Best 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...

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All Products

(1-25 of 27)

1
SAP Data Intelligence

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…

2
TIBCO Data Virtualization

TIBCO Data Virtualization is an enterprise data virtualization solution that orchestrates access to multiple and varied data sources and delivers the datasets and IT-curated data services foundation for nearly any solution.

3
Denodo

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

4
illumex
0 reviews

While generative AI unlocks possibilities for enterprises, companies first need to guarantee that their underlying data is reliable so that any crucial business decisions made using AI are based on complete, definition-aligned, and accurate information. So illumex offers a turnkey Generative Semantic Fabric that streamlines the pr…

5
autumo ifaceX
0 reviews

ifaceX is an enterprise interface exchange, operation, monitoring, alarming and reporting platform that transfers Big Data from one endpoint to another, such as REST APIs, databases, CSV files and mails with interfaces like HubSpot, PayPal, AWS…

6
Google Cloud Dataplex

Available on Google Cloud, Dataplex’s intelligent data fabric enables organizations to centrally discover, manage, monitor, and govern their data across data lakes, data warehouses, and data marts with consistent controls, providing access to data and powering analytics. Pricing…

7
SCIKIQ
0 reviews

An Augmented data platform, SCIKIQ empowers organizations with a unified data management architecture. Its Data Lake/Hub approach integrates end-to-end data management processes, driving faster analytics and insights.


SCIKIQ aims to give Teams access to real time in…

8
IBM Cloud Pak for Data

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

9
Fraxses
0 reviews

Fraxses by Intenda is a distributed data platform that provides organisations with a framework on which to build a data fabric or data mesh architecture. While Fraxses fully supports traditional data integration processes, it advances a connect, not collect approach, whereby data is served to users directly from the source, without the need for a centrally own…

10
One Data
0 reviews

One Data is a software company based out of Germany that enables data experts to build data products that business users need.​ They offer a data integration tool called One Data Cartography, which helps businesses implement data mesh principles to accelerate value creation and improve their data management. The data mesh is an…

11
Stratio Augmented Data Fabric
0 reviews

The Stratio Augmented Data Fabric governs and manages a company’s data, offering a collaborative scenario to accelerate a company's AI strategy. Stratio's Product works as a CaaS and SaaS in any preferred public cloud, or as an installed Hybrid Platform in any of infrastructures.

12
Promethium Data Navigation System

A collaborative data and analytics solution built on top of Promethium's Data Fabric.

With it, there is no need for endless handoffs, tool switching and copying data. Data, analytics and business teams can collaborate with this data…

13
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…

14
Cinchy
0 reviews

The Cinchy Data Collaboration Platform liberates data from applications and allows for the management and control data as products, eliminating the need for future data integration. This is to support a more agile data ecosystem that makes change simple, rapidly accelerates business…

15
Astro by Astronomer

For data teams looking to increase the availability of trusted data, Astronomer provides Astro, a data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code.

Astronomer is the driving…

16
eQube® Integration Suite

The eQube® Integration Suite is a Low/ No-code platform that establishes a Digital Backbone for integrated applications. It provides an efficient infrastructure for APIs, enterprise application integration, federation, orchestration, synchronization, and data migration. APIs and interfac…

17
Stardog
0 reviews

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.

18
Pandio
0 reviews

Pandio’s cloud-native managed solution simplifies data pipelines, with an architecture that automatically orchestrates data, models and ML tools.

19
Talend Data Fabric

The Talend Data Fabric helps organizations to achieve and maintain complete, trustworthy, and uncompromised data, so that they can stay in control, mitigate risk, and drive value.

20
CluedIn
0 reviews

CluedIn is a Graph-based, Azure-native modern Master Data Management platform that accelerates how businesses prepare data to deliver insights. CluedIn can integrate hundreds more data sources than its nearest competitor. Its zero-modelling approach allows users to prepare, govern…

21
Nexla
0 reviews

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…

22
Cambridge Semantics Anzo
0 reviews

Cambridge Semantics in Boston offers Anzo, a data catalog that lets anyone find, connect and blend any enterprise data into analytics-ready datasets. Anzo’s graph data models provide business users with a visual map of enterprise data that is presented by the vendor as easy to understand…

23
Oracle Coherence

Oracle Coherence is database management and development software.

24
eQube®-Data as a Service (DaaS) Platform

The eQube Data-as-a-Service platform establishes a D…

25
Hitachi Lumada

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

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.

Related Categories

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.



What are the best data fabric software options?

There are many data fabric software choices, but some of the industry leaders include:

  1. Cinchy
  2. Talend Data Fabric
  3. IBM Cloud Pak for Data

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.