Best Data Fabric Software for On-Premises of 2024

Find and compare the best Data Fabric software for On-Premises in 2024

Use the comparison tool below to compare the top Data Fabric software for On-Premises on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    K2View Reviews
    K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.
  • 2
    Dagster+ Reviews

    Dagster+

    Dagster Labs

    $0
    Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is the platform of choice data teams responsible for the development, production, and observation of data assets. With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.
  • 3
    Nexla Reviews

    Nexla

    Nexla

    $1000/month
    Nexla's automated approach to data engineering has made it possible for data users for the first time to access ready-to-use data without the need for any connectors or code. Nexla is unique in that it combines no-code and low-code with a developer SDK, bringing together users of all skill levels on one platform. Nexla's data-as a-product core combines integration preparation, monitoring, delivery, and monitoring of data into one system, regardless of data velocity or format. Nexla powers mission-critical data for JPMorgan and Doordash, LinkedIn LiveRamp, J&J, as well as other leading companies across industries.
  • 4
    Senzing Reviews
    Senzing® entity resolution API software provides the most advanced, affordable, and easy-to-use data matching and relationship detection capabilities available. With Senzing software, you can automatically resolve records about people, organizations and their relationships in real time as new data is received. The highly accurate and complete views Senzing software delivers allow you to reduce costs and enable new revenue opportunities. Senzing provides a set of libraries that that can be deployed on premises or in the cloud, in a variety of ways, depending on your architecture and environment requirements. Data remains in your ecosystem and never flows to Senzing, Inc. Minimal data preparation is required when and no tuning, training or entity resolution experts are needed. A free proof of concept can be completed in about six hours on AWS or bare metal. You can try the Senzing API on up to 100K records for free.
  • 5
    Querona Reviews
    We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.
  • 6
    Tengu Reviews
    TENGU is a Data orchestration platform that serves as a central workspace for all data profiles to work more efficiently and enhance collaboration. Allowing you to get the most out of your data, faster. It allows complete control over your data environment in an innovative graph view for intuitive monitoring. Connecting all necessary tools in one workspace. It enables self-service, monitoring and automation, supporting all data roles and operations from integration to transformation.
  • 7
    Trustgrid Reviews
    Trustgrid is the SD-WAN for software providers. The Trustgrid platform uniquely addresses the needs of SaaS application providers who rely on customer or partner-controlled environments. By combining an SD-WAN 2.0, edge computing, and zero trust remote access into a single platform we allow software providers to manage and support distributed application environments from the cloud to the edge. Simplify connectivity, enhance security, and guarantee network availability with Trustgrid.
  • 8
    Veracity Data Fabric Reviews

    Veracity Data Fabric

    Veracity

    €420 per year
    Veracity Data Fabric provides secure data management for cloud and on-premise. It allows you to store all your data, from data streams to data objects, in one place. Secure sharing mechanisms allow you to share this information. You can work on your own data, or share it with other data sets. We offer secure technology and access multiple industry-relevant data providers and analytics providers. You decide if and how to use them. SAS keys (shared access signature) allow data sharing. These keys can be used to grant and deny access. The ledger can track and be viewed by the container owner to show the activities related to the stored data. Only authorized platform users can share keys.
  • 9
    IBM Cloud Pak for Data Reviews
    Unutilized data is the biggest obstacle to scaling AI-powered decision making. IBM Cloud Pak®, for Data is a unified platform that provides a data fabric to connect, access and move siloed data across multiple clouds or on premises. Automate policy enforcement and discovery to simplify access to data. A modern cloud data warehouse integrates to accelerate insights. All data can be protected with privacy and usage policy enforcement. To gain faster insights, use a modern, high-performance cloud storage data warehouse. Data scientists, analysts, and developers can use a single platform to create, deploy, and manage trusted AI models in any cloud.
  • 10
    Talend Data Fabric Reviews
    Talend Data Fabric's cloud services are able to efficiently solve all your integration and integrity problems -- on-premises or in cloud, from any source, at any endpoint. Trusted data delivered at the right time for every user. With an intuitive interface and minimal coding, you can easily and quickly integrate data, files, applications, events, and APIs from any source to any location. Integrate quality into data management to ensure compliance with all regulations. This is possible through a collaborative, pervasive, and cohesive approach towards data governance. High quality, reliable data is essential to make informed decisions. It must be derived from real-time and batch processing, and enhanced with market-leading data enrichment and cleaning tools. Make your data more valuable by making it accessible internally and externally. Building APIs is easy with the extensive self-service capabilities. This will improve customer engagement.
  • 11
    Infinidat Elastic Data Fabric Reviews
    The phenomenal growth in consumer datasphere over the past decade is now being eclipsed by exponential growth rates for business data. This presents new challenges and opportunities for cloud service providers and enterprises, and requires a fundamentally different approach to building and scaling storage infrastructure. Infinidat Elastic Data Fabric represents our vision for the evolution in enterprise storage from traditional hardware appliances to elastic data center-scale pooles of high-performance, highly-reliable, low-cost digital storage with seamless mobility within the data centre and the public cloud. The tsunami of digital transformation has created a similar problem for enterprise technologists across all industries. Traditional hardware-based storage arrays can be expensive, difficult to manage, and far too small to meet the demands of the digital age. They must evolve into software-defined on-premises enterprise storage cloud.
  • 12
    Stratio Reviews
    A secure, unified business data layer that provides instant answers to business and data teams. Stratio generative AI fabric covers the entire lifecycle of data from discovery, governance, use, and disposal. You have data scattered all over your organization. Different divisions use different applications to accomplish different tasks. Stratio uses AI technology to locate all your data, on-premises or in the cloud. You can be confident that your data is being treated appropriately. You will never be able to move as quickly as your customers if you don't have access to your data immediately after it is generated. It can take hours for most data infrastructures to process customer data. Stratio can access 100% of your data without moving it in real-time, so that you can act quickly and without losing context. Companies will only be able move to instant AI by unifying operational and informational data in a collaborative platform.
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