Best Enterprise Data Fabric Software

How Many Data Fabric Software Products Does G2 Track?

Total Products under this Category: 85

Category Stats (Nov 2026)

  • Average Rating: 4.34/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Palantir Gotham (+1.41%) - Among all products in this category, Palantir Gotham recorded the largest rating increase compared to last month

Last updated: November 12, 2026

How Does G2 Rank Data Fabric Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 2,300+ Authentic Reviews
  • 85+ 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 Fabric Software

G2 Grid® for Data Fabric Software plotting products by satisfaction and market presence

Highlighted products: ServiceNow Workflow Data Fabric, SAP Datasphere, Palantir Foundry, Informatica Data Integration and Engineering, K2View, IBM Cloud Pak for Data, Cloudera, and Timextender.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-fabric/grids.json?focus%5B%5D=servicenow-workflow-data-fabric&focus%5B%5D=sap-datasphere&focus%5B%5D=palantir-foundry&focus%5B%5D=informatica-data-integration-and-engineering&focus%5B%5D=k2view&focus%5B%5D=ibm-cloud-pak-for-data&focus%5B%5D=cloudera&focus%5B%5D=timextender&segment=enterprise)

ServiceNow Workflow Data Fabric

Workflow Data Fabric is the AI‑ready data foundation of the ServiceNow AI Platform. It connects to any data—structured, unstructured, and streaming—contextualizes it with business meaning and governance, and controls it with lineage and policies so employees and AI agents can confidently act on real‑time information to prevent disruptions, resolve requests faster, and optimize operations—all on one platform. How Workflow Data Fabric turns data into instant action Connect Unify data from systems like Salesforce, SAP, Workday, data lakes, and event streams in real time without duplication or fragile point‑to‑point integrations. With Zero Copy Connectors, Stream Connect, External Content Connectors, and Integration Hub, Workflow Data Fabric simplifies architecture and cuts integration cost and time. Contextualize Give data business meaning and make it trustworthy with an active Data Catalog, embedded governance, and lineage. Use Knowledge Graph to map relationships (e.g., customers, assets, orders) so AI agents and workflows understand context and make accurate decisions in the flow of work. Control Apply policies, permissions, and compliance guards across connected sources so the right people and AI agents access the right data, at the right time, with full auditability and traceability—no more shadow copies or opaque pipelines.

Average Rating: 4.3/5.0

Total Reviews: 153

How Do G2 Users Rate ServiceNow Workflow Data Fabric?

  • Governance: 8.7/10 (Category avg: 8.9/10)
  • Data Integration: 9.2/10 (Category avg: 8.9/10)
  • Ease of Use: 8.1/10 (Category avg: 8.7/10)
  • Data Protection: 8.8/10 (Category avg: 9.0/10)

Who Is the Company Behind ServiceNow Workflow Data Fabric?

  • Seller: ServiceNow
  • Company Website:
  • Year Founded: 2004
  • HQ Location: Santa Clara, CA
  • LinkedIn® Page: www.linkedin.com
    35,078 employees on LinkedIn®
  • Ownership: NYSE:NOW

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 46% Large, 28% Medium

What Do G2 Reviewers Say About ServiceNow Workflow Data Fabric?

AI-generated summary from verified user reviews

Pros
  • Users find ServiceNow's ease of use enhances workflow management, allowing seamless integration and automation with minimal effort.
  • Users value the seamless integrations of ServiceNow Workflow Data Fabric, enhancing collaboration and streamlining processes across departments.
  • Users appreciate the low-code automation of ServiceNow Workflow Data Fabric, simplifying integrations and enhancing workflow management.
  • Users value the efficiency improvement from ServiceNow Workflow Data Fabric, enhancing operations and reducing manual effort significantly.
  • Users value the unified data access of ServiceNow Workflow Data Fabric, enhancing efficiency and simplifying decision-making across workflows.
Cons
  • Users find the complex setup of ServiceNow Workflow Data Fabric challenging, requiring significant time and expertise for proper configuration.
  • Users find the difficult setup of ServiceNow Workflow Data Fabric time-consuming and challenging, impacting accessibility and integration.
  • Users find the pricing quite expensive, making it challenging for smaller teams to justify the costs.
  • Users experience slow performance when handling large datasets, impacting efficiency and responsiveness during data operations.
  • Users find the complexity of learning and managing features in ServiceNow Workflow Data Fabric challenging for new users.

What Are Recent G2 Reviews of ServiceNow Workflow Data Fabric?

SAP Datasphere

SAP Datasphere is a unified service for data integration, cataloging, semantic modeling, data warehousing, and virtualizing workloads across all your data. It enables every data professional to deliver seamless and scalable access to mission-critical business data. SAP Datasphere, and its open data ecosystem, is the foundation for a business data fabric.

Average Rating: 4.2/5.0

Total Reviews: 162

How Do G2 Users Rate SAP Datasphere?

  • Governance: 8.0/10 (Category avg: 8.9/10)
  • Data Integration: 8.7/10 (Category avg: 8.9/10)
  • Ease of Use: 8.1/10 (Category avg: 8.7/10)
  • Data Protection: 8.1/10 (Category avg: 9.0/10)

Who Is the Company Behind SAP Datasphere?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP
  • Phone: +1 (800) 872-1727

Who Uses This Product?

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

What Do G2 Reviewers Say About SAP Datasphere?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of SAP Datasphere, finding it accessible and intuitive for analytics tasks.
  • Users highly value SAP Datasphere's seamless integration capabilities, enhancing data unification and analytics across various systems.
  • Users appreciate the unified data management of SAP Datasphere, enhancing governance and speeding up reliable insights delivery.
  • Users value the seamless integration and real-time insights of SAP Datasphere, enhancing decision-making and collaboration effectively.
  • Users value SAP Datasphere's seamless collaboration across systems, making data integration and insights delivery much more efficient.
Cons
  • Users experience slow performance in SAP Datasphere, particularly with large datasets and complex transformations.
  • Users find SAP Datasphere to be quite expensive, particularly challenging for smaller projects and teams.
  • Users experience performance issues with SAP Datasphere, noting inconsistencies and slowness with complex models and large datasets.
  • Users experience significant integration issues with SAP Datasphere, complicating data management and performance optimization.
  • Users find the complex setup of SAP Datasphere challenging, often struggling with vague error messages and tedious documentation.

What Are Recent G2 Reviews of SAP Datasphere?

What Are G2 Users Discussing About SAP Datasphere?

Palantir Foundry

Foundry is a transformative data platform built to help solve the modern enterprise’s most critical problems by creating a central operating system for an organization’s data, while securely integrating siloed data sources into a common analytics and operations picture. Palantir works with commercial companies and government organizations alike to close the operational loop, feeding real-time data into your data science models and updating source systems. With a breadth of industry-leading capabilities, Palantir can help enterprises traverse and operationalize data to enable and scale decision-making, alongside best-in-class security, data protection, and governance. Foundry was named by Forrester as a leader in the The Forrester Wave™: AI/ML Platforms, Q3 2022. Scoring the highest marks possible in product vision, performance, market approach, and applications criteria. As a Dresner-Award winning platform, Foundry is the overall leader in the BI and Analytics market and rated a perfect 5/5 by its customer base.

Average Rating: 4.2/5.0

Total Reviews: 31

How Do G2 Users Rate Palantir Foundry?

  • Governance: 9.0/10 (Category avg: 8.9/10)
  • Data Integration: 8.8/10 (Category avg: 8.9/10)
  • Ease of Use: 8.3/10 (Category avg: 8.7/10)
  • Data Protection: 9.2/10 (Category avg: 9.0/10)

Who Is the Company Behind Palantir Foundry?

  • Seller: Palantir
  • HQ Location: Denver, US
  • LinkedIn® Page: www.linkedin.com
    6,022 employees on LinkedIn®
  • Ownership: PLTR (NYSE)

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 52% Large, 26% Small

What Do G2 Reviewers Say About Palantir Foundry?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the integration of AI workflows in Palantir Foundry, enhancing their tech stack and data ecosystem.
  • Users value the AI workflow integration of Palantir Foundry, enhancing their tech stack and data ecosystem effectively.
  • Users appreciate the seamless AI integration in Palantir Foundry, enhancing their tech and data workflows significantly.
  • Users value the integration of AI workflows in Palantir Foundry, enhancing their tech stack and data ecosystem.
  • Users benefit from the efficient analysis capabilities of Palantir Foundry, streamlining their data processes and insights.
Cons
  • Users note that Palantir Foundry is not cheap, but they appreciate the value received for the cost.
  • Users find the limited customization options in Palantir Foundry restrictive compared to other open-source alternatives.
  • Users find the limited customization options of Palantir Foundry restrictive compared to other open-source platforms.
  • Users find the limited customization options of Palantir Foundry restrict their ability to tailor the platform to their needs.

What Are Recent G2 Reviews of Palantir Foundry?

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

Informatica Data Integration and Engineering

Cloud Data Integration (CDI) is a comprehensive, AI-powered ETL and ELT solution designed to easily move, transform, and synchronize data between various sources and target systems across any cloud, anywhere, at scale. Built on a modern technology stack, CDI offers easy, efficient and cost-effective data ingestion, transformation, synchronization, and replication for a multi-cloud and serverless world for everyone and everywhere. It covers diverse integration patterns, ensuring you have well-architected and seamlessly automated data pipelines for all your advanced analytics and AI needs.

Average Rating: 4.3/5.0

Total Reviews: 320

How Do G2 Users Rate Informatica Data Integration and Engineering?

  • Governance: 5.0/10 (Category avg: 8.9/10)
  • Data Integration: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.7/10)

Who Is the Company Behind Informatica Data Integration and Engineering?

  • Seller: Informatica
  • Company Website:
  • Year Founded: 1993
  • HQ Location: Redwood City, CA
  • LinkedIn® Page: www.linkedin.com
    2,473 employees on LinkedIn®
  • Ownership: NYSE: INFA

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 57% Large, 28% Medium

What Do G2 Reviewers Say About Informatica Data Integration and Engineering?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Informatica Data Integration, making ETL tasks manageable for both beginners and experts.
  • Users appreciate the efficiency of Informatica Data Integration, benefiting from seamless connectivity and scalable data transfers.
  • Users appreciate the robust connectivity and ease of use of Informatica Data Integration for ETL tasks.
  • Users value the time-saving access of Informatica Data Integration, enabling efficient workflows without software installation.
  • Users appreciate the automation features of Informatica CDI, enhancing their data integration workflows efficiently.
Cons
  • Users find the complexity of setup and configuration challenging, especially for newcomers to the platform.
  • Users find the complex usability of Informatica Data Integration and Engineering challenging, especially for beginners.
  • Users find debugging difficult, as it often requires significant effort and complex configurations to resolve issues effectively.
  • Users find the difficult setup process of Informatica Data Integration and Engineering challenging, especially for newcomers to the platform.
  • Users struggle with unusual error messages in Informatica, often requiring tedious troubleshooting to resolve mapping issues.

What Are Recent G2 Reviews of Informatica Data Integration and Engineering?

What Are G2 Users Discussing About Informatica Data Integration and Engineering?

K2View

K2view Data Product Platform composes and delivers operational context as reusable data products to power use cases such as agentic AI, Customer 360, synthetic data generatio, data privacy and compliance, and test data management. Operational context represents complete, governed, real-time views of business entities such as customers, orders, and products, enabling consistent, trusted data for operational, analytical, and AI use cases. The platform integrates fragmented data from multiple sources into consistent, continuously updated data products, delivered on demand to downstream systems and users. Each data product is a self-contained unit that integrates and organizes multi-source data by entity, persists it in a high-performance Micro-Database, and governs it in-flight. It processes and enriches data in memory, continuously synchronizes it with source systems, and delivers it to authorized systems via APIs, SQL, messaging, CDC, MCP, and RAG. Core capabilities include: • K2Studio: Graphical tool for designing, creating, and deploying data products, accelerated by AI copilots • Universal Connectivity & Integration: Connect to any source or target (structured, semi-structured, unstructured) across cloud and on-prem, supporting batch and real-time, sync/async, and push/pull delivery • Augmented Data Catalog and Governance: AI-driven discovery and classification with in-flight enforcement of data privacy and data quality policies • Advanced Transformation: In-memory (RAM) data transformations and enrichment for near-real-time processing • AI & Agentic Enablement: Built-in MCP server per data product and ability to create data agents with planning, reasoning, and execution capabilities • Flexible Deployment: Cloud, on-prem, hybrid; supports fabric, mesh, hub architectures • K2Cloud Monitoring: Visibility into data product usage and SLAs

Average Rating: 4.6/5.0

Total Reviews: 53

How Do G2 Users Rate K2View?

  • Governance: 9.1/10 (Category avg: 8.9/10)
  • Data Integration: 9.8/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.7/10)
  • Data Protection: 9.6/10 (Category avg: 9.0/10)

Who Is the Company Behind K2View?

  • Seller: K2View
  • Year Founded: 2009
  • HQ Location: Dallas, TX
  • LinkedIn® Page: www.linkedin.com
    187 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Telecommunications, Information Technology and Services
  • Company Size: 41% Large, 32% Small

What Do G2 Reviewers Say About K2View?

AI-generated summary from verified user reviews

Pros
  • Users value the efficient data management capabilities of K2View, enhancing data organization and compliance across multiple systems.
  • Users value the seamless data sharing of K2View, enhancing efficiency and simplifying access to compliant data.
  • Users appreciate the ease of use of K2View, simplifying data access and management across multiple systems.
  • Users value the efficiency of K2View, streamlining data management and reducing delays across multiple systems.
  • Users appreciate the efficient organization of data, allowing seamless access and management across various systems.
Cons
  • Users find K2View's complexity challenging, especially during setup and optimization, requiring a solid technical background.
  • Users find the complex setup of K2View challenging, especially lacking necessary technical expertise for efficient use.
  • Users find the high technical requirement of K2View challenging, complicating configuration and maintenance without adequate expertise.
  • Users face a steep learning curve with K2View due to complex setup and a lack of practical training resources.
  • Users find K2View's learning difficulty challenging, especially in configuration and understanding advanced features without technical expertise.

What Are Recent G2 Reviews of K2View?

IBM Cloud Pak for Data

IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Running on Red Hat OpenShift and available on any cloud, this unified platform helps companies automate the end-to-end AI lifecycle. The intelligent data fabric in IBM Cloud Pak for Data enables automated distributed queries at scale without data movement; automated discovery and understanding of business-ready data; automated universal privacy and usage policies across the data ecosystem; and optimized model training, accuracy and explainability. View the demo: https://mediacenter.ibm.com/media/1_je41fqqz. The platform delivers on the below use cases: • Data access and availability – Eliminate data silos and simplify your data landscape to enable faster, cost-effective extraction of value from your data. • Data quality and governance - Apply governance solutions and methodologies to deliver trusted, business data. • Data privacy and security - Fully understand and manage sensitive data with a pervasive privacy framework. • ModelOps - Automate the AI lifecycle and synchronize application and model pipelines to scale AI deployments. • AI governance – Ensure your AI is transparent, compliant and trustworthy with greater visibility into model development, with capabilities such as explainable AI, model risk management and bias detection. • AI for Financial Operations - Automate and integrate planning across your organization, from financial planning & analysis to workforce planning, sales forecasting and supply chain planning. • AI for Customer care - Reduce time to resolution, decrease call volume and increase customer satisfaction. IBM Watson Assistant (WA) can provide AI-powered automated assistance and enable human agents to better handle inquiries. IBM Watson Discovery (WD) complements Watson Assistant and can help unlock insights from complex business content. Discover IBM Cloud Pak for Data Industry Accelerators: https://dataplatform.cloud.ibm.com/gallery?context=cpdaas See a case study: https://mediacenter.ibm.com/media/1_sr6lx8sz Try at no-cost: http://ibm.biz/dataplatformtrial

Average Rating: 4.3/5.0

Total Reviews: 71

How Do G2 Users Rate IBM Cloud Pak for Data?

  • Governance: 9.3/10 (Category avg: 8.9/10)
  • Data Integration: 9.7/10 (Category avg: 8.9/10)
  • Ease of Use: 8.1/10 (Category avg: 8.7/10)
  • Data Protection: 9.7/10 (Category avg: 9.0/10)

Who Is the Company Behind IBM Cloud Pak for Data?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM
  • Phone: 1-866-277-7488

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 52% Large, 27% Small

What Are Recent G2 Reviews of IBM Cloud Pak for Data?

Cloudera

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. Cloudera Anywhere Cloud™: Build and scale applications across any environment. The modular hybrid data and AI platform engineered for the agentic era empowers teams to deploy production-grade data and AI workloads across multi-cloud, on-premises, and sovereign environments while maintaining digital sovereignty. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments.

Average Rating: 4.2/5.0

Total Reviews: 208

How Do G2 Users Rate Cloudera?

  • Governance: 7.9/10 (Category avg: 8.9/10)
  • Data Integration: 7.1/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.7/10)
  • Data Protection: 7.6/10 (Category avg: 9.0/10)

Who Is the Company Behind Cloudera?

  • Seller: Cloudera
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Santa Clara, CA
  • LinkedIn® Page: www.linkedin.com
    3,505 employees on LinkedIn®
  • Phone: 888-789-1488

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Banking
  • Company Size: 39% Large, 33% Small

What Do G2 Reviewers Say About Cloudera?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Cloudera, enjoying its straightforward installation and maintenance for analytics.
  • Users commend Cloudera for its exceptional scalability, enabling seamless integration and efficient big data management.
  • Users commend Cloudera for its robust security, ideal for high-scale enterprise-level data engineering tasks.
  • Users appreciate the easy and secure data management provided by Cloudera, enabling smart analytics and decision-making.
  • Users value the user-friendly features of Cloudera, which simplify big data handling and improve workflow efficiency.
Cons
  • Users express concerns over the high costs associated with Cloudera, making it less accessible for some.
  • Users find Cloudera to have a complex setup and operational challenges, especially for inexperienced professionals.
  • Users find Cloudera setup to be difficult to learn, especially for beginners navigating its complex interface.
  • Users find the documentation lacking, which hampers navigating data configurations and resolving errors effectively.
  • Users face significant access issues with Cloudera, including limited documentation and authorization errors during task execution.

What Are Recent G2 Reviews of Cloudera?

What Are G2 Users Discussing About Cloudera?

Timextender

Timextender is a metadata-driven data platform that helps organizations build AI-ready data infrastructure up to 10x faster. The Timextender Data Platform unifies four modules, Data Integration, Data Enrichment, Data Quality, and Orchestration, that together automate the ingestion, governance, and delivery of data across the storage platform of your choice. Timextender is designed to help businesses manage their data infrastructure without extensive manual coding, giving data teams direct control over accuracy, governance, and the pace at which they can put trusted data to work.

Average Rating: 4.3/5.0

Total Reviews: 146

How Do G2 Users Rate Timextender?

  • Data Integration: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.7/10)

Who Is the Company Behind Timextender?

Who Uses This Product?

  • Who Uses This: Business Intelligence Consultant, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Medium, 33% Small

What Do G2 Reviewers Say About Timextender?

AI-generated summary from verified user reviews

Pros
  • Users find TimeXtender highly user-friendly, appreciating its intuitive design and supportive training resources for seamless integration.
  • Users value the exceptional customer support from TimeXtender, especially the friendly service desk and comprehensive training.
  • Users appreciate the automation features of TimeXtender, significantly saving time and ensuring consistent, high-quality data.
  • Users value the ease of use and fast implementation of TimeXtender, coupled with excellent customer support.
  • Users value the time-saving automation of TimeXtender, which simplifies data management and speeds up processes significantly.
Cons
  • Users face challenges with the learning curve and documentation, complicating onboarding and efficient use of the tool.
  • Users often struggle with unstructured documentation and a steep learning curve, complicating the onboarding of new team members.
  • Users find the poor documentation of timeXtender challenging, especially for new users seeking updated resources.
  • Users find the steep learning curve challenging, noting complexity without sufficient training and support for integration.
  • Users often face unclear error reporting, making it difficult to understand issues and leading to frustration.

What Are Recent G2 Reviews of Timextender?

What Are G2 Users Discussing About Timextender?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated