Best Data Fabric Software
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:
Best Data Fabric Software At A Glance
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- Overview
- Pros and Cons
- User Satisfaction
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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 delive
- Information Technology and Services
- Computer Software
- 44% Mid-Market
- 41% Enterprise
299,880 Twitter followers
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- Pros and Cons
- User Satisfaction
- Seller Details
Workflow Data Fabric is our data foundation within our platform that unifies data across the enterprise to provide real-time, secure, and governed access to any data source to enable employees and AI
- 57% Enterprise
- 25% Mid-Market
51,662 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Dataplex Break free from data silos with Dataplex’s intelligent data fabric that enables organizations to centrally discover, manage, monitor, and govern their data across data lakes, data warehouses,
- Information Technology and Services
- 39% Enterprise
- 39% Small-Business
32,750,646 Twitter followers
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- User Satisfaction
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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 di
- Information Technology and Services
- Computer Software
- 58% Enterprise
- 28% Mid-Market
1,664 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Your data is anywhere and everywhere, in every form imaginable. And it’s growing by the minute, stored in public clouds, private clouds and on premises. Your teams leverage it to do their jobs. Your b
- Information Technology and Services
- 42% Mid-Market
- 33% Small-Business
119,705 Twitter followers
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- Pros and Cons
- User Satisfaction
- Seller Details
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
- Insurance
- Banking
- 56% Enterprise
- 26% Mid-Market
5,553 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
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. Run
- Computer Software
- Information Technology and Services
- 50% Enterprise
- 28% Small-Business
709,764 Twitter followers
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- Pros and Cons
- User Satisfaction
- Seller Details
The MarkLogic Data Hub Platform integrates and curates your enterprise data to provide immediate business value. Running on a NoSQL foundation for speed and scale, it’s multi-model, elastic, transacti
- Information Technology and Services
- Computer Software
- 54% Enterprise
- 25% Small-Business
49,683 Twitter followers
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- Pros and Cons
- User Satisfaction
- Seller Details
See the Value in Your Data. Flexible analytics and visualization platform. Real-time summary and charting of streaming data. Intuitive interface for a variety of users. Instant sharing and embedding o
- Software Engineer
- Senior Software Engineer
- Information Technology and Services
- Computer Software
- 45% Mid-Market
- 36% Enterprise
63,875 Twitter followers
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- User Satisfaction
- Seller Details
Cloudera Navigator is a complete data governance solution for Hadoop, offering critical capabilities such as data discovery, continuous optimization, audit, lineage, metadata management, and policy en
- Information Technology and Services
- 48% Enterprise
- 38% Small-Business
107,764 Twitter followers
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- Pros and Cons
- User Satisfaction
- Seller Details
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 enginee
- 60% Enterprise
- 40% Mid-Market
20,741 Twitter followers
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- Pros and Cons
- User Satisfaction
- Seller Details
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 scientist
- Data Engineer
- Senior Data Engineer
- Information Technology and Services
- Computer Software
- 48% Mid-Market
- 37% Enterprise
5,679 Twitter followers
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- User Satisfaction
- Seller Details
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
- Financial Services
- 50% Mid-Market
- 35% Enterprise
469 Twitter followers
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- User Satisfaction
- Seller Details
K2view Data Product Platform gets your data AI-ready: protected, complete, and accessible in a split-second. AI-ready datasets are packaged as products, allowing you to reuse them at scale and across
- 40% Small-Business
- 30% Enterprise
141 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Mosaic is the art of data management. Create your bigger picture with our Mosaic line of data products. It offers trusted tools that optimize the way you discover, evaluate, and visualize quality insi
- 50% Small-Business
- 42% Mid-Market
228 Twitter followers
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- Pros and Cons
- User Satisfaction
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Access 1000s of APIs and get the data you need.
- 64% Small-Business
- 27% Mid-Market
- Overview
- User Satisfaction
- Seller Details
TENGU originated in 2016 as a solution to automate non-value generating tasks and more quickly set up data architectures, so there would be more time to dedicate to gaining actionable insights. In 202
- Computer Software
- 50% Mid-Market
- 38% Small-Business
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- Pros and Cons
- User Satisfaction
- Seller Details
Built by a data team, for data teams, Atlan is THE Active Metadata platform for enterprises to find, trust, and govern AI-ready data, and a leader in The Forrester Wave™: Enterprise Data Catalogs, Q3
- Financial Services
- Information Technology and Services
- 55% Mid-Market
- 39% Enterprise
9,550 Twitter followers
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- Pros and Cons
- User Satisfaction
- Seller Details
Uffizzi drives 20-50% improvements in development velocity by empowering software development teams with ephemeral environments (also known as preview environments). By providing these environments "o
- Accounting
- 63% Enterprise
- 25% Mid-Market
1,449 Twitter followers
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- Pros and Cons
- User Satisfaction
- Seller Details
Altair® Graph Studio™ (formerly Anzo) is a comprehensive data discovery and integration toolset that applies a semantic, graph-based data fabric layer over diverse enterprise data sources. This semant
- 45% Small-Business
- 36% Mid-Market
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- Pros and Cons
- User Satisfaction
- Seller Details
A Trailblazing, No code, All in one Data fabric platform. SCIKIQ, a no-code data management /fabric platform powered by AI, addresses key data challenges for medium to large organizations. - Empowe
- 36% Small-Business
- 36% Enterprise
8 Twitter followers
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- Pros and Cons
- User Satisfaction
- Seller Details
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 – fro
- 42% Mid-Market
- 33% Small-Business
65,014 Twitter followers
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- User Satisfaction
- Seller Details
CluedIn is the modern Master Data Management platform that accelerates the time it takes to prepare data for insight by up to 80%. Our zero-modeling, schemaless approach means that data stewards no lo
- 36% Enterprise
- 36% Mid-Market
2,474 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Fraxses by Intenda is a data management platform used by organisations across multiple industries. It enables organisations to connect all their data sources in a single ecosystem, with full lineage a
- 60% Small-Business
- 40% Mid-Market
52 Twitter followers
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- User Satisfaction
- Seller Details
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.
- 60% Mid-Market
- 20% Enterprise
84,092 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Always be ready to answer tomorrow’s questions today. Promethium is on a mission to help every business to be data driven by enabling every employee to make data driven decisions in real time without
- 46% Mid-Market
- 31% Enterprise
- Overview
- User Satisfaction
- Seller Details
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 creatin
- 60% Mid-Market
- 20% Enterprise
- Overview
- User Satisfaction
- Seller Details
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 a
- 67% Mid-Market
- 33% Small-Business
28,760 Twitter followers
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- User Satisfaction
- Seller Details
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
- 67% Small-Business
- 33% Mid-Market
- Overview
- User Satisfaction
- Seller Details
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 insig
- 40% Mid-Market
- 30% Enterprise
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
PurpleCube is a Unified Data Orchestration Platform that helps organizations become more data-centric and drive data democratization.
- 67% Small-Business
- 33% Mid-Market
- Overview
- User Satisfaction
- Seller Details
Veracity Data Fabric provides data management functionality for cloud and on-premise for an improved data visibility, insights, access control and security.
- 67% Mid-Market
- 33% Small-Business
336 Twitter followers
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- Pros and Cons
- User Satisfaction
- Seller Details
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
- 67% Small-Business
- 25% Mid-Market
5,590 Twitter followers
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- User Satisfaction
- Seller Details
An enterprise-class, evergreen, infinitely scalable & fully managed decision support platform… EntelliFusion is a comprehensive decision support capability. Rather than piecemeal together severa
- 50% Small-Business
- 50% Mid-Market
- Overview
- User Satisfaction
- Seller Details
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 integrati
- 42% Small-Business
- 42% Enterprise
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- Pros and Cons
- User Satisfaction
- Seller Details
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
- Computer Software
- Financial Services
- 65% Mid-Market
- 19% Small-Business
929 Twitter followers
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- User Satisfaction
- Seller Details
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
- 100% Mid-Market
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- User Satisfaction
- Seller Details
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 ent
- 60% Mid-Market
- 33% Small-Business
1,231 Twitter followers
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- User Satisfaction
- Seller Details
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 pla
- 33% Enterprise
- 33% Mid-Market
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- User Satisfaction
- Seller Details
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.
- 100% Mid-Market
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- User Satisfaction
- Seller Details
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 organi
- 100% Mid-Market
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- User Satisfaction
- Seller Details
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, whic
- 60% Mid-Market
- 20% Enterprise
18 Twitter followers
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- User Satisfaction
- Seller Details
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
- 50% Enterprise
- 25% Mid-Market
26 Twitter followers
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- User Satisfaction
- Seller Details
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 del
- 100% Enterprise
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- User Satisfaction
- Seller Details
Delphix is the industry leader in programmable data infrastructure. Delphix automates the biggest constraint in digital transformation programs—the data. The Delphix Data Platform works with a broad s
- 50% Enterprise
- 50% Mid-Market
5,141 Twitter followers
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- User Satisfaction
- Seller Details
Infinidat Elastic Data Fabric is our vision for the evolution of enterprise storage from traditional hardware appliances into elastic data center-scale pools of high-performance, highly reliable, low-
- 100% Mid-Market
2,318 Twitter followers
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- User Satisfaction
- Seller Details
NETGENIQ Electronic Security provides critical operational insights across complete security systems - physical, electronic and human and to an individual component level.
- 100% Mid-Market
- Overview
- User Satisfaction
- Seller Details
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 genera
- 100% Mid-Market
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- User Satisfaction
- Seller Details
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 t
- 100% Enterprise
2,256 Twitter followers
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- User Satisfaction
- Seller Details
Talon FAST™ software allows you to leverage the power of the cloud and simplify local branch office IT while cutting your IT and egress costs. Through local file caching you can store active data loca
- 100% Mid-Market
275 Twitter followers
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- User Satisfaction
- Seller Details
Bright Machines' Data Hub is a comprehensive software solution designed to enhance manufacturing operations by integrating advanced data analytics and visualization tools. It enables manufacturers to
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- User Satisfaction
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CData Software offers a comprehensive suite of enterprise data connectivity solutions designed to address modern data challenges, including seamless access, replication, and movement of data across cl
3 Twitter followers
- Overview
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- User Satisfaction
- Seller Details
Try Collibra for free @ Collibra.com/tour Collibra is for organizations with complex data challenges, hybrid data ecosystems—and big ambitions for data and AI. We help organizations who are trying
- Financial Services
- Banking
- 74% Enterprise
- 19% Mid-Market
5,744 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Indicium's Data Strategy Consultancy offers comprehensive services designed to transform businesses into data-driven organizations. By deeply understanding each client's unique data needs and challeng
- Overview
- User Satisfaction
- Seller Details
Data Island is a technology solutions provider dedicated to assisting businesses in optimizing their technology investments through a comprehensive suite of services. These services encompass project
- Overview
- User Satisfaction
- Seller Details
Relyance AI's Data Lineage solution offers comprehensive, real-time visibility into data flows across an organization's entire ecosystem, including applications, third-party vendors, microservices, an
- Overview
- User Satisfaction
- Seller Details
Indicium's Data Products are custom-designed solutions that transform raw data into actionable insights, driving business growth and innovation. Tailored to meet the unique needs of each organization,
- Overview
- User Satisfaction
- Seller Details
Datavolo is a comprehensive data engineering platform designed to streamline the creation, management, and observability of multimodal data pipelines for AI systems. Leveraging the robust capabilities
- Overview
- User Satisfaction
- Seller Details
EDIX Architecture is a comprehensive framework designed to transform enterprises into cognitive organizations by integrating advanced AI and decision intelligence capabilities. It enables businesses t
- Overview
- User Satisfaction
- Seller Details
Enfabrica is a technology company specializing in developing advanced hardware and software solutions to address the performance and scalability demands of artificial intelligence (AI) and high-perfor
- Overview
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- User Satisfaction
- Seller Details
eQube®-DaaS is a Low/No-Code Data Integration & Analytics Platform that establishes a Data Fabric connecting various sources in an organization. It enhances visibility and enables insights through
- 100% Small-Business
44 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Foundational is a comprehensive data management platform designed to enhance data quality, governance, and cost optimization by integrating seamlessly into existing development workflows. By analyzing
- Overview
- User Satisfaction
- Seller Details
We develop mission critical products and solutions for the Australian Defence Force.
- 100% Small-Business
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Global IDs is an innovative software company delivering purpose-built solutions for data-centric organizations. Global IDs is committed to helping organizations of any size solve business problems wit
- 33% Enterprise
- 33% Mid-Market
4,011 Twitter followers
- Overview
- User Satisfaction
- Seller Details
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 ope
- Hospital & Health Care
- Computer Software
- 65% Small-Business
- 20% Enterprise
62,475 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Predactiv Data Platform is a product that is transforming how data can be leveraged, delivering actionable insights and scalable solutions that drive impact, optimize strategy, and fuel growth.
- Overview
- User Satisfaction
- Seller Details
SKAIDOCK is a space-qualified data processing unit designed as a carrier board for Xiphos Q8(S) modules, which are equipped with Xilinx Zynq UltraScale+ Multi-Processor System-on-Chip (MPSoC). It feat
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A comprehensive enterprise data management solution designed to handle various data initiatives, the Syniti Knowledge Platform (SKP) integrates capabilities for data migration, quality, governance, an
- 69% Enterprise
- 46% Mid-Market
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- User Satisfaction
- Seller Details
XponentL Data specializes in transforming complex data environments into strategic assets, delivering market-leading solutions designed to maximize return on investment. By bridging the gap between da
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X-TRACT is a comprehensive data integration and augmentation solution designed to create a dynamic digital twin of your enterprise. By seamlessly combining your internal data with a wide array of exte
Learn More 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, 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: 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: 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: 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: 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.
