The manufacturing industry is capitalizing on the data fabric applications to improve in strategic and real-time decision-making. The manufacturing industry works on thin margins; the operating margin reflected by this industry shows huge deviation on the profits and losses made by the organizations existing in this industry and is dynamic in nature. Therefore, the manufacturing industry has to continuously adapt to and change itself according to the unpredictable and disruptive innovations occurring in the market. Manufacturing industries handle multiple sets of data that need to be continuously captured and analyzed to streamline business applications and optimize business resources. The industry handles data from multiple sources such as in-factory data, along with analog data, images, raw sensor data, and information churned out from applications inside the factory and other sources, which include enterprise resource planning systems, manufacturing execution systems, time and attendance logs, supplier information, and various process automation and control systems. The data fabric helps them integrate, store, and analyze their data, which they can use to control their manufacturing systems and increase productivity.

Data Fabric Software in Manufacturing

Comparing 29 vendors in Data Fabric Software across 174 criteria.
2 Experts are advising 53 buyers
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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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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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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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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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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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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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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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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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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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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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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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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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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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