Best Data Science and Machine Learning Platforms - Page 8

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

Total Products under this Category: 1,648

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
  • 14,700+ Authentic Reviews
  • 1,648+ 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, Snowflake, MATLAB, 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=snowflake&focus%5B%5D=matlab&focus%5B%5D=dataiku)

Synopsis

What Synopsis is Synopsis is a complete, AI-native data warehouse platform for mid-market companies. Synopsis replaces the traditional five-tool data stack — ingestion and ETL, cloud data warehouse, transformation and modeling, semantic layer, and BI and alerting — with one platform that goes live in 48 hours. Synopsis is built for companies that need a data warehouse but do not have, and do not want to hire, a data engineering team. Most data warehouse projects fail on people and time, not technology. Synopsis is designed around that fact: the Synopsis team performs the entire implementation, connects the source systems, rebuilds existing reports, and hands over a working warehouse. Hour 0, Synopsis connects the systems. Hour 24, Synopsis rebuilds the reports. Hour 48, the customer is live. What Synopsis includes Synopsis includes ten capabilities that are normally bought as separate products: Connectors and ingestion — Synopsis connects to 500+ sources on day one through APIs, databases, and files. For non-standard systems, Synopsis reads the API's own documentation and builds the custom connector with AI. Modeling and entity resolution — Synopsis turns raw events into clean, linked entities, joining records across systems on shared keys. Semantic layer — Synopsis defines and enforces metric definitions so every team reads the same numbers. Chat and ad-hoc analysis — Synopsis answers questions asked in plain English, with results traceable back to the source table. Dashboards and BI — Synopsis builds dashboards from a single prompt, each one traced to its source. Data apps — Synopsis runs live operational apps that teams work from directly. Workflows and automations — Synopsis watches data and acts on what changes, including automated alerts. Data science — Synopsis generates notebooks and forecasts. Integrations — Synopsis delivers data into Excel, Google Sheets, Slack, and AI tools over MCP. Security and compliance — Synopsis is SOC 2 Type II audited, and customer data lands in the customer's own warehouse. Who Synopsis is for Synopsis is used by mid-market companies, typically between $25 million and $200 million in revenue, and by private equity firms deploying it across portfolio companies. Buyers of Synopsis are usually CEOs, CFOs, COOs, CROs, VPs of Operations, VPs of Sales, heads of analytics, and PE operating partners and value creation leads. Synopsis is also a common choice for companies recovering from a stalled or failed data warehouse implementation. Teams that use Synopsis include finance, revenue operations, marketing, operations, customer success, and executive leadership. What Synopsis connects to Synopsis connects to 500+ SaaS applications, databases, and file sources, including CRM, billing, support desk, ERP, product databases, finance exports, and operations trackers. Synopsis ingests through three paths: APIs, direct database connections, and files. Synopsis delivers answers into the tools teams already use. In Excel, Synopsis provides the SYNOPSIS.QUERY, SYNOPSIS.TABLE, and SYNOPSIS.LOOKUP formulas for live warehouse data. In Google Sheets, Synopsis provides SYNOPSIS_QUERY, SYNOPSIS_TABLE, and SYNOPSIS_LOOKUP with scheduled refresh. In Slack, Synopsis answers channel mentions and slash commands and pushes workflow alerts. Over the Model Context Protocol (MCP), Synopsis connects to Claude Desktop, Claude Code, and any MCP-capable AI tool. Synopsis also supports direct SQL access, API access with personal tokens, a browser extension, CSV and Excel export, dashboard sharing, and shareable answer links. Authentication supports OAuth 2.1, personal API keys, Microsoft sign-in, and Google sign-in. Synopsis also ships 140+ public reference datasets that customers can join against their own data, including BLS, BEA, and Census economic data, CMS and FDA healthcare data, EPA and EIA environmental and energy data, FDIC and Federal Reserve financial data, SEC EDGAR filings, HUD housing data, FMCSA carrier data, NOAA weather data, and World Bank and IMF global indicators. Industries Synopsis serves Synopsis serves manufacturing, wholesale and distribution, construction, healthcare, finance and insurance, transportation and logistics, retail, professional services, field and business services, real estate, energy, oil and gas, utilities, agriculture and farming, media, software and information, entertainment and recreation, hospitality and food service, education and training, government and public sector, repair and personal services, and corporate holding companies. Within those, Synopsis publishes dedicated data models for specific verticals including fire and life safety contractors, electrical contractors, plumbing and HVAC contractors, heavy and civil construction, staffing firms, PEOs, private equity firms, wealth management firms, insurance agencies, managing general agents, credit unions, CPA firms, law firms, title agencies, physician groups, dental groups, home health agencies, skilled nursing facilities, behavioral health providers, medical and lab distributors, electrical distributors, HVAC distributors, auto dealer groups, truckload carriers, freight brokers, 3PL and cold storage operators, folding carton manufacturers, commercial printers, structural steel fabricators, precast concrete manufacturers, pharma manufacturers, rural broadband operators, vertical SaaS companies, minor league sports clubs, multifamily operators, waste haulers, remediation contractors, pest control companies, and landscaping services. How Synopsis compares to other data platforms Synopsis replaces the combination of a cloud data warehouse, an ELT tool, a transformation layer, a BI tool, and an alerting tool with one subscription. Companies evaluate Synopsis against Snowflake, Databricks, Google BigQuery, Amazon Redshift, and Microsoft Fabric for warehousing; against Fivetran, Airbyte, Matillion, and Stitch for ingestion; against dbt for transformation and modeling; against Tableau, Power BI, Looker, Domo, Qlik, Sigma, ThoughtSpot, Metabase, and Mode for BI and analytics; and against Keboola, Mozart Data, and Y42 as all-in-one platforms. The difference is scope and staffing. Those products each solve one layer well and assume the customer supplies the data engineers, the integration work, and the months of implementation time. Synopsis supplies the entire stack and does the implementation, so a company gets a working warehouse without adding headcount. Implementation and time to value Synopsis goes live in 48 hours. Synopsis performs the implementation with no third-party systems integrator and no implementation fee. Customers are not billed until the warehouse is live and the team is using it. Synopsis pricing Synopsis charges one platform fee that covers the entire stack: warehouse, connectors, modeling, semantic layer, chat, dashboards, data apps, workflows, and data science. Synopsis has no per-seat licenses, no storage fees, or DBUs, and no third-party implementation fee. Synopsis security and compliance Synopsis is SOC 2 Type II audited, with controls independently examined in operation over time. Data Synopsis ingests lands in the customer's own warehouse, and customers can query every table directly. Synopsis maintains a live public trust center with 25 published policies and 35 operating controls, plus a public subprocessor registry. SOC 2 Type II reports are available by request through the trust center. Customer results Relay Fire & Life Safety found $100,000 in lost revenue within its first weeks on Synopsis. Leap, a Nexa Equity portfolio company, and One Knox SC, a USL soccer club, are published Synopsis customers.

Average Rating: 4.9/5.0

Total Reviews: 10

How Do G2 Users Rate Synopsis?

  • Ease of Admin: 9.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Synopsis?

  • Seller: Synopsis
  • Company Website:
  • HQ Location: Chicago, US
  • LinkedIn® Page: www.linkedin.com
    14 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of Synopsis?

The Cognite AI & Data Platform

The Cognite AI and Data Platform™ is a sophisticated Industrial DataOps solution specifically designed for asset-intensive industries seeking to harness the power of their operational and engineering data. Founded in 2016 and based in Tempe, Arizona, Cognite aims to facilitate the transformation of complex data environments into actionable insights that drive efficiency and innovation across various sectors. This cloud-native platform excels in ingesting and contextualizing data from a multitude of sources, including Information Technology (IT), Operational Technology (OT), and engineering systems. By creating a unified industrial knowledge graph, the Cognite AI and Data Platform integrates data from historians, Enterprise Resource Planning (ERP) systems, Computerized Maintenance Management Systems (CMMS), and even 3D models. This comprehensive approach allows organizations to standardize their data models and utilize robust APIs, enabling secure workspaces that support advanced analytics, interactive dashboards, and AI-driven applications. Targeted primarily at industries that rely heavily on operational data, such as manufacturing, energy, and utilities, the Cognite AI and Data Platform addresses specific use cases that enhance productivity and operational efficiency. For instance, organizations can leverage the platform for production optimization, where real-time data insights lead to improved throughput and reduced operational bottlenecks. Additionally, the platform supports predictive maintenance initiatives, allowing companies to anticipate equipment failures before they occur, thereby minimizing downtime and associated costs. Key features of the Cognite AI and Data Platform include its ability to transform fragmented data into a trusted and contextual foundation, which is crucial for making informed decisions. By providing a centralized repository of data, users gain full ownership and control over their information, facilitating compliance and security. Moreover, the platform’s scalability enables organizations to implement AI initiatives that can evolve with their operational needs, ensuring that they remain competitive in a rapidly changing industrial landscape. Overall, the Cognite AI and Data Platform stands out in the DataOps category by offering a comprehensive solution that not only integrates disparate data sources but also empowers organizations to unlock the full potential of their industrial data. Through its focus on contextualization and user-friendly interfaces, it provides significant value to companies looking to enhance their operational capabilities and drive long-term growth.

Average Rating: 4.9/5.0

Total Reviews: 5

Who Is the Company Behind The Cognite AI & Data Platform?

  • Seller: Cognite
  • Company Website:
  • Year Founded: 2016
  • HQ Location: Tempe, Arizona, United States
  • LinkedIn® Page: www.linkedin.com
    924 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 80% Large, 20% Small

What Are Recent G2 Reviews of The Cognite AI & Data Platform?

Analance Platform

Combining Data Science, Business Intelligence, and Data Management Capabilities in One Integrated, Self-Serve Platform. Analance is a robust, salable end-to-end platform that combines Data Science, Advanced Analytics, Business Intelligence, and Data Management into one integrated self-serve platform. It is built to deliver core analytical processing power to ensure data insights are accessible to everyone, performance remains consistent as the system grows, and business objectives are continuously met within a single platform. Analance is focused on turning quality data into accurate predictions allowing both data scientists and citizen data scientists with point and click pre-built algorithms and an environment for custom coding. THE ANALANCE PLATFORM: • Delivers an end-to-end enterprise analytics platform with a strong focus on turning quality data into accurate predictions from one integrated self-serve platform. • Provides a platform for both data scientists and citizen data scientists with point and click pre-built algorithms and an environment for custom coding. • Offers an intuitive UI with guided workflows to enable both data scientists and citizen data scientists to master the platform in minutes. • Unifies multiple tools required for data analysis into one integrated platform to deliver insights with accuracy and quality. Product Capabilities • Analance Data Management (ADM): Extract, Transform and Load (ETL) tool to clean and transform data for analysis. • Analance Advanced Analytics (AAA): Predict based on trained Machine Learning (ML) Models. • Analance Business Intelligence (ABI): Deploy trained models from AAA into ABI for visualizations. • Analance Internet of Things (AIoT): Connect to streaming sources for real-time analytics and visualization. • Analance Artificial Intelligence (AAI): Next generation inference engine for prescriptive analytics. Key Features: • Get a demo of Analance or take it for a 30-day test drive. • Seamless Data Integration • Data Cleaning and Transformation • Predictive Analytics and Trends • Real-time Analytics • Prescriptive Analytics • Text and Sentiment Analytics • Social Analytics • Business Intelligence and Reporting • Interactive Visualization • Self-Serve Capability • Sign-Sign On to Access All Platforms within Analance

Average Rating: 5.0/5.0

Total Reviews: 2

Who Is the Company Behind Analance Platform?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Analance Platform?

What Are G2 Users Discussing About Analance Platform?

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Appier AIXON

AIXON is a data science platform that unifies and enriches existing customer data to help you better understand your audience and run AI models to easily predict their future actions. Streamline Your Data From Different Sources AIXON creates a 360-degree view of your audience by unifying data across all platforms like apps, websites and CRM, and enriches your audience profiles with Appier’s unique cross-screen technology. Predict Customers' Future Actions in Real Time Powered by the scenario-based prediction with Auto-ML models, AIXON allows you to predict specific actions of your audience in real time, from conversions to churn and even the likelihood of users visiting a certain webpage. Generate Actionable Insights With Explainable AI AIXON’s explainable AI enables our customers to understand the rationale of our AI-driven decisions. AIXON is capable of textually and visually showing the most important variables to describe why certain decisions are made. The ability to explain the factors underlying the AI’s analysis is key to fostering trust in Appier’s AI technology, and avoid it being viewed as a mere “black box." Achieve Seamless Customer Engagement AIXON seamlessly integrates with your existing owned and paid channels, allowing you to amplify omnichannel marketing on AI-powered insights and ensure optimum customer experience. Boost Conversions With RFM AIXON automatically configures your audience segments into three most critical dimensions of attributes, RFM (Recency, Frequency, and Monetary), to help you better understand customer intent and take targeted actions to realize customers’ full profit potential.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate Appier AIXON?

  • 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: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Appier AIXON?

  • Seller: Appier
  • Year Founded: 2012
  • HQ Location: Taipei, Taiwan
  • Twitter: @GoAppier
    1,230 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    862 employees on LinkedIn®
  • Ownership: TYO: 4180

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Appier AIXON?

What Are G2 Users Discussing About Appier AIXON?

C3 AI Suite

C3 Ex Machina allows you to fuse together and visually explore data across multiple datasets to build smart customer segments, predict asset failure, and understand your future business needs.

Average Rating: 4.3/5.0

Total Reviews: 2

How Do G2 Users Rate C3 AI Suite?

  • Ease of Admin: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind C3 AI Suite?

  • Seller: C3.ai
  • Year Founded: 2009
  • HQ Location: Redwood City, CA
  • Twitter: @C3IoT
    76 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,049 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Are Recent G2 Reviews of C3 AI Suite?

What Are G2 Users Discussing About C3 AI Suite?

Darwin

Darwin is an automated model building product that allows you to move from data to model deployment in less time than traditional methods, enabling the rapid prototyping of scenarios and productive extraction of insights.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate Darwin?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 9.2/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.3/10 (Category avg: 8.3/10)

Who Is the Company Behind Darwin?

  • Seller: Avathon
  • Year Founded: 2013
  • HQ Location: Austin, Texas
  • LinkedIn® Page: www.linkedin.com
    263 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Large

What Do G2 Reviewers Say About Darwin?

AI-generated summary from verified user reviews

Pros
  • Users value the collaboration features of Darwin, facilitating seamless integration across HR operations and recruitment.
  • Users enjoy the streamlined and customizable interface of Darwin, making it easy for team members to adapt.
  • Users find Darwin's easy integrations beneficial for seamless end-to-end HR and recruitment solutions.
  • Users value the flexibility of Darwin, allowing customization and ease of use for all team members.
  • Users appreciate the streamlined and customizable interface of Darwin, making it easy and appealing for team use.
Cons
  • Users find the complexity from the hiring perspective makes the platform less user-friendly and less interactive.
  • Users find Darwin to have a lack of user-friendly features, making the hiring process feel overly complex.
  • Users find that the platform has a slow loading issue occasionally, but support can help resolve this quickly.
  • Users feel Darwin can be more user-friendly and interactive, as it sometimes seems complex from a hiring perspective.

What Are Recent G2 Reviews of Darwin?

Deci AI

Advancements in AI, powered by deep learning, have triggered groundbreaking innovations. But, long development cycles, high compute costs, and poor inference performance are making it almost impossible for enterprises to productize AI. At Deci, we realized that the solution lay in harnessing the AI itself.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate Deci AI?

  • 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)

Who Is the Company Behind Deci AI?

  • Seller: Deci AI
  • Year Founded: 2019
  • HQ Location: Tel Aviv, IL
  • LinkedIn® Page: www.linkedin.com
    25 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Do G2 Reviewers Say About Deci AI?

AI-generated summary from verified user reviews

Pros
  • Users find Deci AI to be fast and easy to use, making AI development and deployment seamless and efficient.
  • Users value the easy integrations with Deci AI, simplifying the process of deploying AI solutions across platforms.
  • Users commend the performance gains from Deci AI, enhancing productivity and streamlining processes effectively.
  • Users value the fast processing capabilities of Deci AI, enhancing efficiency in AI model deployments.
  • Users commend the innovative technology of Deci AI, enhancing their workflows and pushing the boundaries of performance.
Cons
  • Users find the initial implementation complex, suggesting a Guided Setup would enhance accessibility for beginners.
  • Users find the difficult setup of Deci AI complex, especially for beginners, and desire a guided setup feature.
  • Users find the initial implementation challenging, suggesting that a Guided Setup would greatly enhance usability.

What Are Recent G2 Reviews of Deci AI?

Deep.BI

Deep.BI measures content consumption metrics and provides user engagement scoring to power publisher's content delivery, marketing tools and paywalls to grow, engage and retain audiences. Deep.BI collects all kinds of raw event data related to publishing, like reader’s behavior and content performance, and analyzes this data in real-time (sub-second latency between ingestion and data visualization). By collecting first-party raw data (no sampling & no aggregation), publishers get unprecedented flexibility in building their own metrics, reports, and different strategies for different kinds of content. This also allows publishers to quickly test hypotheses on both live and historical data. These dashboards and reports are shareable and customizable across teams making the workload on the analysts much lighter and gives them the ability to deliver what they want to deliver in the way they want and in lightning speeds!

Average Rating: 4.4/5.0

Total Reviews: 10

How Do G2 Users Rate Deep.BI?

  • 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 Deep.BI?

  • Seller: Deep.BI
  • Year Founded: 2016
  • HQ Location: San Francisco, California
  • Twitter: @_DeepBI
    962 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 40% Medium

What Do G2 Reviewers Say About Deep.BI?

AI-generated summary from verified user reviews

Pros
  • Users value the real-time actionable insights from Deep.BI, enhancing their ability to make informed business decisions.
  • Users value the real-time actionable insights from Deep.BI, enhancing their understanding of customer interactions and preferences.
  • Users value the real-time actionable insights from Deep.BI, enabling quick and informed decision-making for their businesses.
  • Users value the real-time actionable insights from Deep.BI, enhancing understanding of customer interactions and choices.
  • Users find Deep.BI's automation capabilities incredibly useful for efficiently processing large datasets and creating insightful dashboards.
Cons
  • Users find the coding difficulty in Deep.BI challenging, which can hinder their overall experience.
  • Users find the interface confusing, making it challenging for non-technical users to navigate effectively.
  • Users find the UI/UX not intuitive for layman users, causing difficulties in navigating the platform.
  • Users find the UI/UX design lacking, making it challenging for non-expert users to navigate effectively.
  • Users feel the UI design is poor, making it difficult for non-tech savvy individuals to navigate Deep.BI.

What Are Recent G2 Reviews of Deep.BI?

What Are G2 Users Discussing About Deep.BI?

GGML

GGML is a tensor library for machine learning, enabling complex models on regular hardware.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate GGML?

  • Application: 9.2/10 (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 GGML?

Who Uses This Product?

  • Company Size: 50% Small, 50% Medium

What Are Recent G2 Reviews of GGML?

Gurobi Optimizer

With the Gurobi Optimizer, you can identify provably optimal solutions to the world’s most complex problems—including linear, nonlinear, and quadratic problems—using any combination of continuous and integer variables. Our user-friendly functionalities include multiple objectives, multiple scenarios, solution pools, general constraints, infeasibility analysis, a partition heuristic, Python matrix API, and more—all backed by our 100% PhD-level expert support. Plus, Gurobi is always free for students, faculty, researchers, and even recent graduates. Founded in 2008, Gurobi has operations in the Americas, Europe, and Asia. It serves customers across 40+ industries, including organizations like SAP, Air France, and the National Football League. Discover the Gurobi difference at gurobi.com.

Average Rating: 4.6/5.0

Total Reviews: 21

How Do G2 Users Rate Gurobi Optimizer?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 0.0/10 (Category avg: 8.3/10)

Who Is the Company Behind Gurobi Optimizer?

  • Seller: Gurobi
  • Year Founded: 2008
  • HQ Location: Beaverton, OR
  • Twitter: @gurobi
    5,050 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    212 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 52% Large, 24% Medium

What Are Recent G2 Reviews of Gurobi Optimizer?

What Are G2 Users Discussing About Gurobi Optimizer?

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?

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?

Obviously AI

Obviously AI is the fastest and easiest automated machine learning software that enables anyone to build predictive AI models in minutes, without writing code. All you do is connect your historical data, click a couple of buttons and your predictive AI models will be ready to use in just a matter of minutes. You can share these predictions with your team, simulate what-if scenarios and use our APIs to integrate with your everyday apps & services and automatically take action in real time.

Average Rating: 4.0/5.0

Total Reviews: 4

Who Is the Company Behind Obviously AI?

Who Uses This Product?

  • Company Size: 50% Small, 50% Medium

What Are Recent G2 Reviews of Obviously AI?

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