Product Manager, Product Designer
  • Top Industries: Computer Software, Financial Services
  • Company Size: 61% Medium, 28% Large

What Do G2 Reviewers Say About Sprig?

AI-generated summary from verified user reviews

Pros
  • Users love the easy setup of Sprig, making it accessible for non-technical individuals and efficient for insights.
  • Users find Sprig's ease of use refreshing, appreciating its intuitive setup and seamless integration with tools like Slack.
  • Users love Sprig for its intuitive usability, making it easy to gather valuable customer feedback efficiently.
  • Users praise the responsive customer support of Sprig, making assistance readily available during technical challenges.
  • Users find Sprig helpful for its simple installation and intuitive design, enhancing ease of use for everyone.
Cons
  • Users face issues with survey navigation and logic, making it challenging to extract meaningful insights.
  • Users struggle with survey limitations, facing navigation issues, lack of informative responses, and potential high costs.
  • Users find the clutter of unnecessary features in Sprig hampers their experience and usability of the product.
  • Users face challenges with data inaccuracy in Sprig, as export formatting and billing clarity can be frustrating.
  • Users find Sprig's limited features frustrating, often making navigation and data utilization challenging and inefficient.

What Are Recent G2 Reviews of Sprig?

Zenlytic

Most orgs have more data than they know what to do with. Zenlytic changes that. Zenlytic is the AI Data Analyst for your entire org. Zoë answers the hardest questions and builds the decks, memos, and Excel models to back them up. She onboards in under an hour and surfaces verified answers on demand. Companies in retail, SaaS, technology, and finance use Zenlytic to stop waiting on data and start acting on it. Business teams get answers without the backlog. Data teams get out of the weeds. Curious what that looks like for your org? Start here.

Average Rating: 4.1/5.0

Total Reviews: 17

Who Is the Company Behind Zenlytic?

  • Seller: Zenlytic
  • Company Website:
  • Year Founded: 2018
  • HQ Location: New York, US
  • LinkedIn® Page: www.linkedin.com
    34 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 41% Medium, 29% Large

What Are Recent G2 Reviews of Zenlytic?

Signara

Signara is an agentic analytics platform for SMBs. It automatically turns business data into trusted KPIs, interactive dashboards, executive narratives, insights, recommendations, and next steps without requiring an analyst. For every dataset, Signara identifies the relevant KPIs, investigates what changed and why, and recommends specific actions based on the business domain. Signara turns those recommendations into assigned action. Users can assign a next step to an individual or team, create the task in Jira, Monday.com and more, or notify the relevant people by email. Every calculation is deterministic and auditable. Metrics reconcile directly to the source data, so AI explains the results but never invents the numbers. Signara also checks data quality and flags integrity issues that could affect the analysis. Connect data from HubSpot, Google Sheets, Excel, BigQuery, Snowflake, Databricks, PostgreSQL, MySQL, CSV, and more. Signara is also available as a connector in Claude, allowing users to run analytics and reporting tasks directly from Claude. A free tier is available with no credit card required. Signara is a modern alternative to Tableau, Power BI, Looker Studio, DashThis, and Klipfolio for teams that want more than dashboards. It automates reporting, interpretation, root cause analysis, recommendations, ownership, and task creation in one workflow, taking businesses from raw data to decisions and assigned action.

Average Rating: 4.8/5.0

Total Reviews: 9

Who Is the Company Behind Signara?

Who Uses This Product?

  • Company Size: 90% Small, 10% Large

What Are Recent G2 Reviews of Signara?

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

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?

Tellius

Kaiya, our agentic worker, reasons across every data and documents while keeping your definitions and playbooks applied. Then, rather than stopping at the answer like a chat or copilot system, it outputs polished work, fully functional apps, and repeatable (governered) agentic workflows that run recurring work on a schedule and watch the business around the clock. Everywhere your team works Slack/ Teams/ CRM/ ERP etc. Need something new? Describe the tweak to the workflow, the insight, the app and it's tailored on your governed data in minutes. Tellius inherits the semantic layer you already have — Snowflake, dbt, your catalog — instead of replacing it. Connect and Architect resolves your entities and metrics into one model. A deterministic engine handles the numbers, so the answer is the same every run and traceable to source. Governed memory writes approved corrections back, so nothing gets taught twice.

Average Rating: 4.3/5.0

Total Reviews: 27

Who Is the Company Behind Tellius?

  • Seller: Tellius
  • Year Founded: 2016
  • HQ Location: Reston, Virginia
  • Twitter: @TelliusData
    534 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    123 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 41% Large, 33% Medium

What Do G2 Reviewers Say About Tellius?

AI-generated summary from verified user reviews

Pros
  • Users value the data visualization tools of Tellius, appreciating the ability to create interactive and informative dashboards.
  • Users value the advanced analytics capabilities of Tellius, utilizing AI-driven insights for deeper data understanding.
  • Users appreciate the ease of use of Tellius, particularly for its natural language querying capabilities.
  • Users value the advanced analytics capabilities of Tellius, enhancing their ability to uncover insights in data.
  • Users value the advanced analytics capabilities of Tellius, enabling them to uncover hidden patterns and trends effortlessly.
Cons
  • Users express concern over the confusing pricing of Tellius, which may not fit small businesses or startups.
  • Users find Tellius expensive, making it less accessible for small businesses and startups seeking affordable solutions.
  • Users often face integration issues with Tellius, as it lacks the extensive third-party app support of other BI tools.
  • Users mention a complex learning curve with Tellius, making it challenging for those new to advanced analytics.
  • Users experience missing functionality in Tellius, particularly regarding integrations and mobile app capabilities.

What Are Recent G2 Reviews of Tellius?

What Are G2 Users Discussing About Tellius?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated January 28, 2026