Top Free Data Science and Machine Learning Platforms - Page 4

How Many Data Science and Machine Learning Platforms Products Does G2 Track?

Total Products under this Category: 1,646

Category Stats (Oct 2026)

  • Average Rating: 4.46/5 (↓0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Braintrust Data (+1.99%) - Among all products in this category, Braintrust Data recorded the largest rating increase compared to last month

Last updated: October 21, 2026

How Does G2 Rank Data Science and Machine Learning Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 14,600+ Authentic Reviews
  • 1,646+ 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 Data Science and Machine Learning Platforms

G2 Grid® for Data Science and Machine Learning Platforms plotting products by satisfaction and market presence

Highlighted products: Databricks, Gemini platform, SAS Viya, Google Cloud AutoML, IBM watsonx.data, MATLAB, Snowflake, and Dataiku.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-science-and-machine-learning-platforms/grids.json?focus%5B%5D=databricks&focus%5B%5D=gemini-platform&focus%5B%5D=sas-sas-viya&focus%5B%5D=google-cloud-automl&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=matlab&focus%5B%5D=snowflake&focus%5B%5D=dataiku)

Iguazio

Iguazio’s AI software enables enterprises to develop, deploy and manage AI applications, drastically shortening the time required to create real business value with AI. Using Iguazio, organizations can develop AI models at scale and in real time, deploy them anywhere (multi-cloud, on-prem or edge), and bring to life their most ambitious AI-driven strategies. Enterprises spanning a wide range of verticals use Iguazio to solve the complexities of MLOps and create business impact through a multitude of ML and Generative AI use cases such as chatbot automation, fraud prediction, real-time recommendation engines and predictive maintenance. Iguazio was acquired by McKinsey & Company in January of 2023 and is now a part of QuantumBlack, McKinsey's AI arm. Iguazio brings data science to life.

Average Rating: 4.8/5.0

Total Reviews: 4

How Do G2 Users Rate Iguazio?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 7.5/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.3/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Iguazio?

  • Seller: Iguazio
  • Year Founded: 2014
  • HQ Location: Herzliya, IL
  • Twitter: @iguazio
    929 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    74 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 25% Small

What Do G2 Reviewers Say About Iguazio?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the production-ready AI capabilities of Iguazio, streamlining the ML lifecycle for quick deployments.
  • Users appreciate the production-ready AI integration of Iguazio, simplifying the ML lifecycle with a seamless platform.
  • Users value the automation capabilities of Iguazio, streamlining the ML lifecycle for efficient production-ready AI deployment.
  • Users value the customization options in Iguazio, enhancing their ML workflows and ensuring seamless deployment for production-ready AI.
  • Users value the deployment ease of Iguazio, streamlining the ML lifecycle and enabling rapid production readiness.
Cons
  • Users find Iguazio’s complexity challenging as it is not beginner-friendly and has unclear pricing structures.
  • Users find Iguazio's lack of transparent pricing makes it difficult to understand the overall costs involved.
  • Users find Iguazio lacking features such as beginner-friendly support and clear pricing information.
  • Users find Iguazio's lack of guidance challenging, especially for beginners navigating its complexity.
  • Users find Iguazio's learning curve steep, making it challenging for beginners to navigate effectively.

What Are Recent G2 Reviews of Iguazio?

What Are G2 Users Discussing About Iguazio?

Kili

Kili Technology is a collaborative AI data platform designed to meet the rigorous needs of building large-scale production-ready AI data securely. Founded in Paris in 2018, Kili Technology caters to a diverse range of industries, including healthcare, financial services, manufacturing, defense, and technology. The platform is engineered to support teams of varying sizes, accommodating anywhere from 1 to over 500 concurrent users, and processes millions of assets annually. The core functionality of Kili Technology lies in its ability to facilitate collaboration among cross-functional teams. Unlike traditional labeling tools that primarily serve machine learning engineers, Kili connects data science teams with business stakeholders and subject matter experts. This integration enhances the AI development lifecycle by streamlining processes from annotation and labeling to validation and model feedback. As a result, users can ensure that the data used for training AI models is not only accurate but also relevant to the specific business context. Kili Technology is particularly beneficial for organizations looking to harness the power of AI while maintaining a high level of data quality. The platform supports various data modalities, allowing teams to work with text, images, audio, and video data seamlessly. This versatility makes it suitable for a wide range of applications, from developing natural language processing models to image recognition systems. By fostering collaboration among different roles within an organization, Kili enhances the overall efficiency of the AI development process. Key features of Kili Technology include an intuitive user interface that simplifies the labeling process, robust tools for data validation, and comprehensive feedback mechanisms that enable continuous improvement of AI models. Additionally, the platform offers advanced analytics capabilities, allowing teams to track progress and identify areas for enhancement. These features collectively empower organizations to build high-quality training datasets that meet the demands of complex AI applications. Kili Technology stands out in the competitive landscape of AI data platforms by prioritizing collaboration and usability. By bridging the gap between technical and non-technical stakeholders, it ensures that the development of AI solutions is a cohesive effort. This approach not only accelerates the time to market for AI initiatives but also enhances the overall quality of the training data, ultimately leading to more effective AI models.

Average Rating: 4.7/5.0

Total Reviews: 52

How Do G2 Users Rate Kili?

  • Ease of Admin: 9.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Kili?

  • Seller: Kili Technology
  • Company Website:
  • Year Founded: 2018
  • HQ Location: Paris, FR
  • Twitter: @Kili_Technology
    438 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    52 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Medium, 34% Small

What Do G2 Reviewers Say About Kili?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use and precise metrics for comprehensive visualization of annotation projects on Kili.
  • Users love the ease of use of Kili's data labeling platform, appreciating its precise metrics and project visualization.
  • Users love the ease of use of Kili, making annotation projects straightforward and efficient.
  • Users value the variety of models available on Kili, enhancing their annotation projects with diverse options.
Cons
  • Users feel Kili lacks ample features, expressing a desire for more content in platform updates.
  • Users feel that Kili lacks adequate content updates, impacting their overall experience and functionality of the platform.

What Are Recent G2 Reviews of Kili?

Kortical

Kortical is an AI Cloud / ML platform that delivers acceleration without sacrificing any control over the model building process. Build AI in code or in the UI, depending on your preference. Key features are: - Powerful SDK and UI interfaces - Exploratory Data Analysis - Data Cleaning & Feature Engineering - Model Building With Interactive AutoML - Experiment Tracking - Explainability - "1 click" Deployment - Instant Apps to create Enterprise Grade ML apps in minutes (code included) The cloud infrastructure is set-up so all you need is a login and you can from raw data to fully deployed model in hours. Using Kortical's app templates Data scientists are empowered to own the process from raw data to fully deployed, enterprise grade application, based on industry leading stack, including Kubernetes, uwsgi and continuous integration. With Kortical you get the best of data scientist and machine and we have a team of data scientists on hand to support you at any stage of your ML solution delivery. Kortical gets more accurate model results than Google AutoML, Azure, Datarobot and more, do reach out to check it out.

Average Rating: 5.0/5.0

Total Reviews: 2

How Do G2 Users Rate Kortical?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 6.7/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 6.7/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Kortical?

  • Seller: Kortical
  • Year Founded: 2016
  • HQ Location: London, GB
  • Twitter: @Kortical_
    352 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    14 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Are Recent G2 Reviews of Kortical?

What Are G2 Users Discussing About Kortical?

AI can help you find the answers. G2 helps you trust them.

Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.

How it works
Connect G2 to ChatGPTConnect G2 to Claude

Observable

Observable is a data analysis and exploration platform that helps data analysts and their stakeholders understand their business data, build charts and other visualizations, and communicate insights. Built for teams, powered by AI, and backed by a global community of data practitioners, Observable offers a single workspace for data exploration, custom chart creation, and cross-functional data collaboration. Observable's collaborative whiteboard for data analysis, Observable Canvases, helps analysts with exploratory data analysis, advanced chart creation, and data storytelling. It makes the data analysis process more streamlined by bringing querying, chart creation, and sharing all in one platform. Users can choose between code, UI, or AI, and easily move between all three depending on the task at hand. The AI is also deeply integrated and turnkey, operating transparently on the canvas to allow users to understand, interpret, and fine-tune its results and reasoning, building trust in its recommendations. Additionally, whiteboarding features like comments, illustrations, and annotations help bring stakeholders into the data analysis process to reduce frustrating back-and-forths. Sophisticated data visualizations such as beeswarms, Sankey diagrams, choropleths, and more are available out-of-the-box to enable users to easily create and share expressive, interactive charts. Users can embed charts in internal apps, and generate polished, stakeholder-friendly dashboards in just a few clicks.

Average Rating: 4.4/5.0

Total Reviews: 4

How Do G2 Users Rate Observable?

  • Application: 6.7/10 (Category avg: 8.5/10)
  • Managed Service: 6.7/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 6.7/10 (Category avg: 8.3/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Observable?

  • Seller: Observable
  • Year Founded: 2017
  • HQ Location: San Francisco, US
  • Twitter: @observablehq
    25,314 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    23 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 25% Large

What Do G2 Reviewers Say About Observable?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless data exploration and beautiful visual output offered by Observable's charting features.
  • Users appreciate the real-time collaboration features of Observable, enhancing teamwork and data exploration effortlessly.
  • Users love the seamless data visualization features of Observable, enhancing their exploration and collaboration experience.
  • Users love the beautiful visual output of Observable, making data sharing and embedding effortless and appealing.
  • Users enjoy the ease of use of Observable, allowing for seamless data exploration and effortless coding.
Cons
  • Users find Observable can feel browser-heavy with large data sets, impacting performance and usability.
  • Users find the software browser-heavy with large data sets, impacting performance and usability for complex applications.
  • Users find that Observable can be slow performing with large data sets or complex applications, impacting usability.

What Are Recent G2 Reviews of Observable?

Olostep

Built to power the Web's second user, Olostep (olostep.com) is the best web search, scraping and crawling API for AI. Olostep is powering the world's leading AI startups and agents. It transforms complex, JavaScript-heavy websites into clean, structured, LLM-ready data. The API returns formats like Markdown, JSON, HTML, PDF, and screenshots. Olostep is the most reliable and cost-effective solution on the market, suited for scalable business needs. Olostep is one of the few solutions on the market that does not strictly require a monthly subscription. You can buy one-time credits that are valid for 6 months. Get clean data for your AI from any website with Olostep. Test it for free. No credit card required.

Average Rating: 4.3/5.0

Total Reviews: 2

Who Is the Company Behind Olostep?

  • Seller: Olostep
  • Year Founded: 2024
  • HQ Location: Dover, US
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Olostep?

Plainsight

Plainsight is a Vision AI platform that helps enterprises turn images and video into actionable operational intelligence. The Plainsight Platform simplifies the full computer vision lifecycle, from data collection and model training to deployment, monitoring, and continuous improvement. With Plainsight, teams can build, manage, and scale custom computer vision solutions that improve visibility, automate manual processes, reduce risk, and uncover insights from real-world environments. Plainsight is designed for enterprises that need production-ready Vision AI across industries such as restaurants, retail, manufacturing, logistics, and other operationally complex environments.For more information, visit https://plainsight.ai.

Average Rating: 4.5/5.0

Total Reviews: 5

Who Is the Company Behind Plainsight?

  • Seller: Plainsight
  • Year Founded: 2024
  • HQ Location: Greater Seattle Area, US
  • Twitter: @PlainsightAI
    1,456 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    36 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 80% Small, 20% Medium

What Do G2 Reviewers Say About Plainsight?

AI-generated summary from verified user reviews

Pros
  • Users value the no-code and low-code options of Plainsight, enhancing accessibility for AI vision projects.
  • Users value the no-code and low-code options in Plainsight, enhancing accessibility to AI vision capabilities.
  • Users value the no-code and low-code options of Plainsight, enhancing accessibility to AI vision technologies.
  • Users value the no-code and low-code options of Plainsight, enhancing accessibility for AI vision development.
  • Users appreciate the no-code and low-code options that make AI vision more accessible and user-friendly.
Cons
  • Users find that some advanced features require technical knowledge, limiting full utilization of Plainsight's capabilities.
  • Users note that while there are no-code options, some advanced features still require technical knowledge to utilize effectively.

What Are Recent G2 Reviews of Plainsight?

What Are G2 Users Discussing About Plainsight?

Qualetics

Discover Qualetics, your gateway to effortless AI automation. Our cutting-edge platform is designed to provide businesses with a seamless experience with its intuitive no-code AI capabilities. Say goodbye to coding complexities and hello to the future of AI innovation! Key Features: No Code AI: Qualetics empowers you with a no-code AI platform, eliminating the need for programming expertise. Dive into the world of artificial intelligence effortlessly and bring your ideas to life without writing a single line of code. Pre-Trained AI Models: Benefit from over 25+ pre-trained AI models covering a diverse range of applications. Qualetics ensures that you have access to state-of-the-art models for tasks such as text analysis, image recognition, document processing, and audio/video data interpretation. Self Learning AI Models: Qualetics goes beyond static models. Our platform features self-learning AI models that adapt and evolve over time, ensuring that your solutions stay ahead of the curve and continuously improve their performance. Data Processing Capabilities: Seamlessly process text, image, document, audio, and video data with Qualetics. Our platform is your all-in-one solution for comprehensive data processing, enabling you to extract valuable insights from various types of content. Multi-Tenancy: Qualetics understands the importance of scalability and collaboration. Our multi-tenancy support allows multiple users or teams to work concurrently within the platform, ensuring efficiency and collaboration at every level. Security and Governance: Trust is paramount. Qualetics prioritizes your data's security with robust measures and governance protocols. Rest assured that your AI endeavors are protected and compliant with industry standards. Real-Time Observability: Stay informed and in control with real-time observability features. Monitor your AI models' performance, track usage metrics, and receive insights instantly. Qualetics gives you the tools to make informed decisions on the fly. Why Choose Qualetics: Simplicity Meets Innovation: Qualetics brings the power of AI to your fingertips without the complexity of coding. Diverse Model Library: Access a rich library of pre-trained models for a wide array of applications. Adaptive Learning: Benefit from self-learning AI models that adapt to evolving data patterns. Versatile Data Processing: Process text, image, document, audio, and video data seamlessly in one platform. Collaborative Environment: Foster collaboration with multi-tenancy support for teams of any size. Security-First Approach: Ensure the security and governance of your AI initiatives with our robust measures. Real-Time Insights: Make informed decisions with real-time observability features, putting you in control. Embark on your AI journey with Qualetics and experience the future of AI, simplified. Explore possibilities, innovate effortlessly!

Average Rating: 4.4/5.0

Total Reviews: 5

How Do G2 Users Rate Qualetics?

  • Application: 10.0/10 (Category avg: 8.5/10)
  • Managed Service: 6.7/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.3/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Qualetics?

Who Uses This Product?

  • Company Size: 40% Medium, 20% Small

What Do G2 Reviewers Say About Qualetics?

AI-generated summary from verified user reviews

Pros
  • Users value the customer insights provided by Qualetics, enabling personalized experiences that enhance loyalty and satisfaction.
  • Users value the personalized data-driven insights from Qualetics, enhancing customer loyalty and satisfaction significantly.
  • Users value the personalized experience Qualetics offers, enhancing customer loyalty through tailored messaging and content recommendations.
  • Users value the personalized experience that Qualetics provides, enhancing loyalty and customer satisfaction through tailored interactions.
  • Users love the fantastic personalization features of Qualetics, enhancing customer loyalty and satisfaction through tailored experiences.
Cons
  • Users find the limited customization options of Qualetics hinder their ability to tailor dashboards to specific needs.
  • Users find the limited customization options inadequate for addressing their unique business needs effectively.
  • Users find the limited customization options hinder their ability to tailor the product to unique business needs.
  • Users find the limited customization options of Qualetics hinder their ability to tailor it to unique business needs.

What Are Recent G2 Reviews of Qualetics?

Tazi

TAZI is an Adaptive Machine Learning platform serving business users. TAZI has been chosen as a Cool Vendor in Core AI Technologies by Gartner and is cited as a Responsible, Explainable AI vendor in various analyst reports. Also, Data Science Central considered TAZI as "The Next Generation of Auto ML”. TAZI platform is based on an architecture combining 30+ years of experience and 23 patents in AI. TAZI enables business experts (and data scientists) to easily create, update, deploy and take actions with ML. TAZI models are understandable and learn continuously from streaming data and humans. TAZI helps insurance, retail, pharma, health, finance, manufacturing, and telco industries in making smarter business decisions via democratizing AI. TAZI provides various solutions such as customer retention, churn prediction, sales forecasting, and demand prediction to many companies including Fortune 500 from its offices in San Francisco and Istanbul. We enable human and machine intelligence to work together!

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate Tazi?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.3/10 (Category avg: 8.3/10)

Who Is the Company Behind Tazi?

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of Tazi?

Ango Hub

For organizations driving advancements in traditional AI and generative AI, iMerit delivers comprehensive, software-delivered solutions that encompass high-quality data annotation, enrichment, and model fine-tuning across multimodal datasets, including text, images, audio, video, and sensor data. By combining state-of-the-art technology with human expertise, iMerit empowers businesses to develop precise AI models, from traditional supervised learning systems to cutting-edge generative AI applications. Unlike generic service providers, iMerit specializes in secure, scalable, and domain-specific solutions, enabling innovation and performance in the most demanding AI and machine learning initiatives. For developers of traditional AI applications iMerit provides best in class data annotation tooling, workflow automation and a highly skilled workforce within a single end-to-end solution. The unique combination of technology, talent and techniques produces the highest quality data in the industry for machine learning. For developers of Generative AI applications iMerit provides the tools, automation and domain experts for accurate model evaluation and fine turning. The solution combines the technology and human-in-the-loop domain experts for all forms of supervised reinforcement learning. Services include corpus creation, data augmentation, RLHF, RAG fine tuning, chain of thought reasoning and red-teaming for greater model precision. Visit www.imerit.net to learn more.

Average Rating: 4.8/5.0

Total Reviews: 11

How Do G2 Users Rate Ango Hub?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 10.0/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Ango Hub?

  • Seller: iMerit Technology
  • Year Founded: 2012
  • HQ Location: San Jose, California, United States
  • Twitter: @iMeritDigital
    1,654 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    6,415 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 25% Large

What Do G2 Reviewers Say About Ango Hub?

AI-generated summary from verified user reviews

Pros
  • Users value the AI integration capabilities of Ango Hub, enhancing their projects with synchronized, high-quality labeled data.
  • Users value the annotation efficiency of Ango Hub, enabling streamlined and synchronized labeling for complex AI/ML projects.
  • Users value the customization features of Ango Hub, facilitating tailored solutions for complex AI/ML annotation projects.
  • Users value the high-quality labeled data provided by Ango Hub, enhancing accuracy in their AI/ML projects.
  • Users appreciate Ango Hub's ability to manage high-quality labeled data effectively for complex AI/ML projects.
Cons
  • Users find the complexity of the platform may necessitate dedicated training to navigate effectively.
  • The steep learning curve of Ango Hub necessitates dedicated training for users to effectively navigate the platform.

What Are Recent G2 Reviews of Ango Hub?

What Are G2 Users Discussing About Ango Hub?

Chooch

Chooch makes cameras intelligent. The Chooch AI Vision platform combines the power of Generative AI and Computer Vision technology to help businesses gain real-time actionable insights from their video and visual data. Chooch's AI technology instantly detects specific visuals, objects, and actions in videos and images, including critical anomalies and instantly comprehends their significance, sending real-time alerts to business systems to initiate further action. It does this in a fraction of the time a human being could. Businesses use Chooch to automate repetitive, manual video review tasks, making searching video data more efficient and allowing businesses to reallocate human resources to higher value activities. Chooch is being used across many different applications including detecting retail theft, monitoring workplace safety, detecting weapons, monitoring self-check out, digital asset management, and more.

Average Rating: 4.0/5.0

Total Reviews: 3

How Do G2 Users Rate Chooch?

  • Application: 10.0/10 (Category avg: 8.5/10)
  • Managed Service: 10.0/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 10.0/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Chooch?

  • Seller: Chooch
  • Year Founded: 2015
  • HQ Location: San Mateo, California, United States
  • Twitter: @Chooch_AI
    1,714 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    69 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Are Recent G2 Reviews of Chooch?

FalkorDB

FalkorDB Database is an ultra-low latency Graph Database that perfects the Knowledge Graph for GraphRAG. Effectively overcoming the existing limitations of RAG for GenAI & Large Language Models (LLM).

Average Rating: 4.5/5.0

Total Reviews: 7

How Do G2 Users Rate FalkorDB?

  • Ease of Admin: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind FalkorDB?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of FalkorDB?

Fireflai

Fireflai® is a B2B SaaS Data platform that leverages proprietary Data Science, Machine Learning and Generative AI to transform product data operations. Fireflai® enables seamless ingestion, management and enrichment of complex catalogues and product master data - accelerating the onboarding, activation and continuous improvement of SKUs for Manufacturers, Distributors and Retailers. Fireflai can: - Ingest PIM/ERP extracts such as product and parts lists, taxonomies and lists of values - Enrich product lists with validated data, documents and images from unstructured supplier files, catalogues, metadata, even the web - Generate content such as descriptions, taglines, features & benefits, SEO tags - Cleanse, match and merge datasets to create a 'golden product dataset' - Classify and transform product data into required taxonomies for simple ERP/PIM import - Translate datasets into multiple languages

Average Rating: 4.5/5.0

Total Reviews: 5

How Do G2 Users Rate Fireflai?

  • Natural Language Understanding: 0.0/10 (Category avg: 8.3/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Fireflai?

  • Seller: Fireflai
  • Year Founded: 2023
  • HQ Location: Manchester , GB
  • LinkedIn® Page: www.linkedin.com
    14 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 60% Large, 20% Medium

What Do G2 Reviewers Say About Fireflai?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Fireflai, appreciating its intuitive design and efficient data processing capabilities.
  • Users appreciate the time-saving features of Fireflai, enabling quick data processing and efficient attribute collection.
  • Users commend Fireflai for its speedy performance in efficiently processing large data volumes and implementing changes rapidly.
  • Users commend the implementation ease of Fireflai, appreciating its quick setup and efficient handling of product attributes.
  • Users value the seamless automation capabilities of Fireflai, enabling quick delivery without integration issues.
Cons
  • Users report experiencing hallucination issues with Fireflai, necessitating double-checking results, particularly for images.
  • Users report inaccuracy issues, often needing to double-check results, particularly with image outputs from Fireflai.
  • Users experience inaccuracy issues with Fireflai, requiring double-checking of results, particularly for images.
  • Users note the occasional hallucinations in results, requiring them to double-check especially with image outputs.

What Are Recent G2 Reviews of Fireflai?

Forwrd

Struggling to keep your scoring models up to date every time marketing campaigns or product features are launched? Meet Forwrd, the easiest way to build accurate scoring models that literally become smarter every day, learning from new data in real time. Build a self-learning scoring model that automatically identifies new conversion-impacting factors in your data and updates itself, without any manual work. Scores can be pushed into the business apps employees use daily (e.g., SFDC, HubSpot, Slack) to enable frontline employees to focus on their best prospects and customers. ✅ No more manual updates to your scoring method as your marketing evolves. ✅ Your model gets smarter every day by learning from fresh data. ✅ Accurate scoring means focusing on your AAA leads. ✅ Connect your CRM, HubSpot, product analytics, ticketing system, and more! ✅ No need for analysts or data teams. There's a reason B2B SaaS leaders like Jasper.ai, AppsFlyer, and WalkMe use Forwrd to focus on their best leads, MQLs, PQLs, SQLs, and customers. – "4X more PQLs", PowToon – "48% more opportunities", AppsFlyer – "21% more qualified pipeline", Totango – "31% better retention", WalkMe

Average Rating: 4.8/5.0

Total Reviews: 32

How Do G2 Users Rate Forwrd?

  • Ease of Admin: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Forwrd?

  • Seller: Forwrd
  • Year Founded: 2021
  • HQ Location: Tel Aviv-Yafo, IL
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 66% Medium, 16% Large

What Do G2 Reviewers Say About Forwrd?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Forwrd, praising its intuitive interface and streamlined onboarding process.
  • Users love the ease of building machine learning models with Forwrd, allowing for quick iterations and accurate results.
  • Users commend Forwrd for its seamless onboarding and integration, alongside exceptional support and intuitive data analysis tools.
  • Users find Forwrd's intuitive dashboard incredibly helpful for easy model iteration and effective data quality assessment.
  • Users rave about the automation capabilities of Forwrd, enabling swift and efficient machine learning model creation without coding.
Cons
  • Users often face learning difficulties with unclear definitions and require assistance to fully utilize Forwrd's features.

What Are Recent G2 Reviews of Forwrd?

Graphext

Exploratory Data Analysis and Predictive Modelling. Faster and more powerful insights with no-code. On a mission to build the best no-code data analytics tool. More powerful than dashboards & more intuitive than notebooks. We allow non-technical people to explore their data, and help technical people save time.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate Graphext?

  • Application: 6.7/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 6.7/10 (Category avg: 8.3/10)

Who Is the Company Behind Graphext?

  • Seller: Graphext
  • Year Founded: 2017
  • HQ Location: Madrid, Community of Madrid, Spain
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of Graphext?

Harumi

Harumi.io is an AI platform for Operations Research. Our AI translates business rules from real-economy companies (manufacturing, retail, logistics) into mathematical models and writes the code that will be used to simulate customer scenarios and find the one in which resources are used as efficiently as possible. Learn more at https://harumi.io/.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate Harumi?

  • Application: 6.7/10 (Category avg: 8.5/10)
  • Managed Service: 10.0/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.3/10 (Category avg: 8.3/10)

Who Is the Company Behind Harumi?

  • Seller: Harumi
  • Year Founded: 2025
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    26 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Harumi?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated October 21, 2026