Data Fabric Software
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.
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…
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.
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.
Denodo is the eponymous data integration platform from the global company headquartered in Silicon Valley.
Oracle Coherence is database management and development software.
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…
Hitachi Vantara offers Hitachi Lumada, an Internet of Things management and analytics platform.
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.
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…
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…
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 &…
Fraxses provides customers with access to data on demand, delivering insights via a solution that enables a data mesh or data fabric architecture. The Fraxses (meta)data platform boasts a decentralized architecture. While Fraxses fully supports traditional data integration processes,…
Pandio’s cloud-native managed solution simplifies data pipelines, with an architecture that automatically orchestrates data, models and ML tools.
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.
SCIKIQ is an AI-driven business Data Fabric framework that helps Data rich organizations overcome the Data silos and other limitations generated by complex multi-vendor, multi-cloud environments and deliver a trusted and real-time view of data across an enterprise in a short span…
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…
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…
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…
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…
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 and analytics solution that makes it possible…
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.
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 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.
Data Fabric Software Best Of Awards
The following Data Fabric Software offer award-winning customer relationships, feature sets, and value for price. Learn more about our Winter Best Of Awards methodology here.
Frequently Asked Questions
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.
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.