IT departments in banks always face the challenge of getting settlement system related data along with their availability for analysis and evaluations. Earlier, the data systems mostly worked independently and transferred data through a defined interface and at a pre-determined schedule. However, in the present times, the requirements have increased which include real-time analysis of the entire operational warehouse. Data fabric provides a central management and analysis of data that are collected from multiple sources. It further helps implement cost-efficient, flexible, and scalable data processing, storing, and analyzing technologies. These are the reasons why BFSI is considered to be the most prominent user of data fabric. Data fabric for BFSI organizations offers multiple benefits such as business agility, cost savings, and affirmation of business stability.

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Below criteria are most commonly used for comparing Data Fabric Software tools.
  • Breadth and Depth of Product Offerings
    • Solutions Offered
    • Licenses
    • Services
      • Education & Training
      • Support & Maintenance
      • Managed Services
      • Consulting Services
      • Deployment & Integration Services
    • Integration
      • Apache Spark
      • Apache Kafka
      • Apache Hadoop
      • Apache Storm
      • Apache Ranger
      • Enterprise Data Warehouses (EDWs) / External Databases
      • NoSQL
      • Others
  • Product Features and Functionality
    • Self-service Capabilities
    • Features Offered
      • Metadata Management
      • Data Governance
      • Data Virtualization
      • In-Memory Data Access
      • Distributed Computing
      • Data Transformation
      • Data Discovery
      • Data Quality
      • Data Integration
      • Data Security
      • Data Lineage
      • Data Orchestration
      • Specify Others
    • Data Prrocessing Techniques
      • Real-Time Streaming Data Processing (Data-in-Motion)
      • Batch Data Processing
    • Data Coverage
      • Unstructured Data
      • Semi-Structured Data
      • Structured Data
  • Delivery
    • End Users
      • Data Scientists
      • Business Analysts
      • Application Developers
      • Consultants
      • Other End Users
    • Deployment Model
      • Hosted / On-Cloud
      • Hybrid
      • On-Premise
    • Delivery Mode for Client Location
      • Subscription / Licensing
    • Channel of Delivery
      • Directly
      • Through Partners / Third-Party Vendors / MSSPs
  • Support and Services
    • Level of Support
    • Customer Redressal Mechanism/Program
    • services
      • Technical Support
      • Customer Support
      • Sales Support
      • Others, please specify
    • Channel for Delivery of Support Services
      • Remote Support
      • On-Site Support
  • Business Applications
    • Use Cases
      • Security Management
      • Fraud Detection
      • Risk and Compliance Management
      • Customer Intelligence
      • Sales Management
      • Marketing Management
      • Supply Chain Management
      • Business Process Management
      • Workforce Management
      • Other Cases
    • Business Functions Catered
      • Sales
      • Marketing
      • Human Resources (HR)
      • Finance
      • Product Development
      • Operations/Production
      • Supply Chain
      • Customer Service


  • 1

    Global IDS offers enterprise information management software, data ecosystem transparency suite, data ecosystem privacy suite, data ecosystem governance suite, data ecosystem rationalization suite, and data governance suite to cater to the data fabric needs. It provides companies with the software tools they need to move from ungoverned to governed data, while laying the foundation for data-centric computing in Hadoop/cloud infrastructures.

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    • Enterprise
    • 501 to 1,000
  • 2

    Denodo Technologies offers Denodo platform, which supports data fabric deployments such as big data analytics, virtual big data marts, IoT data processing, and real-time analytics. Additionally, it provides a comprehensive support for the Hadoop ecosystem to support enterprises with a Data Lake strategy (such as Vizient and Logitech). The strength of its offering is in delivering a centralized and unified data service fabric with security and real-time integration across various big data and traditional sources, comprising NoSQL, Hadoop, SaaS, and cloud. Denodo equips its clients with simple, easy-to-use data modeling capabilities and search and support features for various big data sources. Denodo products are simple and easy-to-use across various industry verticals. The company timely upgrades its products to equip its clients with faster technology.

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    • Startup
    • Palo Alto, California, US
    • Founded: 1999
    • $11MN to $50MN
    • 51 to 100
  • 3

    Oracle Coherence dynamically divides data across all data grid nodes. The capacity of the data grid is linearly proportional to the number of data grid nodes as each data grid node possesses a configurable maximum amount of data that it will handle. It also maintains a customizable level of redundancy of data, automatically cutting out single points of failure (SPOFs) by assuring that data is kept synchronously up-to-date in multiple data grid nodes.

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    • Enterprise
    • California, USA
    • Founded: 1977
    • $10BN to $50BN
    • 1,00,001 to 5,00,000
  • 4

    IBM offers various data management services, which empower business verticals to connect distinct data management and storage resources and streamline data management. IBM InfoSphere Information Server Enterprise Edition is one of the services that help by providing end-to-end integration capabilities and qualitative data. It is a leading player in the data fabric market and other segments, including infrastructure storage and enterprise content division, to cater to the demands of its extensive clientele base. It helps organizations to keep their content organized and makes it easy for them to search with the help of AI-assisted tagging and content recommendations.

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    • Enterprise
    • New York, USA
    • Founded: 1911
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • 5

    Informatica is a leading player in providing data fabric solutions and services. The company majorly focuses on gathering relevant data, based on company preferences, from the raw data obtained from various data sources, including IoT devices and embedded applications and providing the data management through its data fabric service. The company also emphasizes on increasing its subscription revenue growth as compared to the other revenue growths. Informatica's Content Management Service handles the configuration information for address reference data. It also manages the list of the population files on the node.

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    • Enterprise
    • California, USA
    • Founded: 1993
    • $1BN to $5BN
    • 1,001 to 5,000
  • 6

    Netapp Data Fabric solution is created to deal with structured, semi-structured, and unstructured data. It helps in solving IT issues, such as gaining data visibility, increasing operational agility, and streamlining data protection. The company's Data Fabric connects varied data management environments without any intrusions via all clouds into an organized, integrated whole. It offers choice and control over management, security, protection, and access of data across all hybrid clouds. The solution has various features, such as cost effective, flexibility with cloud based data protection, integration with AltaVault, SnapMirror, easy-to-use SnapCenter, and streamlined deployment.

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    • Enterprise
    • 501 to 1,000
  • 7

    HPE offers software-defined storage that eliminates complexity and helps free the infrastructure from the limitations of the dedicated hardware. It is a software-defined data fabric for any workload. The softwaredefined storage building blocks comprise HPE StoreVirtual Storage, HPE Synergy, HPE Hyper Converged Systems, Network Function Virtualization, HPE ProLiant DL Gen9 rack servers, and HPE Helion OpenStack.

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    • Enterprise
    • California, USA
    • Founded: 2015
    • $10BN to $50BN
    • 50,001 to 75,000
    • Startup
    • California, USA
    • 51 to 100
  • 9

    Talend Data Fabric works as a platform and combines all integration products to resolve complex IT integration issues. This is a compatible platform for on-premises, cloud, and hybrid environments. It allows developers to use single integration tools in order to address various types of problems. With the use of Data Fabric platform, the company provides various products for big data integration, data integration, cloud integration, application integration, self-service data preparation, and master data management.

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    • SME
    • California, USA
    • Founded: 2005
    • $51MN to $100MN
    • 501 to 1,000
  • 10

    Software AG provides Terracotta In-Memory Data Fabric software solution. It stores a large amount of data that can be retrieved by multiple users in a fraction of a second. This enables fast and real-time data access and management with low latency. Terracotta can search data from a central depository without consuming time and provides scalable in-memory data management.

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    • Enterprise
    • Hessen, Germany
    • Founded: 1969
    • $500MN to $1BN
    • 1,001 to 5,000
  • 11

    VMware creates solutions that enable digital transformation for its customers as they transform their applications, infrastructure, and devices for their future business needs. VMware offers vFabric Data Director and Pivotal GemFire. Pivotal GemFire is a distributed data management platform. Pivotal GemFire is designed for many diverse data management situations but is especially useful for high-volume, latencysensitive, mission-critical, transactional systems.

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    • Enterprise
    • California, USA
    • Founded: 1998
    • $5BN to $10BN
    • 20,001 to 25,000
  • 12

    Syncsort offers DMX-h and Ironstream products in the data fabric market. Syncsort DMX-h is specifically designed to help achieve modern data strategy objectives with a single interface for accessing and integrating all enterprise data sources—batch and streaming—across Hadoop, Spark, Linux, UNIX, or Windows, on-premises or in the cloud.

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    • SME
    • New Jersey, USA
    • Founded: 1968
    • $101MN to $500MN
    • 501 to 1,000
  • 13

    Splunk offers enterprise machine data fabric, which facilitates insights from data to provide operational intelligence. It is enabled by the Splunk platform, which manages data collection and flows, understands where data sits and provides the analytics and visualizations to make sense of that data at any scale. The enterprise machine data fabric is a combination of the Splunk platform, solutions, and ecosystem. The Splunk platform enables the enterprise machine data fabric to be at the center of an enterprise data workflow.

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    • Enterprise
    • San Francisco, California, US
    • Founded: 2003
    • $500MN to $1BN
    • 1,001 to 5,000
  • 14

    Teradata offers data fabric enabled by Teradata QueryGrid. The data fabric weaves together multiple analytics, diverse data repositories, and disparate systems to provide business users a cohesive and uninterrupted analytics ecosystem. Teradata QueryGrid orchestrates query execution across multipleprocessing engines and repositories in a secure and optimized manner. It minimizes data movement and data duplication and processes data where it resides. It enables easy bi-directional data movement.

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    • Enterprise
    • California, USA
    • Founded: 1979
    • $1BN to $5BN
    • 10,001 to 15,000
    • Enterprise
    • 501 to 1,000
  • 16

    SAP SE offers SAP Vora, SAP BW/4HANA, and SAP IQ products to support data fabric. SAP HANA Vora is a complete, production-ready, fully integrated solution that reduces the time, cost, and effort of integrating multiple tools to handle complex, varied data sets. Powerful features make working with enterprise applications easier and more effective.

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    • Enterprise
    • Weinheim, Germany
    • Founded: 1972
    • $10BN to $50BN
    • 75,001 to 1,00,000
    • Enterprise
    • 501 to 1,000
    • Enterprise
    • 501 to 1,000
    • SME
    • 1 to 50
  • 20

    K2View offers K2View Fabric, a modern, distributed data management platform that rapidly integrates data from any source (RDBMS, big data, cloud, IoT, and more) and delivers it in real time to any end-user or application. K2View Fabric uses a proprietary data model to retrieve, manage, and store data called a Logical Unit.

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    • Startup
    • Dallas, Texas, US
    • Founded: 2009
    • Below $10 MN
    • 51 to 100
    • Enterprise
    • Le Petit-Quevill, France
    • Founded: 2013
    • 101 to 500
    • Enterprise
    • 501 to 1,000
    • Enterprise
    • 501 to 1,000


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Marie Stelle

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