Data Fabric Software

Data Fabric Software Overview

Data fabrics are applications that connect application data to data from other applications with a network-based design. Businesses using data fabric software can access all data from the network and can combine data from different applications without having to worry about custom integrations between applications. For businesses with many sources of business data, data fabric software is easier to implement and performs data processes faster than other data management systems by eliminating data redundancy.

In addition to allowing for fast and efficient data processes, the flexibility of data fabric networks makes data silos less likely and allows for administrators to easily manage business data. The ability to connect, manage, and analyze large amounts of business data helps organizations to transform data and generate useful business insights.

Top Rated Data Fabric Products

TrustRadius Top Rated for 2021

These products won a Top Rated award for having excellent customer satisfaction ratings. The list is based purely on reviews; there is no paid placement, and analyst opinions do not influence the rankings. Read more about the Top Rated criteria.

Data Fabric Products

(1-14 of 14) Sorted by Most Reviews

The list of products below is based purely on reviews (sorted from most to least). There is no paid placement and analyst opinions do not influence their rankings. Here is our Promise to Buyers to ensure information on our site is reliable, useful, and worthy of your trust.
SAP Data Intelligence

SAP Data Intelligence

Customer Verified
Top Rated

SAP Data Intelligence is presented by the vendor as a single solution to innovate with data. It provides data-driven innovation in the cloud, on premise, and through BYOL deployments. It is described by the vendor as the new evolution of the company's data orchestration and management…

Oracle Coherence

Oracle Coherence is database management and development software.

HPE Ezmeral Data Fabric (MapR)

HPE Ezmeral Data Fabric (formerly MapR, acquired by HPE in 2019) is a software-defined datastore and file system that simplifies data management and analytics by unifying data across core, edge, and multicloud sources into a single platform. Just as a loom weaves multiple threads…

Denodo

Denodo is the eponymous data integration platform from the global company headquartered in Silicon Valley.

Talend Data Fabric

Talend data fabric is a tool for managing all of an enterprise's data with a network design. Talend allows users to connect data from many sources, whether they are on-prem or cloud-hosted.

Stardog

Stardog is a reusable, scalable knowledge graph platform that enables enterprises to unify all their data, including data sources and databases of every type, to get the answers needed to drive business decisions, from Stardog Union headquartered in Arlington.

Hitachi Lumada

Hitachi Vantara offers Hitachi Lumada, an Internet of Things management and analytics platform.

CluedIn

CluedIn is a data fabric technology from the company of the same name in Copenhagen, that aims to connect a company's tools, to keep users "clued-in"​ to what is happening across an organization. The solution aims to deliver data from source to its target faster, more reliable, higher…

Cinchy

50% of IT project budgets are wasted on integration. Cinchy is designed to help users minimize integration overheads and unlock IT capacity. By managing data as a network, Cinchy aims to replace the costly and inefficient approach of data integration using ETL and APIs. Cinchy’s…

Nexla

Nexla is presented as a converged data fabric, from the company of the same name in San Mateo, a data infrastructure for enterprises. Nexla's Nexsets are a logical entity encapsulating the understanding, not the copy, of data. They abstract data heterogeneity so that data users have…

K2View Data Fabric

K2View, headquartered in Dallas, provides an operational Data Fabric dedicated to making every customer experience personalized and profitable. The platform continually ingests all customer data from all systems, enriches it with real-time insights, and transforms it into a patented…

EraSearch, powered by EraDB

Purpose-built for cloud-native deployments, EraSearch is a log management solution built for high-volume workloads, powered by EraDB, from Era Software in Seattle. The vendor describes it as as solution that brings users a dynamic data fabric that leverages decoupled storage &…

IBM Cloud Pak for Data (formerly IBM Cloud Private for Data)

IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.

Fraxses

fraXses is a highly distributed data platform that enables intelligent data products and a virtualized data lake providing companies an on-demand, universal source of the truth. The mesh's architecture provides real-time access (internal or external) to data, as opposed to the traditional…

Learn More About Data Fabric Software

What is Data Fabric Software?

Data fabrics are applications that connect application data to data from other applications with a network-based design. Businesses using data fabric software can access all data from the network and can combine data from different applications without having to worry about custom integrations between applications. For businesses with many sources of business data, data fabric software is easier to implement and performs data processes faster than other data management systems by eliminating data redundancy.

In addition to allowing for fast and efficient data processes, the flexibility of data fabric networks makes data silos less likely and allows for administrators to easily manage business data. The ability to connect, manage, and analyze large amounts of business data helps organizations to transform data and generate useful business insights.

Features & Capabilities

Specific features for each data fabric software can vary, but below are some of the most common features offered by many data fabric software options.
  • Data networking and connecting

  • Data collaboration

  • Data analytics

  • Persistent data management

  • No data redundancy

  • Data access management

Pricing

Pricing for data fabric software varies largely depending on the product. While all data fabric software offers data networking, advanced analytics and privacy features can increase costs further. Additionally, most vendors do not provide detailed pricing information publicly, but interested buyers can reach out to vendors for a detailed quote.

Frequently Asked Questions

What are the benefits of data fabrics network-design for data integration?

The purpose of data fabric technology is to connect real-time data from any source within an organization, including apps, data stores, and operational systems into a single, manageable platform hosted either in the cloud, on premise, or within hybrid environments.

While many data fabrics achieve this objective via traditional approaches to data integration such as point-to-point APIs and ETL technology, the latest data fabric designs offer networked-based architectures. This data-as-a-network approach enables organizations to use0 data fabric software to build links between their datasets rather than transferring copies between their applications and data stores.

By eliminating copies as a method for data integration, a network-based design maintains a single set of organizational data and this simplifies the management of access controls, metadata, and data governance while the linking capability eliminates much of the cost and delay associated with API/ETL-based integrations.



How does data fabric software differ from data virtualization tools?

The biggest difference between data virtualization tools and data fabric software is that data virtualization software creates virtualized copies of data that users can access without seeing factors such as location or connections. In contrast, data fabric software allows users to connect original data sources so users can access data while also seeing the context surrounding the data. Leading data fabrics also allow for data creation by end users working directly on the data fabric itself. In this way, the data fabric provides a bridge between legacy apps and systems and net new data. By providing this connected persistence layer, this supports the creation of new solutions in the form of data blends, data models from both sources.

What businesses can benefit from data fabric software?

At one end of the spectrum, data fabric software is ideal for large complex businesses and public sector agencies that need to integrate thousands of fragmented data sources. These organizations will appreciate being able to easily connect their data sources in real-time for operational use as well as granting controlled access to operational data to their business users and trusted partners, rather than a virtualized copy (aka data democratization)

The primary use cases for Data Fabric technology include data mastering, automated data governance, data protection, data privacy, advanced and self-serve data analytics, digital twins, AI/ML modelling, and custom application builds.

At the other end of the spectrum, data fabric technology is being increasingly adopted by SMEs and startups seeking to simplify their data management infrastructure, eliminate data integration costs, and deploy new solutions at a much accelerated pace.