Best Data Science and Machine Learning Platforms - Page 5

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

Total Products under this Category: 1,649

Category Stats (Sep 2026)

  • Average Rating: 4.46/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Anyscale (+4.14%) - Among all products in this category, Anyscale recorded the largest rating increase compared to last month

Last updated: September 01, 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
  • 14,400+ Authentic Reviews
  • 1,649+ 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 Enterprise Agent Platform, SAS Viya, Google Cloud AutoML, Snowflake, IBM watsonx.data, Dataiku, and Hex.

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-enterprise-agent-platform&focus%5B%5D=sas-sas-viya&focus%5B%5D=google-cloud-automl&focus%5B%5D=snowflake&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=dataiku&focus%5B%5D=hex-tech-hex)

Qubole

Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data workload flexibility of Qubole while radically accelerating data lake adoption, reducing time to value, and lowering cloud data lake costs by 50 percent. Qubole’s Platform provides end-to-end data lake services such as cloud infrastructure management, data management, continuous data engineering, analytics, and machine learning with near-zero administration. Qubole is trusted by leading brands such as Expedia, Disney, Oracle, Gannett and Adobe to spur innovation and to transform their businesses for the era of big data. For more information, visit us at www.qubole.com.

Average Rating: 4.0/5.0

Total Reviews: 237

How Do G2 Users Rate Qubole?

  • Application: 8.1/10 (Category avg: 8.5/10)
  • Managed Service: 8.6/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.3/10 (Category avg: 8.3/10)
  • Ease of Admin: 7.6/10 (Category avg: 8.6/10)

Who Is the Company Behind Qubole?

  • Seller: Qubole
  • Year Founded: 2011
  • HQ Location: Santa Clara, CA
  • Twitter: @qubole
    9,425 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    24 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Data Scientist
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 51% Large, 44% Medium

What Are Recent G2 Reviews of Qubole?

What Are G2 Users Discussing About Qubole?

Akkio

Akkio is the AI platform that empowers media companies to lead the market with AI. By partnering with cutting-edge AI agents, media teams streamline the entire campaign lifecycle, delivering tailored results for every client. Built on an AI-first foundation with an intuitive interface, Akkio equips every team member with powerful intelligence, helping companies grow, teams thrive, and clients win.

Average Rating: 4.5/5.0

Total Reviews: 14

How Do G2 Users Rate Akkio?

  • Application: 9.3/10 (Category avg: 8.5/10)
  • Managed Service: 9.0/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.8/10 (Category avg: 8.3/10)
  • Ease of Admin: 9.4/10 (Category avg: 8.6/10)

Who Is the Company Behind Akkio?

  • Seller: Akkio Inc.
  • Year Founded: 2019
  • HQ Location: Cambridge, US
  • Twitter: @AkkioHQ
    5,355 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    57 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 64% Small, 14% Large

What Do G2 Reviewers Say About Akkio?

AI-generated summary from verified user reviews

Pros
  • Users find generative AI integration in Akkio incredibly helpful for enhancing their overall experience and productivity.
  • Users find generative AI extremely helpful when leveraging Akkio for enhanced machine learning capabilities.
Cons
  • Users express dissatisfaction with the insufficient learning resources available for Akkio, hindering their ability to maximize the platform.

What Are Recent G2 Reviews of Akkio?

DataCanvas

Beijing ZetYun Technology Co., Ltd. (DataCanvas) was founded in 2013, focusing on the continuous development and construction of automatic data science platform, focusing on providing a complete set of development platform for data scientists and AI practitioners, and providing comprehensive supporting services for intelligent upgrading and transformation of government and enterprises. DataCanvas is a Chinese company independently researched and developed. Relying on the domestic and overseas leading data science platform, DataCanvas has provided real-time and agile AI capability construction for customers in government, finance, aviation, manufacturing, transportation, education, real estate, Internet and other industries. Through the DataCanvas platform, it can provide automatic machine learning analysis and real-time computing capabilities and help business analysts and data scientists quickly cooperate in development, and realize automatic model creation, management and application support. To create greater value for customer business on cutting-edge technologies and solutions such as technological innovation and artificial intelligence. The company has outstanding data scientists and product R & D team and has front edge industry practice experience in automatic deep machine learning, data modeling, big data analysis and other fields. In 2020, with the original DeepTables open-source project, DataCanvas won the first place in the world in the Kaggle competition among more than 1100 teams including well-known e-commerce companies and search engine companies. Headquartered in Beijing and facing the whole country, it has branches in Shanghai, Shandong and Shenzhen.

Average Rating: 4.8/5.0

Total Reviews: 9

How Do G2 Users Rate DataCanvas?

  • Application: 9.4/10 (Category avg: 8.5/10)
  • Managed Service: 8.9/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.9/10 (Category avg: 8.3/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind DataCanvas?

Who Uses This Product?

  • Company Size: 50% Large, 30% Medium

What Are Recent G2 Reviews of DataCanvas?

What Are G2 Users Discussing About DataCanvas?

ILUM

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible.

Average Rating: 4.9/5.0

Total Reviews: 23

How Do G2 Users Rate ILUM?

  • Natural Language Understanding: 10.0/10 (Category avg: 8.3/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind ILUM?

  • Seller: Ilum
  • Company Website:
  • Year Founded: 2019
  • HQ Location: Santa Fe, US
  • Twitter: @IlumCloud
    19 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Telecommunications
  • Company Size: 52% Large, 35% Medium

What Do G2 Reviewers Say About ILUM?

AI-generated summary from verified user reviews

Pros
  • Users praise ILUM for its ease of use, with a clean UI and quick deployment enhancing productivity and workflow.
  • Users praise ILUM for its seamless integration, user-friendly interface, and excellent customer support, streamlining data management effectively.
  • Users value the seamless integrations of ILUM, enhancing productivity by connecting various systems and streamlining workflows.
  • Users love the ease of setup with ILUM, noting quick deployments and user-friendly interfaces that enhance productivity.
  • Users value the easy integrations of ILUM, enhancing their data workflows and simplifying complex processes effortlessly.
Cons
  • Users note that the complex setup of ILUM can be challenging, requiring time and effort to configure properly.
  • Users note the difficult setup of ILUM, requiring experimentation and digging for advanced configurations and integrations.
  • Users note the steep learning curve for new users, though intuitive daily use improves after initial setup.
  • Users note that the UX could be improved with more intuitive navigation and clearer configuration options.
  • Users find ILUM's complexity in advanced configurations may require time and effort to fully navigate and optimize.

What Are Recent G2 Reviews of ILUM?

Seldon

Seldon gets machine learning models to production faster, in the most reliable way. Front-end deployment of models, explainers and canaries means users can deploy ML models and testing can be done in live environments. Metrics and dashboards can monitor models to improve performance and rapidly communicate errors for easy debugging. Model explainers mean you can understand and adjust what features are influencing the model and anomaly detection can flag drifts in data.

Average Rating: 4.3/5.0

Total Reviews: 11

How Do G2 Users Rate Seldon?

  • Application: 8.3/10 (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: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Seldon?

  • Seller: Seldon
  • Year Founded: 2014
  • HQ Location: London, GB
  • Twitter: @seldon_io
    2,250 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    91 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 45% Large, 36% Small

What Are Recent G2 Reviews of Seldon?

What Are G2 Users Discussing About Seldon?

Telesign Intelligence

Intelligence is a machine learning (ML) powered solution that enables businesses to analyze static and behavioral attributes across multiple data inputs such as phone numbers, IP addresses, and email addresses. See product description below for more detail.

Average Rating: 4.4/5.0

Total Reviews: 7

How Do G2 Users Rate Telesign Intelligence?

  • 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)
  • Ease of Admin: 5.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Telesign Intelligence?

Who Uses This Product?

  • Company Size: 86% Medium, 43% Small

What Do G2 Reviewers Say About Telesign Intelligence?

AI-generated summary from verified user reviews

Pros
  • Users value the easy integrations of Telesign Intelligence, which seamlessly enhance security without sacrificing performance.
  • Users appreciate the efficiency of real-time fraud detection in Telesign Intelligence, enhancing security without compromising performance.
  • Users value the real-time fraud detection of Telesign Intelligence, which enhances security and prevents suspicious activities effectively.
  • Users admire the scalability of Telesign Intelligence, enabling seamless enhancements to security without sacrificing performance.
  • Users value the real-time fraud detection of Telesign Intelligence, enhancing security and preventing suspicious activities effectively.
Cons
  • Users find the difficult setup of Telesign Intelligence to be challenging due to insufficient documentation and a learning curve.
  • Users find the pricing to be expensive as usage scales, impacting overall value and budget considerations.
  • Users find insufficient learning resources challenging, making platform setup and advanced capabilities harder to utilize effectively.
  • Users find a steep learning curve with Telesign Intelligence, making setup and customization challenging without detailed documentation.

What Are Recent G2 Reviews of Telesign Intelligence?

Labellerr

Labellerr is a computer vision workflow automation platform. It helps ML teams to manage their AI development lifecycle much more efficiently. It helps teams to collaboratively work on data labeling tasks and have modules to manage multiple projects, users, and millions of unstructured data. Teams can perform- 1. Automated data curation 2. EDA (Exploratory Data Analysis) 3. Automated data labeling 4. Quality control with assurance 5. Automated QC 6. Model debugging Data types that it supports are images, videos, text, audio, and PDFs. Use cases it supports are object detection, segmentation, classification, image captioning, transcription, and translation. The active learning feature has helped users save 1000s USD per task. Labellerr recently launched LabelGPT which labels images using a prompt. It leverages the combination of generative AI models to label data in minutes rather than months.

Average Rating: 4.8/5.0

Total Reviews: 21

How Do G2 Users Rate Labellerr?

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

Who Is the Company Behind Labellerr?

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 57% Small, 38% Medium

What Do G2 Reviewers Say About Labellerr?

AI-generated summary from verified user reviews

Pros
  • Users commend the annotation efficiency of Labellerr, highlighting the quality and seamless collaboration it offers.
  • Users appreciate the excellent collaboration of Labellerr, highlighting the strong teamwork and high-quality annotations.
  • Users appreciate the responsive customer support of Labellerr, noting the team's constant availability for assistance.
  • Users commend the excellent annotation quality of Labellerr, enhancing accuracy and team collaboration.
  • Users commend the efficiency of Labellerr, highlighting teamwork and high-quality annotations that enhance productivity.
Cons
  • Users find the difficult setup process of Labellerr to be time-consuming and challenging for collaboration.

What Are Recent G2 Reviews of Labellerr?

Loxo

Loxo is the #1 Talent Intelligence Platform and global leader in recruiting software. The old-school, legacy ATS will not exist in 5 years. Loxo is the way of the future, managing the full recruitment life cycle through a single system-of-record software platform. It replaces your clunky legacy ATS and brings infinitely more to the table in the process. Because it shouldn't take 10+ tools to make one hire. Loxo's Talent Intelligence Platform includes: - A best-in-class ATS. - An AI-driven Recruiting CRM: Your recruitment database, which contains a combination of your data and Loxo's automatically-updating data to ensure you've always got the most accurate candidate information. - A multi-channel outreach tool with AI-powered campaign-building capabilities, so you never miss a follow-up. - A people and company search engine filled with over 1.2 billion people & millions of organizations. - Verified contact information like personal emails and cell phone numbers. - Instant AI sourcing, ranking, and matching thanks to Loxo's AI assistant, Copilot. Not to mention... Loxo is also the only recruitment software to feature a Sales CRM specifically designed for recruiters. You can conduct business development activities in the same place you do the rest of your workflow. The real win here? Each of these market-leading products are designed to work seamlessly together, making every step of your job more efficient and reducing room for error. More than 13,200 executive search, RPO, professional recruitment, and staffing teams across the globe have become hiring machines with Loxo. But what does that mean, exactly? - A 74% decrease in cost across the entire talent lifecycle, including costs to source and hire. - An 85% reduction in time-to-hire thanks to sourcing and workflow automation. - 98% customer satisfaction. But don't take our word for it. Check out our reviews to see how much our customers love working with Loxo.

Average Rating: 4.6/5.0

Total Reviews: 168

How Do G2 Users Rate Loxo?

  • 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: 8.9/10 (Category avg: 8.6/10)

Who Is the Company Behind Loxo?

  • Seller: Loxo
  • Year Founded: 2012
  • HQ Location: Austin, Texas
  • Twitter: @loxo
    71 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    154 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Founder, Managing Director
  • Top Industries: Staffing and Recruiting, Information Technology and Services
  • Company Size: 95% Small, 6% Medium

What Do G2 Reviewers Say About Loxo?

AI-generated summary from verified user reviews

Pros
  • Users love the intuitive and user-friendly interface of Loxo, making it easy and efficient to navigate.
  • Users praise the responsive support and user-friendly interface of Loxo, enhancing their overall experience significantly.
  • Users value the time-saving features of Loxo, making recruitment processes significantly more efficient and manageable.
  • Users value the responsive support and continuous updates of Loxo, enhancing usability and feature integration.
  • Users love Loxo's intuitive design, praising its seamless usability and superior integration of AI features.
Cons
  • Users find limited customization in Loxo, making it difficult to tailor the system to their specific needs.
  • Users find candidate management changes confusing and frustrating, leading to inefficiencies and a diminished overall experience.
  • Users express the need for improvements in functionality, communication, and usability across various features in Loxo.
  • Users often face email functionality issues with Loxo, leading to poor candidate communication and unreliable contact information.
  • Users find Loxo expensive and ineffective, facing issues with functionality that exacerbates wasted investment.

What Are Recent G2 Reviews of Loxo?

What Are G2 Users Discussing About Loxo?

Neural Designer

Neural Designer is a powerful software tool for developing and deploying machine learning models. It provides a user-friendly interface that allows users to build, train, and evaluate neural networks without requiring extensive programming knowledge. With a wide range of features and algorithms, Neural Designer simplifies the entire machine learning workflow, from data preprocessing to model optimization. In addition, it supports various data types, including numerical, categorical, and text, making it versatile for domains. Additionally, Neural Designer offers automatic model selection and hyperparameter optimization, enabling users to find the best model for their data with minimal effort. Finally, its intuitive visualizations and comprehensive reports facilitate interpreting and understanding the model's performance. Whether you are a beginner or an experienced data scientist, Neural Designer accelerates the development of accurate and efficient machine learning models.

Average Rating: 4.4/5.0

Total Reviews: 6

How Do G2 Users Rate Neural Designer?

  • Application: 8.7/10 (Category avg: 8.5/10)
  • Managed Service: 7.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 5.7/10 (Category avg: 8.3/10)

Who Is the Company Behind Neural Designer?

  • Seller: Artelnics
  • Year Founded: 2014
  • HQ Location: Villamayor, ES
  • Twitter: @artelnics
    803 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    7 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Are Recent G2 Reviews of Neural Designer?

What Are G2 Users Discussing About Neural Designer?

Oracle Data Science Cloud Service

Oracle Data Science Cloud Service enables data science teams to easily organize their work, access data and computing resources, and build, train, deploy, and manage models on the Oracle Cloud. The platform makes data science teams more productive, and enables them to deploy more work faster to power their organizations with machine learning.

Average Rating: 3.7/5.0

Total Reviews: 6

How Do G2 Users Rate Oracle Data Science Cloud Service?

  • Ease of Admin: 9.4/10 (Category avg: 8.6/10)

Who Is the Company Behind Oracle Data Science Cloud Service?

  • Seller: Oracle
  • Year Founded: 1977
  • HQ Location: Austin, TX
  • Twitter: @Oracle
    827,997 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    208,078 employees on LinkedIn®
  • Ownership: NYSE:ORCL

Who Uses This Product?

  • Company Size: 50% Medium, 33% Small

What Are Recent G2 Reviews of Oracle Data Science Cloud Service?

Palantir Gotham

Palantir Gotham is a commercially-available, AI-ready operating system that improves and accelerates decisions for operators across roles and all domains. For over a decade, Gotham has surfaced insights from complex data for global defense agencies, the intelligence community, disaster relief organizations, and beyond. Gotham joins and enriches massive volumes of near-real time data and presents them in a single view that enables users to make faster, more confident decisions, together. Decision makers from headquarters to the forward deployed edge access the most recent understanding of the world, and can act while accounting for global tradeoffs and dependencies.

Average Rating: 3.9/5.0

Total Reviews: 11

How Do G2 Users Rate Palantir Gotham?

  • Application: 9.2/10 (Category avg: 8.5/10)
  • Managed Service: 9.2/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.8/10 (Category avg: 8.3/10)

Who Is the Company Behind Palantir Gotham?

  • Seller: Palantir
  • HQ Location: Denver, US
  • Twitter: @PalantirTech
    425,595 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5,858 employees on LinkedIn®
  • Ownership: PLTR (NYSE)

Who Uses This Product?

  • Company Size: 42% Medium, 33% Large

What Are Recent G2 Reviews of Palantir Gotham?

What Are G2 Users Discussing About Palantir Gotham?

SAP Business Data Cloud

SAP Business Data Cloud is a fully managed software-as-a-service (SaaS) solution that unifies and governs SAP data and connects with third-party data. As an evolution of the company's data, planning, and analytics solutions, SAP Business Data Cloud brings together SAP Datasphere, SAP Analytics Cloud, and SAP Business Warehouse with a unified experience that delivers insights across all lines of business. In addition, SAP Databricks is natively available in Business Data Cloud - bringing the power of Databricks Data Intelligence Platform capabilities to the product. SAP Business Data Cloud connects data by leveraging business data fabric principles, making it easier to discover, share, govern, and model this data. It includes SAP Databricks as a first-party data service. The platform combines prebuilt applications and data products across all lines of business. It provides fully managed, curated data products across all lines of business and eliminate the costs of data extracts. Users can build on SAP’s curated data products with their domain expertise, and deliver Intelligent Applications through the Business Data Cloud ecosystem. These intelligent applications are adaptive, AI-powered applications that learn from your data, understand business context, and act on your behalf to transform business outcomes.

Average Rating: 4.2/5.0

Total Reviews: 74

How Do G2 Users Rate SAP Business Data Cloud?

  • Ease of Admin: 7.5/10 (Category avg: 8.6/10)

Who Is the Company Behind SAP Business Data Cloud?

  • Seller: SAP
  • Company Website:
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    141,955 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 39% Large, 29% Small

What Do G2 Reviewers Say About SAP Business Data Cloud?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of SAP Business Data Cloud, facilitating seamless data integration and smoother workflows.
  • Users value the business-ready semantic layer of SAP Business Data Cloud for its real-time, actionable data access.
  • Users value the seamless data integration capabilities of SAP Business Data Cloud for efficient data management and insights.
  • Users value the single, trusted view of data provided by SAP Business Data Cloud, streamlining daily operations effectively.
  • Users value the seamless data integration of SAP Business Data Cloud, enabling unified data access for enhanced decision-making.
Cons
  • Users find the complex setup process of SAP Business Data Cloud challenging, particularly in hybrid environments.
  • Users find that integration issues make setup complex and challenging, particularly in hybrid environments.
  • Users experience a difficult learning curve due to the complexity of advanced options and integration requirements.
  • Users highlight the high cost of SAP Business Data Cloud, which complicates budget management and may deter smaller organizations.
  • Users note a steep learning curve with SAP Business Data Cloud, making it challenging for beginners to utilize effectively.

What Are Recent G2 Reviews of SAP Business Data Cloud?

Limadata

Limadata is the real-time B2B data layer for AI agents and go-to-market teams. It connects sales, recruiting, and GTM workflows to fresh people, company, contact, and signal data through one unified API — built to plug directly into AI agents and agentic tools like Claude Code, Cursor, and MCP-based frameworks. Key Features and Functionality: - Find & Enrich: Search the global B2B graph by 95+ person attributes (role, seniority, location, skills) or 200+ company attributes (industry, size, tech stack, funding signals), then enrich any known email or domain into a complete profile. - People Enrichment: Get verified work emails, mobile numbers, social profiles, and employer firmographics for any individual. - Company Enrichment: Pull deep firmographic and technographic data — funding history, tech stack, headcount growth, SIC codes, and verified contact counts — for any domain. - Watch & Webhooks: Monitor people and companies for real-time changes (job moves, promotions, funding events, hiring spikes) with instant webhook delivery when something changes. - Multiple Integration Paths: Real-time REST API, push webhooks, bulk data licensing for internal data lakes or model training, and a native MCP server for agent frameworks. - Global Identity Graph: A continuously-resolved graph unifying millions of identities into a single, AI-ready data layer, indexing over a million events a day. Primary Value and Solutions Provided: Limadata solves the problem of AI agents and GTM tools running on stale, disconnected data. Rather than a data management/BI platform for internal analytics, it's an infrastructure layer that feeds live B2B intelligence directly into sales outbound, recruiting/talent sourcing, CRM enrichment, audience targeting, AI agent workflows, and investing/signal-tracking use cases. Teams use it to find the right people and companies, keep records fresh automatically, and get alerted the moment something meaningful changes — turning real-time web and B2B data into faster, better-informed action.

Average Rating: 5.0/5.0

Total Reviews: 5

Who Is the Company Behind Limadata?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Limadata?

Peak

Peak's AI platform optimizes inventories, pricing and customer personalization for businesses of all sizes. The platform provides a broad feature set that enables technical and commercial teams to build, deploy and manage AI applications at scale across an entire business. It also features a library of AI applications that fit a variety of use cases across sectors including consumer goods, retail and manufacturing. These applications allow users to rapidly apply AI to deliver on commercial objectives, while giving them the tools they need to extend their use of it over time.

Average Rating: 4.6/5.0

Total Reviews: 5

How Do G2 Users Rate Peak?

  • 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: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Peak?

  • Seller: Peak
  • Year Founded: 2015
  • HQ Location: Greater Manchester, England, United Kingdom
  • Twitter: @Peak_HQ
    6,565 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    290 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 80% Large, 20% Medium

What Do G2 Reviewers Say About Peak?

AI-generated summary from verified user reviews

Pros
  • Users benefit greatly from Peak's AI integration, particularly with its advanced modules for inventory and customer management.
  • Users value the customizability of Peak, allowing tailored solutions like AI for inventory management and customer segmentation.
  • Users appreciate the pre-built AI applications in Peak for streamlining inventory management and customer segmentation.
  • Users benefit greatly from the AI-driven inventory management features of Peak, enhancing efficiency and understanding customer needs.
  • Users commend the effective AI platform of Peak, praising its tailored modules for inventory and customer management.
Cons
  • Users find that complex automation limits flexibility, making it hard to tailor solutions to business needs.
  • Users find the algorithmic automation limits Peak's flexibility, making it challenging to tailor to specific business needs.
  • Users face data management issues due to limited flexibility and automation, impacting customization for specific business needs.
  • Users note the limited flexibility of Peak, making it challenging to customize for specific business needs.
  • Users find the lack of flexibility in Peak limits its adaptability to specific business needs and data assets.

What Are Recent G2 Reviews of Peak?

What Are G2 Users Discussing About Peak?

PhysicsX

PhysicsX is an AI-native engineering platform designed to revolutionize the entire product lifecycle by integrating advanced artificial intelligence into design, manufacturing, and operational processes. By combining rapid AI-driven physics inference with traditional numerical simulations, PhysicsX enables enterprises to accelerate development, reduce risks, and create highly optimized products across critical industrial sectors such as aerospace, automotive, semiconductors, materials, and energy. Key Features and Functionality: - Simulation Workbench: A unified system for managing and orchestrating simulations, facilitating efficient handling of experimental and operational data, including 2D/3D analysis, transformation, labeling, and data lineage. - AI Workbench: An environment dedicated to the development and deployment of Deep Physics Models (DPMs), offering advanced model architectures, optimization tools, built-in uncertainty quantification, and benchmarking capabilities. - Engineering Applications: Intuitive, no-code solutions that allow engineers and technicians to seamlessly deploy AI-powered applications for optimization and process control. - Enterprise-Ready Infrastructure: Features multi-cloud scalability, integration with Computer-Aided Engineering (CAE) software, and robust security measures to protect critical intellectual property. Primary Value and User Solutions: PhysicsX addresses the challenges of slow and costly simulations, fragmented workflows, and the loss of valuable engineering insights. By providing fast, accessible digital engineering solutions supported by deep domain expertise, the platform enables: - Reduced Time to Market: Significantly cuts simulation run times from hours to seconds, accelerating design cycles, optimizing processes, and boosting manufacturing throughput. - Maximized Performance: Enhances the performance of components and systems across multi-physics domains by leveraging simulation and real-world data. - Knowledge Capture: Builds reusable AI and simulation assets that compound over time, fostering continuous improvement and innovation. - Improved Collaboration: Unifies workflows across domains and teams, enabling deep collaboration and innovation at scale. By integrating AI across the engineering lifecycle, PhysicsX empowers organizations to achieve breakthroughs in performance, efficiency, and speed, transforming how products are designed, manufactured, and operated.

Average Rating: 4.6/5.0

Total Reviews: 5

How Do G2 Users Rate PhysicsX?

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

Who Is the Company Behind PhysicsX?

Who Uses This Product?

  • Company Size: 60% Small, 40% Medium

What Are Recent G2 Reviews of PhysicsX?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated April 22, 2026