# Best Data Fabric Software - Page 2

  *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)*

   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





## Category Overview

**Total Products under this Category:** 76


## Trust & Credibility Stats

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 1,700+ 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.


## Best Data Fabric Software At A Glance

- **Leader:** [ServiceNow Workflow Data Fabric](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews)
- **Highest Performer:** [Incorta](https://www.g2.com/products/incorta/reviews)
- **Easiest to Use:** [TimeXtender](https://www.g2.com/products/timextender/reviews)
- **Top Trending:** [Astro by Astronomer](https://www.g2.com/products/astro-by-astronomer/reviews)
- **Best Free Software:** [TimeXtender](https://www.g2.com/products/timextender/reviews)


---

**Sponsored**

### Strategy Mosaic

Strategy Mosaic, from Strategy (formerly MicroStrategy), is an enterprise-grade universal semantic layer solution designed to enhance the capabilities of AI and Business Intelligence (BI) within organizations. It addresses critical challenges such as data fragmentation and inconsistent metrics, which lead to untrusted AI answers, compliance risks, and runaway cloud costs. The universal semantic layer that Mosaic provides serves as a centralized repository for business definitions, hierarchies, and security rules, ensuring that all users access consistent metrics and KPIs regardless of the tools they employ. This single source of truth is actively monitored by our integrated Sentinel layer, which moves you from reactive audits to proactive, real-time governance. Sentinel provides immediate intelligence on potential data breaches, compliance risks, and cost-saving opportunities, helping you optimize cloud spend and prevent violations before they happen. Additionally, Mosaic empowers organizations to build an auditable foundation for AI. By providing a layer of rich business context and consistent, human-readable definitions, Mosaic gives AI models the deep understanding required to provide more accurate and verifiable answers. This accelerates time to insight, allows you to end vendor lock-in, and dramatically reduces the total cost of ownership (TCO) by eliminating costly data rework and optimizing data management processes. In summary, Strategy Mosaic stands out by addressing the fundamental issues of data fragmentation and governance. Its robust connectivity, centralized semantic layer, and focus on delivering trusted data make it an invaluable tool for organizations aiming to enhance their analytics capabilities and leverage AI effectively.



[Visit company website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=paid_promo&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=2394&secure%5Bmedium%5D=sponsored&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1559674&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%3Fpage%3D2&secure%5Btoken%5D=7638bb85ebaaa04c7c81ad2a25b28362ac4b66f52703e9962f7cd25f93b8eac0&secure%5Burl%5D=https%3A%2F%2Fwww.strategysoftware.com%2Fstrategymosaic&secure%5Burl_type%5D=paid_promos)

---

## Top-Rated Products (Ranked by G2 Score)
  ### 1. [MapR-DB](https://www.g2.com/products/mapr-db/reviews)
  ndustry’s first edge to cloud data fabric that ingests and centralizes different types of data into a single logical infrastructure increasing data integrity and trust in data-driven insights.


  **Average Rating:** 3.3/5.0
  **Total Reviews:** 5

**User Satisfaction Scores:**

- **Governance:** 6.7/10 (Category avg: 8.9/10)
- **Data Integration:** 10.0/10 (Category avg: 8.8/10)
- **Ease of Use:** 7.9/10 (Category avg: 8.7/10)
- **Data Protection:** 8.8/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [HP Development Company](https://www.g2.com/sellers/hp-development-company)
- **Year Founded:** 1939
- **HQ Location:** Palo Alto, CA
- **Twitter:** @HPE (91,620 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1025/ (85,438 employees on LinkedIn®)
- **Ownership:** NYSE: HPQ

**Reviewer Demographics:**
  - **Company Size:** 60% Mid-Market, 20% Enterprise


  ### 2. [Promethium](https://www.g2.com/products/promethium/reviews)
  Promethium delivers self-service data at AI scale through its revolutionary Instant Data Fabric™ — the first agentic platform purpose-built for modern enterprises. Unlike traditional data architectures that require complex ETL pipelines and data movement, Promethium provides real-time, zero-copy access to distributed data across cloud, on-premises, and SaaS platforms. The platform's 360° Context Engine aggregates technical and business metadata to ensure accurate, contextual responses, while Mantra™, our Data Answer Agent, enables teams to build and share reusable data products instantly. Promethium empowers data teams to respond 10x faster to business questions while maintaining enterprise-grade governance and security.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 13

**User Satisfaction Scores:**

- **Governance:** 9.6/10 (Category avg: 8.9/10)
- **Data Integration:** 8.3/10 (Category avg: 8.8/10)
- **Ease of Use:** 7.8/10 (Category avg: 8.7/10)
- **Data Protection:** 10.0/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Promethium](https://www.g2.com/sellers/promethium)
- **Year Founded:** 2018
- **HQ Location:** Menlo Park, US
- **Twitter:** @PromethiumI (365 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/pm61data/ (38 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 46% Mid-Market, 31% Enterprise


#### Pros & Cons

**Pros:**

- Insights (4 reviews)
- Analytics (3 reviews)
- Collaboration (2 reviews)
- Data Management (2 reviews)
- Data Visualization (2 reviews)

**Cons:**

- Complexity (1 reviews)
- Complex Usage (1 reviews)
- Difficult Learning (1 reviews)
- Lacking Features (1 reviews)
- Limited Features (1 reviews)

  ### 3. [Streamscape](https://www.g2.com/products/streamscape/reviews)
  StreamScape is a technology for agile data preparation and real-time analysis that offers powerful query and schema-on-read capabilities, allowing users to aggregate any data on-demand without creating additional copies.


  **Average Rating:** 3.5/5.0
  **Total Reviews:** 5

**User Satisfaction Scores:**

- **Governance:** 8.7/10 (Category avg: 8.9/10)
- **Data Integration:** 8.7/10 (Category avg: 8.8/10)
- **Ease of Use:** 7.7/10 (Category avg: 8.7/10)
- **Data Protection:** 7.9/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Streamscape](https://www.g2.com/sellers/streamscape)
- **Year Founded:** 2011
- **HQ Location:** NEW YORK, US
- **LinkedIn® Page:** https://www.linkedin.com/company/2424726 (4 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 60% Mid-Market, 20% Enterprise


  ### 4. [Lumada Platform](https://www.g2.com/products/hitachi-vantara-lumada-platform/reviews)
  Lumada simplifies data management with automation and collaboration (DataOps). With Lumada, you can: Gain 360-degree views of your customers, products and assets. Streamline your business operations and take out cost. And, meet stringent compliance demands.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 3

**User Satisfaction Scores:**

- **Governance:** 10.0/10 (Category avg: 8.9/10)
- **Data Integration:** 10.0/10 (Category avg: 8.8/10)
- **Ease of Use:** 10.0/10 (Category avg: 8.7/10)
- **Data Protection:** 9.4/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Hitachi Vantara](https://www.g2.com/sellers/hitachi-vantara)
- **HQ Location:** Santa Clara, CA
- **Twitter:** @HitachiVantara (28,434 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/hitachi-vantara/ (10,576 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 67% Mid-Market, 33% Small-Business


  ### 5. [One Data](https://www.g2.com/products/one-data/reviews)
  One Data, a software company serving customers across all industries worldwide, has redefined the landscape of data product development with its market-first AI-powered Data Product Builder. Infusing AI into every stage of data product development, the platform cuts manual work, ensuring a rapid, easy, and cost-effective way to generate measurable business value from data. The profound expertise in data science and over a decade of experience in data-driven projects have led One Data to develop a platform that ensures the quality, integrity, and accessibility of data, promoting a data-driven culture and literacy across organizations. With the establishment of a Data Product Marketplace, One Data strategically dismantles data silos, creating a central space for data collaboration and seamless sharing. The company concentrates on bridging the gap between data experts and non-technical business users, enabling them to build, manage, and share data products efficiently while ensuring interoperability and high data quality. One Data is not just a software provider; they focus on people, driving business innovation, and utilizing data and analytics to power decision-making in a tangible, impactful manner.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 3

**User Satisfaction Scores:**

- **Governance:** 9.4/10 (Category avg: 8.9/10)
- **Data Integration:** 9.4/10 (Category avg: 8.8/10)
- **Ease of Use:** 9.4/10 (Category avg: 8.7/10)
- **Data Protection:** 8.9/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [One Data](https://www.g2.com/sellers/one-data)
- **Year Founded:** 2013
- **HQ Location:** Munich, Bavaria, Germany
- **LinkedIn® Page:** https://www.linkedin.com/company/one-data-it (191 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 67% Small-Business, 33% Mid-Market


  ### 6. [Palantir Gotham](https://www.g2.com/products/palantir-gotham/reviews)
  Palantir Gotham is a commercially-available, AI-ready operating system that improves and accelerates decisions for operators across roles and all domains. For over a decade, Gotham has surfaced insights from complex data for global defense agencies, the intelligence community, disaster relief organizations, and beyond. Gotham joins and enriches massive volumes of near-real time data and presents them in a single view that enables users to make faster, more confident decisions, together. Decision makers from headquarters to the forward deployed edge access the most recent understanding of the world, and can act while accounting for global tradeoffs and dependencies.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 9

**User Satisfaction Scores:**

- **Governance:** 10.0/10 (Category avg: 8.9/10)
- **Data Integration:** 9.2/10 (Category avg: 8.8/10)
- **Ease of Use:** 9.0/10 (Category avg: 8.7/10)
- **Data Protection:** 9.4/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Palantir](https://www.g2.com/sellers/palantir)
- **HQ Location:** Denver, US
- **Twitter:** @PalantirTech (408,561 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/palantir-technologies/ (5,509 employees on LinkedIn®)
- **Ownership:** PLTR (NYSE)

**Reviewer Demographics:**
  - **Company Size:** 40% Mid-Market, 30% Enterprise


  ### 7. [PurpleCube](https://www.g2.com/products/purplecube/reviews)
  PurpleCube is a Unified Data Orchestration Platform that helps organizations become more data-centric and drive data democratization.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 3

**User Satisfaction Scores:**

- **Governance:** 8.9/10 (Category avg: 8.9/10)
- **Data Integration:** 9.4/10 (Category avg: 8.8/10)
- **Ease of Use:** 9.4/10 (Category avg: 8.7/10)
- **Data Protection:** 8.3/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [PurpleCube](https://www.g2.com/sellers/purplecube)
- **Year Founded:** 2022
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** https://www.linkedin.com/company/purplecube-inc (7 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 67% Small-Business, 33% Mid-Market


#### Pros & Cons

**Pros:**

- Cost Efficiency (1 reviews)
- Data Integration (1 reviews)


  ### 8. [Veracity Data Fabric](https://www.g2.com/products/veracity-data-fabric/reviews)
  Veracity Data Fabric provides data management functionality for cloud and on-premise for an improved data visibility, insights, access control and security.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 3

**User Satisfaction Scores:**

- **Governance:** 8.9/10 (Category avg: 8.9/10)
- **Data Integration:** 8.3/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.7/10)
- **Data Protection:** 8.9/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Veracity](https://www.g2.com/sellers/veracity)
- **Year Founded:** 2014
- **HQ Location:** Portland, US
- **Twitter:** @VeracityMKTG (334 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/veracity-marketing/ (7 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 67% Mid-Market, 33% Small-Business


  ### 9. [data.world](https://www.g2.com/products/data-world/reviews)
  data.world is the most-adopted data catalog and governance platform on the market. Built on a unique knowledge graph foundation, data.world seamlessly integrates with your existing systems. We set the standard for swift, people-centric governance. We don't just manage data; we unlock its potential, paving the way for responsible AI adoption and data-driven decision-making at scale. data.world is a Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community with more than two million members, including ninety percent of the Fortune 500.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 12

**User Satisfaction Scores:**

- **Governance:** 10.0/10 (Category avg: 8.9/10)
- **Data Integration:** 10.0/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.8/10 (Category avg: 8.7/10)
- **Data Protection:** 10.0/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [data.world](https://www.g2.com/sellers/data-world)
- **Year Founded:** 2016
- **HQ Location:** Austin, Texas
- **Twitter:** @datadotworld (5,515 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/data.world/ (107 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 67% Small-Business, 25% Mid-Market


#### Pros & Cons

**Pros:**

- Analytics (1 reviews)
- Data Discovery (1 reviews)
- Data Management (1 reviews)
- Data Visualization (1 reviews)
- Ease of Use (1 reviews)

**Cons:**

- Poor Customer Support (1 reviews)
- Poor Support Services (1 reviews)

  ### 10. [EntelliFusion](https://www.g2.com/products/entellifusion/reviews)
  An enterprise-class, evergreen, infinitely scalable & fully managed decision support platform… EntelliFusion is a comprehensive decision support capability. Rather than piecemeal together several different platforms for data prep, data warehousing & governance, EntelliFusion's architecture provides a one-stop shop for outfitting an organizations data infrastructure. EntelliFusion is used for business intelligence, analytics & machine learning capabilities all in one. It is also fully managed; EntelliFusion customers have enjoyed Teksouth's long standing history of professional services to ensure successful project completion. We ensure every customer makes it to the finish line of their data driven culture transformation by acting as their sole outfitter and guide for the journey. KEY FEATURES - Data Sources: Data Agnostic, Loads structure and semi-structured data - EntelliFusion Studio™: Metadata Driven, Business rules applied across platform, Code re-use - Modern Data Warehouse: Built to scale-out, scale-infinitely, Cloud or On-premise ready, Robust, redundant & reliable - EntelliCache™: Efficiency increases with use, Institutes late binding, Agile business rules available instantly - Communication: Fully managed optimization, Compressed & encrypted, Secure transmission of sensitive data - Perspectives: Full control of data representation, Captions & definitions applied to define data elements - Presentation: Free ad-hoc query & dashboard web app, Connection to COTS BI tool of your choosing, Self-service near real time KPIs Teksouth was founded in 1982 in Birmingham, AL. For the last two decades Teksouth has been a government contractor for data management and decision support, even providing an early government cloud environment some 15 years ago. EntelliFusion has been built and innovated on for about two decades while we have serviced several large DoD clients, proving itself performant while evergreen, constantly innovated on and built on the latest and greatest Microsoft technologies and frameworks. In it's largest instance, EntelliFusion securely manages 22 terabytes of queryable data, integrating 226 interfaces. This instance services 15,000 annual users who perform roughly 30 million ad-hoc queries annually with an average response time of 4 seconds. Teksouth has since launched EntelliFusion commercially.


  **Average Rating:** 3.5/5.0
  **Total Reviews:** 4

**User Satisfaction Scores:**

- **Governance:** 7.5/10 (Category avg: 8.9/10)
- **Data Integration:** 8.3/10 (Category avg: 8.8/10)
- **Ease of Use:** 7.5/10 (Category avg: 8.7/10)
- **Data Protection:** 7.5/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Teksouth](https://www.g2.com/sellers/teksouth)
- **Year Founded:** 1982
- **HQ Location:** Gardendale, Alabama, United States
- **LinkedIn® Page:** https://www.linkedin.com/company/teksouth-corporation (156 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Mid-Market, 50% Small-Business


  ### 11. [Palantir Foundry](https://www.g2.com/products/palantir-foundry/reviews)
  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:** 4.1/5.0
  **Total Reviews:** 14

**User Satisfaction Scores:**

- **Governance:** 6.7/10 (Category avg: 8.9/10)
- **Data Integration:** 5.8/10 (Category avg: 8.8/10)
- **Ease of Use:** 7.6/10 (Category avg: 8.7/10)
- **Data Protection:** 7.5/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Palantir](https://www.g2.com/sellers/palantir)
- **HQ Location:** Denver, US
- **Twitter:** @PalantirTech (408,561 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/palantir-technologies/ (5,509 employees on LinkedIn®)
- **Ownership:** PLTR (NYSE)

**Reviewer Demographics:**
  - **Company Size:** 36% Enterprise, 36% Small-Business


#### Pros & Cons

**Pros:**

- AI Capabilities (1 reviews)
- AI Features (1 reviews)
- AI Integration (1 reviews)
- AI Modeling (1 reviews)
- Analysis Efficiency (1 reviews)

**Cons:**

- Expensive (1 reviews)
- Limited Customization (1 reviews)
- Limited Features (1 reviews)
- Limited Options (1 reviews)

  ### 12. [Secoda](https://www.g2.com/products/secoda/reviews)
  Secoda is an AI-powered data governance platform designed to help organizations explore, understand, and utilize their data effectively. By providing a comprehensive platform that connects to 75+ data sources, pipelines, warehouses, and visualization tools, Secoda aims to create a unified source of truth for businesses. This functionality is particularly valuable for organizations looking to enhance their self-serve analytics, streamline operations, and improve decision-making. Targeted at data teams, business stakeholders, and organizations of all sizes, Secoda serves as an essential tool for those who need to manage and interpret large volumes of data. Its user-friendly interface ensures that individuals with varying levels of technical expertise can leverage the platform to gain actionable insights. Companies such as Vanta, Cardinal Health, ID.me, and Dialpad have adopted Secoda to monitor the health of their data ecosystems, enhance the efficiency of their data teams, and scale AI readiness. One of Secoda’s core advantages is its ability to unify data cataloging, enterprise governance, and observability into a single, streamlined platform. This consolidation not only reduces the overhead of managing multiple tools but also powers Secoda AI with rich, connected context, enabling teams to focus on insights instead of infrastructure. Secoda automates key data management tasks including documentation, tagging, glossary term creation, and policy creation. This automation enables users to quickly discover and access relevant data and insights without extensive manual effort. By streamlining these processes, Secoda not only saves valuable time but also empowers teams to make confident, data-driven decisions based on current, well-organized information, ultimately driving better business outcomes. Overall, Secoda stands out in the data management landscape by offering a comprehensive, AI-driven solution that caters to the needs of both technical and non-technical users. Its ability to create a single source of truth, coupled with its integration of multiple functionalities into one platform, positions it as a valuable asset for organizations aiming to harness the full potential of their data.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 55

**User Satisfaction Scores:**

- **Governance:** 5.0/10 (Category avg: 8.9/10)
- **Data Integration:** 1.7/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.2/10 (Category avg: 8.7/10)
- **Data Protection:** 6.7/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Secoda](https://www.g2.com/sellers/secoda)
- **Year Founded:** 2021
- **HQ Location:** Toronto, CA
- **Twitter:** @SecodaHQ (934 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/secodahq/about (21 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Financial Services
  - **Company Size:** 65% Mid-Market, 18% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (31 reviews)
- Features (25 reviews)
- Customer Support (21 reviews)
- Data Lineage (19 reviews)
- Integrations (16 reviews)

**Cons:**

- Bug Issues (11 reviews)
- Bugs (11 reviews)
- Technical Issues (9 reviews)
- Learning Curve (5 reviews)
- Missing Features (5 reviews)

  ### 13. [Stratio](https://www.g2.com/products/stratio/reviews)
  Stratio is a market leader in the data management space with our end-to-end Generative AI Data Fabric product. It's the world-first and allows customers from banking, insurance, retail, manufacturing and other industries to use Generative AI in their company, with their data, with complete security. Our product uses Generative AI to give instant value from Enterprise Data directly to the business users who can automatically build self-service data products based on fully automated data access and data governance, security and quality, at an enterprise level and at scale. Learn more at www.stratio.com


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 2

**User Satisfaction Scores:**

- **Governance:** 10.0/10 (Category avg: 8.9/10)
- **Data Integration:** 9.2/10 (Category avg: 8.8/10)
- **Ease of Use:** 9.2/10 (Category avg: 8.7/10)
- **Data Protection:** 9.2/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Stratio](https://www.g2.com/sellers/stratio)
- **Year Founded:** 2014
- **HQ Location:** Pozuelo de Alarcón, Community of Madrid, Spain
- **LinkedIn® Page:** https://www.linkedin.com/company/stratiobd/ (273 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 100% Mid-Market


  ### 14. [ThinkData Works](https://www.g2.com/products/thinkdata-works/reviews)
  ThinkData Works offers a data catalog platform designed to improve the process of connecting, managing, and sharing data. Cut costs and improve productivity with unique features for virtualizing entire data warehouses, managing custom metadata and templates, and monitoring data health in real time. The result is a centralized view of refined data that can be better leveraged to drive business outcomes — with access and governance controls that support observability and compliance. - Build automated connections to data from any source - Manage, observe, and govern data on a platform as user-friendly as it is powerful - Easily and securely share data to any users, organizations, or applications https://www.thinkdataworks.com


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 14

**User Satisfaction Scores:**

- **Governance:** 10.0/10 (Category avg: 8.9/10)
- **Data Integration:** 9.2/10 (Category avg: 8.8/10)
- **Ease of Use:** 9.7/10 (Category avg: 8.7/10)
- **Data Protection:** 10.0/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [ThinkData Works](https://www.g2.com/sellers/thinkdata-works)
- **Year Founded:** 2014
- **HQ Location:** Toronto, CA
- **Twitter:** @thinkdataworks (1,212 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/9217518 (17 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 64% Mid-Market, 36% Small-Business


  ### 15. [Trustgrid](https://www.g2.com/products/trustgrid/reviews)
  The Trustgrid platform uniquely addresses the needs of SaaS application providers who rely on remote systems. By combining an SD-WAN 2.0, edge computing, and zero trust remote access into a single platform Trustgrid allows software providers to manage and support distributed application environments from the cloud to the edge. With the Trustgrid platform you can: • Build cloud to on-premise networks at scale • Manage and support 100s of networks from a single pane of glass • Control on-premise apps and appliances as if they were in the cloud • Provide your support teams secure access to edge application environments


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 2

**User Satisfaction Scores:**

- **Governance:** 10.0/10 (Category avg: 8.9/10)
- **Data Integration:** 8.3/10 (Category avg: 8.8/10)
- **Ease of Use:** 10.0/10 (Category avg: 8.7/10)
- **Data Protection:** 10.0/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Trustgrid](https://www.g2.com/sellers/trustgrid)
- **Year Founded:** 2016
- **HQ Location:** Austin, US
- **LinkedIn® Page:** https://www.linkedin.com/company/trustgrid (15 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 33% Enterprise, 33% Mid-Market


  ### 16. [Vexata Active Data Fabric](https://www.g2.com/products/vexata-active-data-fabric/reviews)
  Vexata Active Data Fabric is a new transformative new data infrastructure that lets you simply and cost-effectively maximize the performance and scale of your enterprise applications.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 2

**User Satisfaction Scores:**

- **Governance:** 10.0/10 (Category avg: 8.9/10)
- **Data Integration:** 9.2/10 (Category avg: 8.8/10)
- **Ease of Use:** 10.0/10 (Category avg: 8.7/10)
- **Data Protection:** 10.0/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Vexata](https://www.g2.com/sellers/vexata)
- **HQ Location:** San Jose, US
- **LinkedIn® Page:** https://www.linkedin.com/company/16227877 (9 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 100% Mid-Market


  ### 17. [Zetaris Platform](https://www.g2.com/products/zetaris-platform/reviews)
  Zetaris is the world's only true data fabric technology built with logical data warehousing, virtual data lakes, IoT and edge computing in mind. Our platform is specifically developed to enable organizations to connect to every possible data point that helps define an organization's decision


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 2

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [Zetaris](https://www.g2.com/sellers/zetaris)
- **HQ Location:** Melbourne, AU
- **LinkedIn® Page:** https://www.linkedin.com/company/zetaris/ (35 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 100% Mid-Market


  ### 18. [Canner Enterprise Cloud](https://www.g2.com/products/canner-inc-canner-enterprise-cloud/reviews)
  Canner Enterprise Cloud is a comprehensive cloud-based data access platform that provides secure, efficient, and intelligent access to data. Our cloud-based solution includes Data Virtualization, which eliminates the need for traditional data integration methods and enables real-time data access for informed decision-making. With Canner Enterprise Cloud, business users can easily access and explore data from their cloud applications, eliminating data silos and manual queries. Our platform also offers advanced access control features that allow users to easily define and manage user permissions based on their unique business context and persona, ensuring that only authorized users have access to sensitive data. Additionally, Canner Enterprise Cloud is flexible in deployment and can be deployed on AWS Cloud within a customer's cloud account, making it an ideal choice for data-sensitive enterprises. With extensive connectors and flexible licensing, our cloud-based solution is suited for medium to large enterprises, providing them with a faster, more secure, and cost-effective data access solution. By purchasing Canner's cloud version, businesses can enjoy the benefits of a flexible, scalable, and secure data access platform that is easily accessible from anywhere. The cloud version comes with an exclusive free trial, giving businesses the opportunity to try out the platform before committing. The self-serve software also allows businesses to take control of their data, creating a more efficient and streamlined data management process. With Canner's cloud version, businesses can take advantage of powerful features such as data virtualization, automated data management, data governance, and privacy protection, leading to greater efficiency and flexibility in their business processes.


  **Average Rating:** 3.6/5.0
  **Total Reviews:** 5

**User Satisfaction Scores:**

- **Ease of Use:** 9.0/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Canner, Inc.](https://www.g2.com/sellers/canner-inc)
- **Year Founded:** 2024
- **HQ Location:** Palo Alto, US
- **Twitter:** @cannerdata (18 Twitter followers)
- **LinkedIn® Page:** https://linkedin.com/company/cannertw (15 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 60% Mid-Market, 20% Small-Business


  ### 19. [Datafi](https://www.g2.com/products/datafi/reviews)
  Datafi unlocks enterprise data with AI — changing how everyone can find and use the business information they need, regardless of where or how it is stored across the enterprise data ecosystem. Our AI-powered platform connects data from all sources, while our AI-powered Agent transforms plain language questions into requests that find the information needed, while enforcing granular security and data quality controls. We empower everyone, from entry-level to executive-level, with their own personalized AI Agent. Our AI Agent is context aware, intent aware, and user aware, becoming smarter with each use while eliminating unwanted hallucinations. Join Datafi customers, partners and solution providers already powering their business with AI. Learn more at datafi.co


  **Average Rating:** 4.9/5.0
  **Total Reviews:** 4

**User Satisfaction Scores:**

- **Governance:** 8.3/10 (Category avg: 8.9/10)
- **Data Integration:** 6.7/10 (Category avg: 8.8/10)
- **Ease of Use:** 9.2/10 (Category avg: 8.7/10)
- **Data Protection:** 8.3/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Datafi](https://www.g2.com/sellers/datafi)
- **Year Founded:** 2020
- **HQ Location:** Seattle, US
- **Twitter:** @DatafiLabs (29 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/datafi-co/ (22 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Enterprise, 25% Mid-Market


  ### 20. [DDN Infinia](https://www.g2.com/products/ddn-infinia/reviews)
  DDN Infinia is a next-generation AI data intelligence platform that accelerates and unifies data pipelines across core, cloud, and edge environments. Purpose-built for modern AI workloads, Infinia delivers real-time data services, intelligent automation, and seamless data unification, maximizing efficiency and accelerating insights. With multi-tenancy at its core, Infinia ensures secure isolation and consistent performance for large-scale GPU clusters. Fully cloud-native, hardware-agnostic, and scalable, Infinia empowers enterprises to unlock the full potential of their AI infrastructure.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 1

**User Satisfaction Scores:**

- **Ease of Use:** 8.3/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [DataDirect Networks (DDN)](https://www.g2.com/sellers/datadirect-networks-ddn)
- **Year Founded:** 1998
- **HQ Location:** Los Angeles, California, United States
- **LinkedIn® Page:** https://www.linkedin.com/company/ddn/ (1,221 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 100% Enterprise


  ### 21. [InfiniBox](https://www.g2.com/products/infinibox/reviews)
  InfiniBox, high performance enterprise storage, eliminates performance, availability and scalability issues to accelerate critical business applications.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 4

**User Satisfaction Scores:**

- **Governance:** 10.0/10 (Category avg: 8.9/10)
- **Data Integration:** 10.0/10 (Category avg: 8.8/10)
- **Ease of Use:** 9.4/10 (Category avg: 8.7/10)
- **Data Protection:** 10.0/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Infinidat](https://www.g2.com/sellers/infinidat)
- **Year Founded:** 2011
- **HQ Location:** Waltham, US
- **Twitter:** @INFINIDAT (2,302 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/infinidat (512 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 125% Mid-Market


  ### 22. [InterSystems IRIS](https://www.g2.com/products/intersystems-iris/reviews)
  InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. It is the next generation of our proven data management software.It includes the capabilities of InterSystems Cache and Ensemble, plus a wealth of exciting new capabilities to make it easy to build and deploy cloud based, analytics-intensive enterprise applications with even greater performance and scalability. InterSystems IRIS provides a set of APIs to operate with transactional persistent data simultaneously: key-value, relational, object, document, multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. InterSystems IRIS includes an Interoperability engine and modules to build AI solutions. InterSystems IRIS provides features for horizontal scalability (sharding, ECP) and provides High Availability features, Business intelligence, transaction support, and backup.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 59

**User Satisfaction Scores:**

- **Governance:** 10.0/10 (Category avg: 8.9/10)
- **Data Integration:** 10.0/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.0/10 (Category avg: 8.7/10)
- **Data Protection:** 10.0/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [InterSystems](https://www.g2.com/sellers/intersystems)
- **Year Founded:** 1978
- **HQ Location:** Cambridge, MA
- **Twitter:** @InterSystems (61,515 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/6959 (2,080 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Hospital & Health Care
  - **Company Size:** 50% Small-Business, 28% Mid-Market


#### Pros & Cons

**Pros:**

- Features (9 reviews)
- Ease of Use (8 reviews)
- Performance (8 reviews)
- Customer Support (6 reviews)
- Easy Integrations (6 reviews)

**Cons:**

- Difficult Learning (6 reviews)
- Expensive (5 reviews)
- Insufficient Documentation (5 reviews)
- Learning Curve (5 reviews)
- Poor Documentation (5 reviews)

  ### 23. [NETGENIQ Electronic Security](https://www.g2.com/products/netgeniq-electronic-security/reviews)
  NETGENIQ Electronic Security provides critical operational insights across complete security systems - physical, electronic and human and to an individual component level.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 1

**User Satisfaction Scores:**

- **Governance:** 10.0/10 (Category avg: 8.9/10)
- **Data Integration:** 8.3/10 (Category avg: 8.8/10)
- **Ease of Use:** 10.0/10 (Category avg: 8.7/10)
- **Data Protection:** 10.0/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [NETGENIQ](https://www.g2.com/sellers/netgeniq)
- **HQ Location:** Sydney, AU
- **LinkedIn® Page:** https://www.linkedin.com/company/6454393 (2 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 100% Mid-Market


  ### 24. [Palantir HyperAuto](https://www.g2.com/products/palantir-hyperauto/reviews)
  HyperAuto is an out-of-the-box tool that automatically transforms ERP and CRM data into clean, intelligible tables and a human-centric semantic layer. Utilizing metadata, the data pipelines are generated dynamically, without the need to write any code, and can keep pace with changes in the structure of the source systems. The cleaned data can then be exported incrementally to an existing data lake / warehouse. With a common language amongst the data, a customer can use a tool to analyze the data and make key business decisions. Unlike a common ETL tool, HyperAuto also has first-class functionality for writing back to ERP and CRM systems, that makes the underlying data sets more valuable over time, saving time, resource allocation, and effort, while providing you the most accurate, and real-time data for decision making. This is coupled with Palantir's best-in-class data security and governance.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 1

**User Satisfaction Scores:**

- **Governance:** 10.0/10 (Category avg: 8.9/10)
- **Data Integration:** 10.0/10 (Category avg: 8.8/10)
- **Ease of Use:** 10.0/10 (Category avg: 8.7/10)
- **Data Protection:** 10.0/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Palantir](https://www.g2.com/sellers/palantir)
- **HQ Location:** Denver, US
- **Twitter:** @PalantirTech (408,561 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/palantir-technologies/ (5,509 employees on LinkedIn®)
- **Ownership:** PLTR (NYSE)

**Reviewer Demographics:**
  - **Company Size:** 100% Mid-Market


  ### 25. [Radiant Logic](https://www.g2.com/products/radiant-logic/reviews)
  Radiant Logic, the enterprise Identity Data Fabric company, provides the cornerstone of complex identity architectures in today’s digital world. With Radiant, it’s fast and easy to put identity data to work, connecting many disparate data sources across legacy and cloud infrastructures in real-time, without disruption. Our solution creates a solid identity data foundation that speeds the success of initiatives, including single sign-on, M&A integrations, identity governance and administration, cloud directory deployments, hybrid and multi-cloud environments, customer identity and access management, and more. Founded in 2000, Radiant Logic has been trusted by many household names. From the Fortune 1000 to government agencies, organizations across the globe rely on Radiant to deliver meaningfully faster time-to-value and unprecedented IT agility, while building a secure, future-proof identity infrastructure that meets real-world business demands. Learn more at www.radiantlogic.com


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 1

**User Satisfaction Scores:**

- **Ease of Use:** 10.0/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Radiant Logic](https://www.g2.com/sellers/radiant-logic)
- **HQ Location:** San Rafael, California, United States
- **Twitter:** @RadiantLogic (2,236 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/radiant-logic (155 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 100% Enterprise




## Parent Category

[IT Infrastructure Software](https://www.g2.com/categories/it-infrastructure)



## Related Categories

- [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms)
- [Machine Learning Data Catalog Software](https://www.g2.com/categories/machine-learning-data-catalog)
- [Data Governance Tools](https://www.g2.com/categories/data-governance-tools)



---

## Buyer Guide

### 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.