# Best Data Fabric Software ## How Many Data Fabric Software Products Does G2 Track? **Total Products under this Category:** 76 ### Category Stats (Jul 2026) - **Average Rating:** 4.33/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** K2View (+0.44%) - Among all products in this category, K2View recorded the largest rating increase compared to last month _Last updated: July 29, 2026_ ## How Does G2 Rank Data Fabric Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 1,900+ Authentic Reviews - 76+ 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](https://www.g2.com/categories/data-fabric/grids.png?focus%5B%5D=1208609&focus%5B%5D=129730&focus%5B%5D=127826&focus%5B%5D=12163&focus%5B%5D=10734&focus%5B%5D=51147&focus%5B%5D=1318239&focus%5B%5D=4867) Highlighted products: ServiceNow Workflow Data Fabric, SAP Datasphere, K2View, timextender, Denodo, Astro by Astronomer, Google Cloud Knowledge Catalog, and Incorta. 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=k2view&focus%5B%5D=timextender&focus%5B%5D=denodo&focus%5B%5D=astro-by-astronomer&focus%5B%5D=google-cloud-knowledge-catalog&focus%5B%5D=incorta) **Sponsored** ### 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. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=2394&secure%5Bchosen_at%5D=2026-07-29T22%3A43%3A49Z&secure%5Bdisplayable_resource_id%5D=2394&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=2394&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1434713&secure%5Bresource_id%5D=2394&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-fabric%3Fopen_modal_url%3D%252Fproducts%252Fservicenow-workflow-data-fabric%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fdata-fabric%2526source%253Dcategory&secure%5Btoken%5D=4a43d32b22359e1ddec082003ae4542dbf7c3786b19adebda60834d5a805163e&secure%5Burl%5D=https%3A%2F%2Fwww.sap.com%2Fdocuments%2F2026%2F03%2Fbc3a8c27-447f-0010-bca6-c68f7e60039b.rc.html%3Fcampaigncode%3DCRM-YD25-BDC-406625%26source%3DBDC-click-campaign-G2&secure%5Burl_type%5D=custom_url) ### [ServiceNow Workflow Data Fabric](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews) 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, WDF 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:** 142 #### 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: 8.8/10) - **Ease of Use:** 8.0/10 (Category avg: 8.7/10) - **Data Protection:** 8.8/10 (Category avg: 8.9/10) #### Who Is the Company Behind ServiceNow Workflow Data Fabric? - **Seller:** [ServiceNow](https://www.g2.com/sellers/servicenow) - **Company Website:** www.servicenow.com - **Year Founded:** 2004 - **HQ Location:** Santa Clara, CA - **Twitter:** @servicenow 55,548 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8f146dd2da6255ae21db2f89043b268912043fe250660dfee40ba3c0574bb1ba&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F29352%2F&secure%5Burl_type%5D=linkedin_company_website) 35,081 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 46% Large, 27% Medium #### What Do G2 Reviewers Say About ServiceNow Workflow Data Fabric? _AI-generated summary from verified user reviews_ ##### Pros - Users enjoy the **ease of use** of ServiceNow Workflow Data Fabric, facilitating seamless automation and streamlined workflow management. - Users value the **seamless integrations** of ServiceNow Workflow Data Fabric, enhancing collaboration across departments effortlessly. - Users value the **low-code automation** of ServiceNow Workflow Data Fabric, simplifying integration and enhancing workflow management. - Users value the **efficiency improvement** of ServiceNow Workflow Data Fabric, simplifying operations and reducing manual effort significantly. - Users value the **seamless data integration** of ServiceNow Workflow Data Fabric, enabling faster, more informed decision-making across workflows. ##### Cons - Users find the **complex setup** of ServiceNow Workflow Data Fabric challenging, particularly for smaller organizations and integrations. - Users find the **difficult setup** of ServiceNow Workflow Data Fabric a barrier, especially for smaller organizations with limited resources. - Users find the pricing **quite expensive** , making it hard to justify for smaller teams or startups. - Users experience **slow performance** when handling large datasets, leading to latency and challenges in data management. - Users find the **complexity of learning and managing data sources** in ServiceNow Workflow Data Fabric to be challenging. #### What Are Recent G2 Reviews of ServiceNow Workflow Data Fabric? **["Zero-Copy, Real-Time Intelligence with ServiceNow Workflow Data Fabric"](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-12543653)** **Rating:** 4.5/5.0 stars _— Younesse H._ [Read full review](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-12543653) **["Keeps ServiceNow Workflows in Sync with Current, Unified Data"](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-12541512)** **Rating:** 4.5/5.0 stars _— Youssef N._ [Read full review](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-12541512) ### [SAP Datasphere](https://www.g2.com/products/sap-datasphere/reviews) 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:** 165 #### How Do G2 Users Rate SAP Datasphere? - **Governance:** 8.1/10 (Category avg: 8.9/10) - **Data Integration:** 8.8/10 (Category avg: 8.8/10) - **Ease of Use:** 8.1/10 (Category avg: 8.7/10) - **Data Protection:** 8.0/10 (Category avg: 8.9/10) #### Who Is the Company Behind SAP Datasphere? - **Seller:** [SAP](https://www.g2.com/sellers/sap) - **Company Website:** www.sap.com - **Year Founded:** 1972 - **HQ Location:** Walldorf - **Twitter:** @SAP 297,052 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website) 141,955 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Business Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 40% Large, 35% Medium #### What Do G2 Reviewers Say About SAP Datasphere? _AI-generated summary from verified user reviews_ ##### Pros - Users find SAP Datasphere's **ease of use** greatly enhances their productivity compared to other services. - Users appreciate the **easy integrations** of SAP Datasphere, enabling seamless data access and enhanced analytics capabilities. - Users value the **unified data management** capabilities of SAP Datasphere, enhancing data access and analytics efficiency. - Users value the **intuitive analytics capabilities** of SAP Datasphere, simplifying data integration and enhancing insights generation. - Users value the **seamless collaboration** SAP Datasphere offers, enhancing integration and data accessibility across SAP products. ##### Cons - Users are frustrated with the **slow performance** of SAP Datasphere, especially when handling large datasets and complex tasks. - Users note the **expensive pricing** of SAP Datasphere, which can be a significant drawback for new users. - Users often face **performance issues** with SAP Datasphere, particularly with speed and large dataset handling. - Users face **integration issues** with SAP Datasphere, requiring middleware solutions and causing performance challenges, especially for beginners. - Users find the **complex setup** of SAP Datasphere frustrating due to vague error messages and steep learning curve. #### What Are Recent G2 Reviews of SAP Datasphere? **["SAP Datasphere A Powerful Platform for Data Integration and Real-Time Business Insights"](https://www.g2.com/survey_responses/sap-datasphere-review-12817894)** **Rating:** 5.0/5.0 stars _— Muzammil M._ [Read full review](https://www.g2.com/survey_responses/sap-datasphere-review-12817894) **["SAP Datasphere Simplifies Multi-Source Data Consolidation and Integration"](https://www.g2.com/survey_responses/sap-datasphere-review-12739150)** **Rating:** 4.5/5.0 stars _— Nijat I._ [Read full review](https://www.g2.com/survey_responses/sap-datasphere-review-12739150) #### What Are G2 Users Discussing About SAP Datasphere? - [What is SAP Data Warehouse Cloud used for?](https://www.g2.com/discussions/what-is-sap-data-warehouse-cloud-used-for) - 1 comment ### [K2View](https://www.g2.com/products/k2view/reviews) 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:** 52 #### How Do G2 Users Rate K2View? - **Governance:** 9.1/10 (Category avg: 8.9/10) - **Data Integration:** 9.8/10 (Category avg: 8.8/10) - **Ease of Use:** 9.0/10 (Category avg: 8.7/10) - **Data Protection:** 9.6/10 (Category avg: 8.9/10) #### Who Is the Company Behind K2View? - **Seller:** [K2View](https://www.g2.com/sellers/k2view) - **Year Founded:** 2009 - **HQ Location:** Dallas, TX - **Twitter:** @K2View 142 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=baf2cbdbb70d0e5346130463845539d6aecc39aef46a177b586eb301cf96104f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1012853&secure%5Burl_type%5D=linkedin_company_website) 194 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Telecommunications, Information Technology and Services - **Company Size:** 42% Large, 31% 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? **["A Dependable Platform for Managing Complex Enterprise Data"](https://www.g2.com/survey_responses/k2view-review-13125513)** **Rating:** 5.0/5.0 stars _— Mario C._ [Read full review](https://www.g2.com/survey_responses/k2view-review-13125513) **["Improving Confidence in Data Quality and Governance"](https://www.g2.com/survey_responses/k2view-review-13112374)** **Rating:** 5.0/5.0 stars _— Meerte V._ [Read full review](https://www.g2.com/survey_responses/k2view-review-13112374) ### [timextender](https://www.g2.com/products/timextender/reviews) 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:** 147 #### How Do G2 Users Rate timextender? - **Data Integration:** 10.0/10 (Category avg: 8.8/10) - **Ease of Use:** 8.4/10 (Category avg: 8.7/10) #### Who Is the Company Behind timextender? - **Seller:** [timextender](https://www.g2.com/sellers/timextender) - **Company Website:** www.timextender.com - **Year Founded:** 2006 - **HQ Location:** Aarhus, DK - **Twitter:** @timextender 17,630 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=16c30aa4d66911a30dfd85e108465af6956e4ac744b52cd472c76add59e6ea6b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftimextender%2F&secure%5Burl_type%5D=linkedin_company_website) 92 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Business Intelligence Consultant, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 45% Medium, 34% Small #### What Do G2 Reviewers Say About timextender? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Timextender, especially the intuitive drag-and-drop interface for data management. - Users value the **responsive customer support** of TimeXtender, enhancing their overall experience and implementation process. - Users praise the **automation features** of TimeXtender for streamlining workflows and simplifying complex processes. - Users appreciate the **user-friendly interface** of TimeXtender, making it easy to get started and design effectively. - Users find TimeXtender's **time-saving capabilities** invaluable, streamlining data tasks and enhancing workflow efficiency significantly. ##### Cons - Users face **functional limitations** with TimeXtender, including issues with offline compatibility and lack of version tracking. - Users face a **steep learning curve** with RSD-files and limited coding assistance, complicating data management. - Users experience **poor documentation** , making it difficult to navigate and utilize TimeXtender effectively. - Users face a **steep learning curve** with TimeXtender, particularly with complex data transformations and project transfers. - Users report **unpredictable behavior and inefficiencies** with error reporting, especially with large datasets and multiple users. #### What Are Recent G2 Reviews of timextender? **["TimeXtender Classic is still a Classic!"](https://www.g2.com/survey_responses/timextender-review-11786389)** **Rating:** 4.5/5.0 stars _— Benjamin P._ [Read full review](https://www.g2.com/survey_responses/timextender-review-11786389) **["Jet Analytics Data Integration (JADI)"](https://www.g2.com/survey_responses/timextender-review-8575138)** **Rating:** 5.0/5.0 stars _— Prabhu S._ [Read full review](https://www.g2.com/survey_responses/timextender-review-8575138) #### What Are G2 Users Discussing About timextender? - [How do you use Timextender?](https://www.g2.com/discussions/how-do-you-use-timextender) - [Why use TimeXtender?](https://www.g2.com/discussions/why-use-timextender) - 1 comment - [What is Odx server?](https://www.g2.com/discussions/what-is-odx-server) - 2 comments - [What does TimeXtender do?](https://www.g2.com/discussions/what-does-timextender-do) ### [Denodo](https://www.g2.com/products/denodo/reviews) Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data to trustworthy insights and outcomes for all data-related initiatives across the enterprise, including AI and self-service. Denodo's customers in all industries all over the world have delivered trusted AI-ready and business-ready data in a third of the time and with 10x better performance than with lakehouses and other mainstream data platforms alone. The Denodo Platform includes the following capabilities: - A semantic layer, with semantic search and embedded data prep in a self-service data catalog. - Unified, real-time-updated data views without expensive replication or copying of data. - Native connectors to over 200 source systems, both cloud and on-premises - An AI SDK which implements metadata-driven RAG (retrieval augmented generation) to provide trusted data to AI agents. - Query acceleration, improving lakehouse performance by 10x while also reducing compute and storage costs. - Federated enterprise-wide governance and privacy compliance. - Greater automation of common data engineering tasks, with the AI-powered Denodo Assistant. Enterprises world-wide across every major industry have used Denodo to achieve greater business self-service and agility, improve operational visibility and efficiency, optimize the performance and cost of modern data infrastructure such as Lakehouses, and ensure success of their AI initiatives. Denodo now offers two options to meet these needs: the Denodo Platform, deployable in all Clouds (AWS, Azure, GCP and Alibaba) and on-premises for full control, and Agora, our fully managed cloud service available on AWS, offering an entirely managed experience with the same rich data capabilities. Denodo provides a unique approach to data integration and management not found in any other platform. Denodo customers reported: 83% increase in business user productivity 67% reduction in time required to prepare data for AI 65% decrease in data delivery time vs. ETL 10x improvement in Lakehouse query performance compared to running queries directly resulting in an average three-year benefit of $6.8M, ROI of 408%, and payback within six months across customers. **Average Rating:** 4.3/5.0 **Total Reviews:** 39 #### How Do G2 Users Rate Denodo? - **Governance:** 8.7/10 (Category avg: 8.9/10) - **Data Integration:** 9.3/10 (Category avg: 8.8/10) - **Ease of Use:** 8.7/10 (Category avg: 8.7/10) - **Data Protection:** 8.8/10 (Category avg: 8.9/10) #### Who Is the Company Behind Denodo? - **Seller:** [Denodo](https://www.g2.com/sellers/denodo) - **Year Founded:** 1999 - **HQ Location:** Palo Alto, CA - **Twitter:** @denodo 5,555 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=653ee442e68039deb3c7c8ba7184e7a1c1cbe454ac46aae914017bd567aa8685&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F32150%2F&secure%5Burl_type%5D=linkedin_company_website) 794 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Financial Services, Information Technology and Services - **Company Size:** 47% Large, 30% Medium #### What Do G2 Reviewers Say About Denodo? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **extensive functionality** of Denodo, enhancing data integration and management efficiency across various systems. - Users appreciate the **extensive built-in connectors** of Denodo for seamless integration and unified data access. - Users value the **seamless integration** of Denodo, which simplifies data access and enhances overall data management. - Users appreciate the **seamless data integration** in Denodo, enhancing workflows and providing unified access to data sources. - Users appreciate the **ease of setup** with Denodo, citing seamless integration and efficient data management as key benefits. ##### Cons - Users find Denodo to be **expensive** , which may limit its accessibility for smaller companies. - Users often find the **Web Designer buggy** , which can lead to frustrations compared to the Admin tool. - Users report that the **Web Designer can be buggy** , leading to frustrations compared to the Admin tool's stability. - Users find Denodo has a **steep learning curve** , making it difficult for smaller companies to adapt. - Users find the **steep learning curve** of Denodo challenging, especially for smaller companies trying to adapt. #### What Are Recent G2 Reviews of Denodo? **["Effortless Data Virtualization with Top-Notch Security"](https://www.g2.com/survey_responses/denodo-review-12582329)** **Rating:** 4.5/5.0 stars _— Aman M._ [Read full review](https://www.g2.com/survey_responses/denodo-review-12582329) **["Denodo’s Real-Time Data Virtualization Makes Integration Fast and Flexible"](https://www.g2.com/survey_responses/denodo-review-12255977)** **Rating:** 4.5/5.0 stars _— Mahmoud H._ [Read full review](https://www.g2.com/survey_responses/denodo-review-12255977) #### What Are G2 Users Discussing About Denodo? - [What is Denodo used for?](https://www.g2.com/discussions/denodo-what-is-denodo-used-for) - [Is denodo a database?](https://www.g2.com/discussions/is-denodo-a-database) - [What is denodo data virtualization?](https://www.g2.com/discussions/what-is-denodo-data-virtualization) - [What is denodo tool?](https://www.g2.com/discussions/what-is-denodo-tool) - [What is denodo used for?](https://www.g2.com/discussions/what-is-denodo-used-for) ### [Astro by Astronomer](https://www.g2.com/products/astro-by-astronomer/reviews) For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Astronomer is the driving force behind Apache Airflow™, the de facto standard for expressing data flows as code. Airflow is downloaded more than 31 million times each month and is used by hundreds of thousands of teams around the world. **Average Rating:** 4.5/5.0 **Total Reviews:** 135 #### How Do G2 Users Rate Astro by Astronomer? - **Governance:** 8.0/10 (Category avg: 8.9/10) - **Data Integration:** 8.5/10 (Category avg: 8.8/10) - **Ease of Use:** 9.0/10 (Category avg: 8.7/10) - **Data Protection:** 8.0/10 (Category avg: 8.9/10) #### Who Is the Company Behind Astro by Astronomer? - **Seller:** [Astronomer](https://www.g2.com/sellers/astronomer) - **Company Website:** www.astronomer.io - **Year Founded:** 2018 - **HQ Location:** New York, US - **Twitter:** @astronomerio 19,697 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14de7865093cbe981bc53aa7236a5a16a9a7e76fb4d0a5b96f23ea594dfac03b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10019299&secure%5Burl_type%5D=linkedin_company_website) 4,572 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Engineer, Senior Data Engineer - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 47% Medium, 38% Large #### What Do G2 Reviewers Say About Astro by Astronomer? _AI-generated summary from verified user reviews_ ##### Pros - Users highlight the **ease of use** of Astro, with intuitive UI and seamless Slack integration for monitoring. - Users appreciate the **efficiency improvement** of Astro, enhancing workflow management and saving valuable time. - Users appreciate the **intuitive user interface** of Astro, simplifying complex workflows and enhancing team collaboration. - Users love the **automation capabilities** of Astro by Astronomer, enhancing efficiency in data orchestration and monitoring. - Users value the **deployment ease** of Astro by Astronomer, streamlining Airflow and ensuring reliable data pipeline management. ##### Cons - Users express concerns over Astro by Astronomer's **high pricing** and lack of transparency, particularly for smaller teams. - Users report a **steep learning curve** for new team members, requiring significant time for adaptation and training. - Users struggle with a **steep learning curve** , making adaptation and training for Astro challenging for new team members. - Users often find a **steep learning curve** with Astro, requiring extra time for adaptation and training for new users. - Users find the **limited customization** of Astro restrictive, especially compared to self-hosted Airflow options. #### What Are Recent G2 Reviews of Astro by Astronomer? **["Excellent developer and customer experience"](https://www.g2.com/survey_responses/astro-by-astronomer-review-8428848)** **Rating:** 5.0/5.0 stars _— Juan Roberto H._ [Read full review](https://www.g2.com/survey_responses/astro-by-astronomer-review-8428848) **["Asro literally assists in data engineering work, making it easier and more productive."](https://www.g2.com/survey_responses/astro-by-astronomer-review-8519803)** **Rating:** 5.0/5.0 stars _— Lakshminarayanan K._ [Read full review](https://www.g2.com/survey_responses/astro-by-astronomer-review-8519803) #### What Are G2 Users Discussing About Astro by Astronomer? - [What is your experience with Astro by Astronomer for data orchestration, and what challenges have you faced?](https://www.g2.com/discussions/what-is-your-experience-with-astro-by-astronomer-for-data-orchestration-and-what-challenges-have-you-faced) - [What is Astro by Astronomer used for?](https://www.g2.com/discussions/what-is-astro-by-astronomer-used-for) ### [Google Cloud Knowledge Catalog](https://www.g2.com/products/google-cloud-knowledge-catalog/reviews) Knowledge Catalog is a dynamic, always-on, universal context engine for agents. It unifies structured, unstructured, and SaaS data into a governed, agent-ready truth. Knowledge Catalog aggregates native context across your Google and partner data platforms, semantic models, and third-party catalogs, unifying them into a single, governed source of truth. Automatically harvest technical metadata across your foundational systems—including BigQuery, AlloyDB, Spanner, Cloud SQL, Firestore (Preview), and Looker (Preview). It also supports integrations with third-party databases and partner catalogs like Ab Initio, Anomalo, Atlan, Collibra, and Datahub. **Average Rating:** 4.3/5.0 **Total Reviews:** 17 #### How Do G2 Users Rate Google Cloud Knowledge Catalog? - **Governance:** 8.3/10 (Category avg: 8.9/10) - **Data Integration:** 9.0/10 (Category avg: 8.8/10) - **Ease of Use:** 8.5/10 (Category avg: 8.7/10) - **Data Protection:** 8.7/10 (Category avg: 8.9/10) #### Who Is the Company Behind Google Cloud Knowledge Catalog? - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google 31,899,995 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website) 341,888 employees on LinkedIn® - **Ownership:** NASDAQ:GOOG #### Who Uses This Product? - **Top Industries:** Information Technology and Services - **Company Size:** 41% Large, 41% Small #### What Are Recent G2 Reviews of Google Cloud Knowledge Catalog? **["Must have tool for businesses that gather data in ocean"](https://www.g2.com/survey_responses/google-cloud-knowledge-catalog-review-8951605)** **Rating:** 4.5/5.0 stars _— Abhinav J._ [Read full review](https://www.g2.com/survey_responses/google-cloud-knowledge-catalog-review-8951605) **["Data Management: A Real-World Look at Google Dataplex"](https://www.g2.com/survey_responses/google-cloud-knowledge-catalog-review-8919573)** **Rating:** 4.5/5.0 stars _— Trisha S._ [Read full review](https://www.g2.com/survey_responses/google-cloud-knowledge-catalog-review-8919573) ### [Incorta](https://www.g2.com/products/incorta/reviews) Incorta is the first and only open data delivery platform that enables real-time analysis of live, detailed data across all systems of record—without the need for complex ETL processes. By enabling direct analysis on raw, source-identical data, Incorta provides faster, more accurate insights while removing barriers to exploration. With intuitive low-code/no-code tools, AI-powered querying through Nexus, and prebuilt business data applications, enterprise teams can quickly surface insights, break down technical roadblocks, and make smarter decisions without heavy engineering effort. For more information, please visit www.incorta.com. **Average Rating:** 4.4/5.0 **Total Reviews:** 55 #### How Do G2 Users Rate Incorta? - **Governance:** 9.7/10 (Category avg: 8.9/10) - **Data Integration:** 9.8/10 (Category avg: 8.8/10) - **Ease of Use:** 9.2/10 (Category avg: 8.7/10) - **Data Protection:** 8.8/10 (Category avg: 8.9/10) #### Who Is the Company Behind Incorta? - **Seller:** [Incorta](https://www.g2.com/sellers/incorta) - **Company Website:** www.incorta.com - **Year Founded:** 2013 - **HQ Location:** San Mateo, CA - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c8c59dc8a9a75b9a6418a91d4025810db481465cf5bce72225b97c66bb082527&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fincorta%2F&secure%5Burl_type%5D=linkedin_company_website) 348 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 56% Large, 29% Medium #### What Do G2 Reviewers Say About Incorta? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of integration** with diverse data sources and types in Incorta, streamlining their data management. - Users value the **easy integrations** with various data sources, enhancing their data management experience significantly. - Users value the **ease of integration** with various data sources and types in Incorta. ##### Cons - Users face issues with **bugs** as the local data agent may not support the latest JRE builds effectively. #### What Are Recent G2 Reviews of Incorta? **["Great platformand support"](https://www.g2.com/survey_responses/incorta-review-10853785)** **Rating:** 5.0/5.0 stars _— Jeff W._ [Read full review](https://www.g2.com/survey_responses/incorta-review-10853785) **["Facilitating presentation and information access"](https://www.g2.com/survey_responses/incorta-review-9467627)** **Rating:** 5.0/5.0 stars _— Elsayed H._ [Read full review](https://www.g2.com/survey_responses/incorta-review-9467627) #### What Are G2 Users Discussing About Incorta? - [Is Incorta a data warehouse?](https://www.g2.com/discussions/is-incorta-a-data-warehouse) - [What is Incorta?](https://www.g2.com/discussions/what-is-incorta) - [What do you know about Incorta?](https://www.g2.com/discussions/what-do-you-know-about-incorta) - [What is Incorta used for?](https://www.g2.com/discussions/what-is-incorta-used-for) - 1 comment ### [IBM Cloud Pak for Data](https://www.g2.com/products/ibm-cloud-pak-for-data/reviews) 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:** 72 #### 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: 8.8/10) - **Ease of Use:** 8.1/10 (Category avg: 8.7/10) - **Data Protection:** 9.7/10 (Category avg: 8.9/10) #### Who Is the Company Behind IBM Cloud Pak for Data? - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity 74,660 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website) 328,202 employees on LinkedIn® - **Ownership:** SWX:IBM #### Who Uses This Product? - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 51% Large, 28% Small #### What Are Recent G2 Reviews of IBM Cloud Pak for Data? **["Comprehensive solution for data-intensive workflows"](https://www.g2.com/survey_responses/ibm-cloud-pak-for-data-review-12967373)** **Rating:** 4.5/5.0 stars _— Amr a._ [Read full review](https://www.g2.com/survey_responses/ibm-cloud-pak-for-data-review-12967373) **["Unified Data Integration and Governance for Analytics and AI on OpenShift"](https://www.g2.com/survey_responses/ibm-cloud-pak-for-data-review-13089210)** **Rating:** 4.5/5.0 stars _— Aleksander M._ [Read full review](https://www.g2.com/survey_responses/ibm-cloud-pak-for-data-review-13089210) ### [Progress MarkLogic](https://www.g2.com/products/progress-marklogic/reviews) Progress MarkLogic is an enterprise-grade multi-model data management platform that unlocks value from complex data. It works with the full breadth of a company's information and makes it easily discoverable and ready to power high-value applications, decision intelligence and trustworthy AI. Organizations leverage integrated capabilities to integrate, harmonize, search and visualize multi-model data to build a connected data ecosystem as the secure and scalable foundation for the AI era. **Average Rating:** 4.3/5.0 **Total Reviews:** 65 #### How Do G2 Users Rate Progress MarkLogic? - **Governance:** 8.3/10 (Category avg: 8.9/10) - **Data Integration:** 8.9/10 (Category avg: 8.8/10) - **Ease of Use:** 8.1/10 (Category avg: 8.7/10) - **Data Protection:** 8.7/10 (Category avg: 8.9/10) #### Who Is the Company Behind Progress MarkLogic? - **Seller:** [Progress Software](https://www.g2.com/sellers/progress-software) - **Company Website:** www.progress.com - **Year Founded:** 1981 - **HQ Location:** Burlington, MA. - **Twitter:** @ProgressSW 48,773 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ab257d11ab0255eaaae8c28635f37e0e64277d81eae954d5985edfd545cd2d69&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fprogress-software%2F&secure%5Burl_type%5D=linkedin_company_website) 4,205 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 53% Large, 24% Small #### What Are Recent G2 Reviews of Progress MarkLogic? **["I am technical support engineer working with Microsoft with azure identity"](https://www.g2.com/survey_responses/progress-marklogic-review-9456409)** **Rating:** 4.5/5.0 stars _— Dar A._ [Read full review](https://www.g2.com/survey_responses/progress-marklogic-review-9456409) **["Robust Data Management with MarkLogic's Advanced Features"](https://www.g2.com/survey_responses/progress-marklogic-review-12862116)** **Rating:** 4.5/5.0 stars _— Verified User_ [Read full review](https://www.g2.com/survey_responses/progress-marklogic-review-12862116) #### What Are G2 Users Discussing About Progress MarkLogic? - [What is MarkLogic used for?](https://www.g2.com/discussions/marklogic-what-is-marklogic-used-for) - 1 comment, 1 upvote - [Is MarkLogic a graph database?](https://www.g2.com/discussions/is-marklogic-a-graph-database) - 1 upvote - [Is MarkLogic open source?](https://www.g2.com/discussions/is-marklogic-open-source) - 1 comment, 1 upvote - [Which of the following features are available with MarkLogic search?](https://www.g2.com/discussions/which-of-the-following-features-are-available-with-marklogic-search) - [What is MarkLogic used for?](https://www.g2.com/discussions/what-is-marklogic-used-for) ### [Cloudera](https://www.g2.com/products/cloudera/reviews) 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. 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:** 4.1/5.0 **Total Reviews:** 131 #### How Do G2 Users Rate Cloudera? - **Governance:** 7.5/10 (Category avg: 8.9/10) - **Data Integration:** 6.7/10 (Category avg: 8.8/10) - **Ease of Use:** 8.3/10 (Category avg: 8.7/10) - **Data Protection:** 7.2/10 (Category avg: 8.9/10) #### Who Is the Company Behind Cloudera? - **Seller:** [Cloudera](https://www.g2.com/sellers/cloudera) - **Company Website:** www.cloudera.com - **Year Founded:** 2008 - **HQ Location:** Santa Clara, CA - **Twitter:** @cloudera 106,442 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4b6b5c58818dc39001f93594864d8d88fc876550d3da9306b76f69639a789f14&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F229433%2F&secure%5Burl_type%5D=linkedin_company_website) 3,446 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Large, 32% Small #### What Do G2 Reviewers Say About Cloudera? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **brilliant and easy-to-use interface** of Cloudera, enhancing their data analysis experience. - Users value the **seamless scalability** of Cloudera, effectively handling vast amounts of data with ease. - Users appreciate the **strong security features** of Cloudera, ensuring reliable data management and protection. - Users value Cloudera for its **comprehensive big data management tools** , enhancing their data handling and scalability experience. - Users appreciate the **scalability and ease of use** of Cloudera, making data management and reporting effortless. ##### Cons - Users note that Cloudera's platform can be **expensive** to maintain and challenging to set up, especially for beginners. - Users find the **complexity** of Cloudera challenging, especially when managing SQL queries and customization. - Users find the **learning curve steep** with Cloudera, making setup and navigation challenging for beginners. - Users find Cloudera's **poor documentation** makes navigating complex data configurations challenging and complicates error resolution. - Users face significant **access issues** with Cloudera, including authorization errors and limited documentation support. #### What Are Recent G2 Reviews of Cloudera? **["Reliable Platform for Managing Large-Scale Data Pipelines"](https://www.g2.com/survey_responses/cloudera-review-11455117)** **Rating:** 4.5/5.0 stars _— Paritosh C._ [Read full review](https://www.g2.com/survey_responses/cloudera-review-11455117) **["Easy to Use, Reliable, and Great for Team Collaboration"](https://www.g2.com/survey_responses/cloudera-review-12695378)** **Rating:** 4.0/5.0 stars _— Verified User in Computer Software_ [Read full review](https://www.g2.com/survey_responses/cloudera-review-12695378) #### What Are G2 Users Discussing About Cloudera? - [What is Cloudera used for?](https://www.g2.com/discussions/what-is-cloudera-used-for) - 1 comment - [What is Hortonworks Data Platform used for?](https://www.g2.com/discussions/what-is-hortonworks-data-platform-used-for) - [What is Cloudera Data Flow used for?](https://www.g2.com/discussions/what-is-cloudera-data-flow-used-for) - [What is Cloudera Navigator used for?](https://www.g2.com/discussions/what-is-cloudera-navigator-used-for) - [What is Cloudera Data Engineering used for?](https://www.g2.com/discussions/what-is-cloudera-data-engineering-used-for) ### [Elastic Stack](https://www.g2.com/products/elastic-stack/reviews) The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data. **Average Rating:** 4.5/5.0 **Total Reviews:** 106 #### How Do G2 Users Rate Elastic Stack? - **Governance:** 9.4/10 (Category avg: 8.9/10) - **Data Integration:** 9.4/10 (Category avg: 8.8/10) - **Ease of Use:** 8.0/10 (Category avg: 8.7/10) - **Data Protection:** 9.4/10 (Category avg: 8.9/10) #### Who Is the Company Behind Elastic Stack? - **Seller:** [Elastic](https://www.g2.com/sellers/elastic) - **Year Founded:** 2012 - **HQ Location:** San Francisco, CA - **Twitter:** @elastic 65,200 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bc8e533876f16af617380aaa3922cb6a39a1d6233f0b32a0fa987a5fdffd799e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F814025%2F&secure%5Burl_type%5D=linkedin_company_website) 5,079 employees on LinkedIn® - **Ownership:** NYSE: ESTC #### Who Uses This Product? - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 47% Medium, 34% Large #### What Do G2 Reviewers Say About Elastic Stack? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** of Elastic Stack, which simplifies log and metric analysis with a unified interface. - Users value the **flexibility** of Elastic Stack, enabling seamless integration and customization for diverse analytics needs. - Users value the **unified log management** of Elastic Stack, enhancing issue correlation and system understanding seamlessly. - Users value the **search efficiency** of Elastic Stack, enabling rapid issue correlation and comprehensive system insights. - Users value the **versatility** of Elastic Stack, enjoying its seamless integration and flexibility across various deployment models. ##### Cons - Users find the **resource management challenging** in Elastic Stack due to high demands and steep learning curves. - Users report **complexity issues** with Elastic Stack, citing challenges in management, performance tuning, and steep learning curves. - Users find Elastic Stack to be **expensive at scale** due to high resource requirements and additional licensing costs. - Users find that Elastic Stack's **high memory usage** can lead to increased costs and complexity at scale. - Users find the **learning curve steep** for Elastic Stack, needing expertise for optimal cluster management and performance. #### What Are Recent G2 Reviews of Elastic Stack? **["Elastic Stack: Real-Time Scalability, Fast Search, and Powerful Kibana Visualizations"](https://www.g2.com/survey_responses/elastic-stack-review-12683691)** **Rating:** 5.0/5.0 stars _— Jai P._ [Read full review](https://www.g2.com/survey_responses/elastic-stack-review-12683691) **["Powerful Centralized Log Management with Elastic Stack"](https://www.g2.com/survey_responses/elastic-stack-review-12951407)** **Rating:** 4.0/5.0 stars _— Ravindra N._ [Read full review](https://www.g2.com/survey_responses/elastic-stack-review-12951407) #### What Are G2 Users Discussing About Elastic Stack? - [How has Elastic Stack impacted your data search and analytics capabilities, and what do you recommend to new users?](https://www.g2.com/discussions/how-has-elastic-stack-impacted-your-data-search-and-analytics-capabilities-and-what-do-you-recommend-to-new-users) - [What is Kibana monitoring?](https://www.g2.com/discussions/what-is-kibana-monitoring) - [What is Grafana and Kibana?](https://www.g2.com/discussions/what-is-grafana-and-kibana) - 1 comment - [What is Kibana built with?](https://www.g2.com/discussions/what-is-kibana-built-with) - [What are the features of Kibana?](https://www.g2.com/discussions/what-are-the-features-of-kibana) - 1 comment ### [Cinchy](https://www.g2.com/products/cinchy-cinchy/reviews) With the Cinchy Data Collaboration platform liberate data from applications and control and connect as data products in a network, eliminating the need for future data integration. Build a more agile data ecosystem that makes change simple, rapidly accelerates business outcomes, and fosters collaborative intelligence across your enterprise. With Cinchy, cure the pains of integration to deliver projects at half the cost and time, improve data governance with universal data access controls, and provide data access to business users for self-serve reporting and analytics. **Average Rating:** 4.8/5.0 **Total Reviews:** 19 #### How Do G2 Users Rate Cinchy? - **Governance:** 9.8/10 (Category avg: 8.9/10) - **Data Integration:** 9.9/10 (Category avg: 8.8/10) - **Ease of Use:** 9.3/10 (Category avg: 8.7/10) - **Data Protection:** 10.0/10 (Category avg: 8.9/10) #### Who Is the Company Behind Cinchy? - **Seller:** [Cinchy](https://www.g2.com/sellers/cinchy) - **Year Founded:** 2017 - **HQ Location:** Toronto, ON - **Twitter:** @itscinchy 460 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f5c110a8249a990836a5e5230cfd25341512479c9adbe586c0788fe07fa7758f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F16200640%2F&secure%5Burl_type%5D=linkedin_company_website) 40 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Financial Services - **Company Size:** 53% Medium, 37% Large #### What Are Recent G2 Reviews of Cinchy? **["Wonderful experience working with Cinchy team"](https://www.g2.com/survey_responses/cinchy-review-8132727)** **Rating:** 5.0/5.0 stars _— Verified User in Financial Services_ [Read full review](https://www.g2.com/survey_responses/cinchy-review-8132727) **["Powerful tool - outstanding technology partner"](https://www.g2.com/survey_responses/cinchy-review-8004644)** **Rating:** 5.0/5.0 stars _— Peter F._ [Read full review](https://www.g2.com/survey_responses/cinchy-review-8004644) #### What Are G2 Users Discussing About Cinchy? - [What is Cinchy used for?](https://www.g2.com/discussions/what-is-cinchy-used-for) ### [Talend Data Fabric](https://www.g2.com/products/talend-data-fabric/reviews) Talend Data Fabric is a unified platform that enables you to manage all your enterprise data within a single environment. Leverage all the cloud has to offer to manage your entire data lifecycle – from connecting the broadest set of data sources and platforms to intuitive self-service data access. **Average Rating:** 4.3/5.0 **Total Reviews:** 62 #### How Do G2 Users Rate Talend Data Fabric? - **Governance:** 8.3/10 (Category avg: 8.9/10) - **Data Integration:** 8.9/10 (Category avg: 8.8/10) - **Ease of Use:** 8.1/10 (Category avg: 8.7/10) - **Data Protection:** 8.1/10 (Category avg: 8.9/10) #### Who Is the Company Behind Talend Data Fabric? - **Seller:** [Qlik](https://www.g2.com/sellers/qlik) - **Year Founded:** 1993 - **HQ Location:** Radnor, PA - **Twitter:** @qlik 64,130 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cd147c14c7daf80e08bf113d2cae24ca3693e49a87c147350c31e8b0961c7297&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10162%2F&secure%5Burl_type%5D=linkedin_company_website) 4,551 employees on LinkedIn® - **Phone:** 1 (888) 994-9854 #### Who Uses This Product? - **Company Size:** 45% Medium, 28% Large #### What Do G2 Reviewers Say About Talend Data Fabric? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **flexibility and scalability** of Talend Data Fabric, enhancing precision in data workflows. - Users value the **unified approach to data integration** in Talend Data Fabric, enhancing efficiency across diverse data sources. - Users appreciate the **ease of use** of Talend Data Fabric, enabling efficient design and management of data flows. - Users value the **flexibility** of Talend Data Fabric, which allows seamless integration across diverse data sources. - Users value the **efficient handling of large data volumes** by Talend Data Fabric, enhancing overall data management capabilities. ##### Cons - Users struggle with the **steep learning curve** of Talend Data Fabric, finding it complex and difficult to master. - Users find the **high cost** of Talend Data Fabric to be a significant barrier, limiting accessibility and options. - Users report a need for **UX improvement** in Talend Data Fabric, highlighting difficulties in navigation and user-friendliness. - Users struggle with **poor documentation** , making it challenging to navigate Talend Data Fabric and troubleshoot effectively. - Users experience **slow performance** with Talend Data Fabric, especially when processing extremely large datasets, affecting overall efficiency. #### What Are Recent G2 Reviews of Talend Data Fabric? **["Exploring the Power (and Perks) of Talend Data Fabric"](https://www.g2.com/survey_responses/talend-data-fabric-review-9112143)** **Rating:** 4.5/5.0 stars _— Siddharth S._ [Read full review](https://www.g2.com/survey_responses/talend-data-fabric-review-9112143) **["Unlocking Data Flow Excellence: A Comprehensive Look at Talend Data Streams"](https://www.g2.com/survey_responses/talend-data-fabric-review-9119413)** **Rating:** 4.0/5.0 stars _— Naif H._ [Read full review](https://www.g2.com/survey_responses/talend-data-fabric-review-9119413) #### What Are G2 Users Discussing About Talend Data Fabric? - [What is Talend Data Streams used for?](https://www.g2.com/discussions/what-is-talend-data-streams-used-for) - [What is Talend Data Fabric used for?](https://www.g2.com/discussions/what-is-talend-data-fabric-used-for) - [What language does Talend Open Studio use?](https://www.g2.com/discussions/what-language-does-talend-open-studio-use) - 2 comments ### [TIBCO Data Fabric](https://www.g2.com/products/tibco-data-fabric/reviews) Data virtualization breaks down data silos delivering one place to access, combine, and provision all your data. Business-friendly data views simplify access and hide IT complexity. Agile data engineering speeds time-to-solution, reduces costs, and delivers the most up-to-date and complete information to your business. **Average Rating:** 4.2/5.0 **Total Reviews:** 10 #### How Do G2 Users Rate TIBCO Data Fabric? - **Governance:** 7.9/10 (Category avg: 8.9/10) - **Data Integration:** 8.1/10 (Category avg: 8.8/10) - **Ease of Use:** 8.5/10 (Category avg: 8.7/10) - **Data Protection:** 7.9/10 (Category avg: 8.9/10) #### Who Is the Company Behind TIBCO Data Fabric? - **Seller:** [Cloud Software Group](https://www.g2.com/sellers/cloud-software-group) - **HQ Location:** Fort Lauderdale, FL - **Twitter:** @cloudsoftware 124 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=86a8da07f19bbb6871acf9d6e74baf5f74966e23f959aac6dd81145864d554b2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcloudsoftwaregroup%2F&secure%5Burl_type%5D=linkedin_company_website) 9,527 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 60% Large, 40% Medium #### What Are Recent G2 Reviews of TIBCO Data Fabric? **["Modern age data comprehensive tool!!!"](https://www.g2.com/survey_responses/tibco-data-fabric-review-9536011)** **Rating:** 4.0/5.0 stars _— Nikhil V._ [Read full review](https://www.g2.com/survey_responses/tibco-data-fabric-review-9536011) **["Whipping Up Efficiency: A Tasty Review of TIBCO Data Fabric's Recipe for Data Success"](https://www.g2.com/survey_responses/tibco-data-fabric-review-8912086)** **Rating:** 4.5/5.0 stars _— Manik D._ [Read full review](https://www.g2.com/survey_responses/tibco-data-fabric-review-8912086) #### What Are G2 Users Discussing About TIBCO Data Fabric? - [What is TIBCO Data Fabric used for?](https://www.g2.com/discussions/what-is-tibco-data-fabric-used-for) - ‹ Prev‹ Prev - 1 - [2](/categories/data-fabric?open_modal_url=%2Fproducts%2Fservicenow-workflow-data-fabric%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fdata-fabric%26source%3Dcategory&order=g2_score&page=2#product-list) - [3](/categories/data-fabric?open_modal_url=%2Fproducts%2Fservicenow-workflow-data-fabric%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fdata-fabric%26source%3Dcategory&order=g2_score&page=3#product-list) - [4](/categories/data-fabric?open_modal_url=%2Fproducts%2Fservicenow-workflow-data-fabric%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fdata-fabric%26source%3Dcategory&order=g2_score&page=4#product-list) - [5](/categories/data-fabric?open_modal_url=%2Fproducts%2Fservicenow-workflow-data-fabric%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fdata-fabric%26source%3Dcategory&order=g2_score&page=5#product-list) - [6](/categories/data-fabric?open_modal_url=%2Fproducts%2Fservicenow-workflow-data-fabric%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fdata-fabric%26source%3Dcategory&order=g2_score&page=6#product-list) - [Next ›Next ›](/categories/data-fabric?open_modal_url=%2Fproducts%2Fservicenow-workflow-data-fabric%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fdata-fabric%26source%3Dcategory&order=g2_score&page=2#product-list) Spotlight Categories [CPQ Software](https://www.g2.com/categories/cpq) [Attribution Software](https://www.g2.com/categories/attribution) [Generative AI Infrastructure Software](https://www.g2.com/categories/generative-ai-infrastructure) [Procure to Pay Software](https://www.g2.com/categories/procure-to-pay) [Auto Dialer Software](https://www.g2.com/categories/auto-dialer) Similar Categories - [Infrastructure as a Service (IaaS)](/categories/infrastructure-as-a-service-iaas) - [Active Metadata Management](/categories/active-metadata-management) - [Address Verification](/categories/address-verification) - [AIOps Platforms](/categories/aiops-platforms) - [Application Server](/categories/application-server) - [Blockchain](/categories/blockchain) - [Cloud File Storage](/categories/cloud-file-storage) - [Database Software](/categories/database-software) - [Data Center Infrastructure Management (DCIM)](/categories/data-center-infrastructure-management-dcim) - [Data Center Networking](/categories/data-center-networking) - [Data Exchange Platforms](/categories/data-exchange-platforms) - [Data Integration Tools](/categories/data-integration-tools) - [Data Management Software](/categories/data-management-software) - [Data Mapping](/categories/data-mapping) - [DataOps Platforms](/categories/dataops-platforms) [Browse Data Fabric Themes](/categories/data-fabric/themes) ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi") SJ Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi) Updated October 3, 2024 Data fabric software is a unified data platform that enables organizations to integrate their data and data management processes. Adopting a data fabric allows for the creation of complete views of their data, helping power existing processes and applications and enabling the rapid development of new use cases. A data fabric is not just a single solution but an entire data ecosystem that connects disparate data sources and infrastructure types across locations (on-premises, in the cloud, or hybrid environments), enabling analysis without onerous data integration requirements. The software offers benefits such as the ability to explore and extract value from any form of data regardless of location by connecting stores of structured and unstructured data. It provides centralized access via a single, unified view of an organization's data that inherits access and governance restrictions. Companies use data fabric software to gain greater visibility into often highly complex and heterogeneous data landscapes. Data fabric software offers deeper insights and control over their data irrespective of where it sits, enabling better business decisions and strategies. Helping businesses become data-driven is key to the emergence of data fabric software and it can be adopted by any industry vertical. Fraud detection and security management, sales and marketing management, and governance and compliance management are some of the major use cases driving the growth of data fabric. To qualify for inclusion in the Data Fabric category, a product must: - Perform data management processes on a single unified platform - Pull and connect or collaborate on data from disparate sources across locations - Manage data across all environments (multi-cloud and on-premises) - Allow single, seamless access and control to data across sources and types - Provide analytics tools and connectivity to other analytical solutions - Offer metadata functionality with data currency and data lineage capabilities Top Tools at a Glance | | Zero-copy data access inside ServiceNow workflows | User Review "Zero-Copy, Real-Time Intelligence with ServiceNow Workflow Data Fabric" | | | SAP-native federated data fabric with semantic preservation | User Review "SAP Datasphere Simplifies Multi-Source Data Consolidation and Integration" | | | Entity-based data fabric for real-time access | User Review "A Dependable Platform for Managing Complex Enterprise Data" | | | Low-code data warehouse automation with lineage | User Review "TimeXtender Classic is still a Classic!" | | | Federated data virtualization across heterogeneous sources | User Review "Denodo’s Real-Time Data Virtualization Makes Integration Fast and Flexible" | | | Managed Airflow orchestration with infrastructure abstraction | User Review "Asro literally assists in data engineering work, making it easier and more productive." | | | Cross-silo data fabric with unified governance | User Review "Must have tool for businesses that gather data in ocean" | | | Multi-source ELT with zero-transformation analytics | User Review "Great platformand support" | | | Unified data fabric with AI-governed virtualization | User Review "Comprehensive solution for data-intensive workflows" | | | Multi-model unstructured data fabric with enterprise search | User Review "I am technical support engineer working with Microsoft with azure identity" | * * * Show More * * * ## How Do You Choose the Right Data Fabric Software? ### What You Should Know About Data Fabric Software ### What is Data Fabric Software? Data fabric software is an architecture that connects sources, types, and the location of data and provides end-to-end data integration. It is a unified environment for data services and technologies, helping with data management. Using this platform, organizations can collect enterprise data from disparate sources and provide it to various teams within the company without external help. The data is pulled by APIs from data warehouses, data lakes, databases, and apps. Data fabric software can be enhanced by incorporating artificial intelligence (AI) or machine learning (ML). AI-powered versions of these tools provide personalized recommendations to select datasets which can boost the speed of data science projects.  Data assets are usually generated in silos, while data preparation cycles in the data pipeline are long and take up a lot of time, affecting an organization’s data optimization. Data fabric systems help standardize data management practices across cloud, on-premises, and edge services. These tools usually include various data management technologies like [data catalog](https://www.g2.com/categories/machine-learning-data-catalog), [governance](https://www.g2.com/categories/data-governance), virtualization, integration, pipeline, and orchestration. Data fabric software helps users access data using unique workflows while also democratizing data, allowing data citizens to access information across the organization. Using this tool gives companies a holistic view of the business process. ### What are the Common Features of Data Fabric Software? The following are some core features of data fabric software that can help users in various ways: **Unified data environment:** Data fabric software creates an architecture that integrates various data management processes like data collaboration, data discovery, data analytics, data visualization, data access, and data control on a single platform. This eliminates the need for multiple data integration products. **Data collaboration and sharing:** Data fabric software allows data connectivity into a single unified view, helping data to be accessed by or shared with internal and external applications. **Governance and compliance:** Data owners remain in full control of who can visit, edit, download, or query their datasets. Data fabric software enables compliance, preserves integrity, and controls access. These tools also incorporate data quality in each step of data management. **Environment agnostic:** Data fabric software allows data management across multiple environments such as on-premises, in the cloud, hybrid, and multi cloud. **Metadata management:** Data fabric has data lineage capabilities and currency of data, which means it contains data migration and transformation history. The currency of data defines the state of the data—active or archived. **Data analytics and visualization:** These tools use continuous analytics over the existing metadata assets for better business insights. ### What are the Benefits of Data Fabric Software? While there are many data management technologies like master data management, data hubs, and data lakes, data fabric differs from them in various ways.  **Enhanced data management:** Data fabric software helps retrieve, validate, and enrich data automatically. It helps in enterprise data integration and management. It also helps to provide a single unified view of the data, which allows end users to identify and track data easily and use it efficiently. Automation and integration help in dynamic data orchestration across a distributed ecosystem. **Easy to use:** Technical and non-technical users can use data fabric platforms. The architecture makes it possible to create various user interfaces. Business users can create sleek dashboards and use it for various other functions, while data scientists can also use it for deep data exploration. **Compatible with hybrid hosting environments:** Data fabrics are environment agnostic. It can help in bi-directional integration with almost all the components to create a fabric-like structure and eliminate the need for coding. Data fabric software supports on-premises, hybrid cloud, and multi-cloud environments. **High scalability:** Data fabric systems can manage data at an enterprise scale. It helps to ingest data automatically, which would typically remain unutilized. They are scalable with minimum interference and no investment requirement into expensive hardware or trained staff. The data architecture helps reduce big data complexity and ultimately drives strategic business outcomes. **Fast insights:** Automation of data engineering tasks and integration augmentation helps deliver real-time insights faster. Also, continuous data analytics used by data fabric also helps provide value through rapid access. Data fabric software combines data warehouses and data lakes and integrated data from multiple apps, providing services that help organizations monitor and control their data. **Seamless integration:** Data fabric software solves the common challenge of big data in organizations. This tool removes data silos through a holistic approach and helps in the seamless integration of data across various functions. Many workloads are moving to the cloud, and it requires data. Data fabric software streamlines this movement from the cloud to the data center or between hybrid clouds.  ### Who Uses Data Fabric Software? Data fabric platforms have various stakeholders within an organization.  **Data scientists:** Data scientists use data fabric software to explore deep and hidden enterprise data to share with other departments for actionable insights. **Business users:** The organization's business users, like marketers, can use these tools to make critical business decisions. Smart data fabric solutions are the emerging data architecture helping organizations fast-track their enterprise data initiatives.  #### Software Related to Data Fabric Software Following are some tools that can be used with data fabric software: [Machine learning data catalog software](https://www.g2.com/categories/machine-learning-data-catalog) **:** Machine learning data catalogs allow organizations to categorize, access, interpret, and collaborate data across multiple data sources and maintain a high level of governance and access management. Data fabric helps identify, collect, and analyze data sources and metadata.  [Data quality software](https://www.g2.com/categories/data-quality) **:** Data quality software uses a set of technologies to identify, understand, prevent, and correct issues with the data used for decision making. Data quality tools carry out critical functions like data profiling, parsing, standardization, cleansing, built-in workflow, and knowledge bases.  [Data governance software](https://www.g2.com/categories/data-governance) **:** Data governance software is used to enforce data-related policies. These products help establish guidelines, processes, and accountability measures to ensure data quality standards are met. Data governance tools enable organizations to develop a framework to know what data they own and how to use it optimally.  [Data preparation software](https://www.g2.com/categories/data-preparation) **:** Data preparation and delivery are important steps in data transformation and integration during the data pipeline lifecycle. Data preparation begins with loading data into a data platform from a data lake. Then data processing begins using extract, transform, load or extract, load, transform (ETL or ELT) tools. The result is prepared data. ### Challenges with Data Fabric Software Although data fabric systems aim at data management, there are some challenges when implementing its services. Below are a few challenges faced by organizations commonly: **Deployment and configuration of services:** Services may have to be deployed on multiple servers to optimize performance. This may require configuring services in specific ways for them to work together.  **Creating a data model and managing data:** A data model determines how data will be structured and organized. Thus it becomes necessary to build a data model that fulfills the organization's needs and can be managed easily. Data fabric unifies data across various data types and points using a semantic knowledge graph. One of the challenges is managing and saving data. Data is available in different formats; hence, the software must be able to handle and manage all kinds of data. Building an architecture that supports different environments is a challenge. **Integration with external systems:** Data fabric makes it possible to integrate with multiple systems. For integration with external systems, middleware software is usually created to mediate between these external systems and data fabric tools, managing their communication. The challenge here is that two communicating systems may have different architectures; thus, it is challenging to produce a single middleware. **Data security:** Data protection is paramount to any organization. One of the challenges, when data is being transferred from one point to another using data fabric tools, is that the data is vulnerable to attacks. However, this can be avoided by introducing firewalls to ensure safety. It is also essential to go beyond data masking and encryption to ensure total data protection. ### How to Buy Data Fabric Software? #### Requirements Gathering (RFI/RFP) for Data Fabric Software Data fabric software solves several data management concerns or challenges in an organization. Before purchasing data fabric software, it is important to understand the existing requirements of the organization. If an organization needs only deduplication and data validation, a data quality tool may help. Many organizations also choose data processing solutions such as ETL tools to process and integrate their data. Depending on where in the organization there is a need for data management, data fabric solutions can be chosen. #### Compare Data Fabric Software Products **Create a long list** A list of data fabric software vendors can help understand their offerings. The team in the organization can then evaluate the vendors that would fulfill the organization’s needs.  **Create a short list** After evaluating various data fabric solutions, the organization's decision makers can shortlist a few depending on which vendors fit the bill. **Conduct demos** After shortlisting vendors, companies should look for a demo. The demo gives a better understanding of the technical functionality of the software. Nowadays, data fabric tools come with artificial intelligence features. AI-based recommendations help faster data recovery. These could be some important features that the teams need to know. IT professionals, data scientists, as well as data management and business teams can attend the demo to evaluate the product from various perspectives.  #### Selection of Data Fabric Software **Choose a selection team** A selection team is a mix of technical users and business users like data scientists, data management teams, and marketing teams. Along with that, the team should have a key decision maker. **Negotiation** Once a vendor is selected for their software, it is advisable to understand their pricing and negotiate if necessary. The negotiation part entirely depends on the organization’s budget and the difference between the product pricing and the budget.  **Final decision** After both parties arrive at a mutually agreeable term, it is time to decide whether to buy the software.