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Compare the Top Data Fabric Software of 2021

Data Fabric Software Guide

What is Data Fabric Software?

Data fabric software enables organizations to connect and integrate their data, processes, and applications in order to generate a holistic view of their data in order to improve processes and insights. Compare the best Data Fabric software currently available using the table below.

  • 1
    K2View

    K2View

    K2View

    K2View provides an operational data fabric dedicated to making every customer experience personalized and profitable. The K2View platform continually ingests all customer data from all systems, enriches it with real-time insights, and transforms it into a patented Micro-Database™ - one for every customer. To maximize performance, scale, and security, every micro-DB is compressed and individually encrypted. It is then delivered in milliseconds to fuel quick, effective, and pleasing customer interactions. K2View products include: • Data Fabric Software • Test Management Tools • Data Preparation Software Global 2000 companies – including AT&T, Vodafone, Sky, and Hertz – deploy K2View in weeks to deliver outstanding multi-channel customer service, minimize churn, achieve hyper-segmentation, and assure data compliance.
  • 2
    Lumada

    Lumada

    Hitachi

    Embed sensors for IoT use cases and enrich sensor data with control system and environment data. Integrate this in real time with enterprise data and deploy predictive algorithms to discover new insights and harvest your data for meaningful use. Use analytics to predict maintenance problems, understand asset utilization, reduce defects and optimize processes. Harness the power of connected devices to deliver remote monitoring and diagnostics services. Employ IoT Analytics to predict safety hazards and comply with regulations to reduce worksite accidents. Lumada Data Integration: Rapidly build and deploy data pipelines at scale. Integrate data from lakes, warehouses and devices, and orchestrate data flows across all environments.
  • 3
    Dataddo

    Dataddo

    Dataddo, Inc.

    No-code data integration, automation and transformation platform designed to work with any online data service such as HubSpot, Salesforce, Google Analytics, Facebook or Instagram. Dataddo easily connects all of the client's data with their BI, dashboards and data warehouse. Dataddo can transform and wire the data to a wide range of databases, DWHs, cloud storages, dashboarding and BI applications, allowing smooth interoperability with existing IT and BI stacks.
    Starting Price: $20/month/connection
  • 4
    Tengu

    Tengu

    Tengu

    TENGU is a DataOps Orchestration Platform that works as a central workspace for data profiles of all levels. It provides data integration, extraction, transformation, loading all within it’s graph view UI in which you can intuitively monitor your data environment. By using the platform, business, analytics & data teams need fewer meetings and service tickets to collect data, and can start right away with the data relevant to furthering the company. The Platform offers a unique graph view in which every element is automatically generated with all available info based on metadata. While allowing you to perform all necessary actions from the same workspace. Enhance collaboration and efficiency, with the ability to quickly add and share comments, documentation, tags, groups. The platform enables anyone to get straight to the data with self-service. Thanks to the many automations and low to no-code functionalities and built-in assistant.
  • 5
    data.world

    data.world

    data.world

    data.world is a fully managed service, born in the cloud, and optimized for modern data architectures. That means we handle all updates, migrations, and maintenance. Set up is fast and simple with a large and growing ecosystem of pre-built integrations including all of the major cloud data warehouses. When time-to-value is critical, your team needs to solve real business problems, not fight with hard-to-manage data software. data.world makes it easy for everyone—not just the "data people"—to get clear, accurate, fast answers to any business question. Our cloud-native data catalog maps your siloed, distributed data to familiar and consistent business concepts, creating a unified body of knowledge anyone can find, understand, and use. In addition to our enterprise product, data.world is home to the world’s largest collaborative open data community. It’s where people team up on everything from social bot detection to award-winning data journalism.
    Starting Price: $12 per month
  • 6
    SAP Data Intelligence
    Turn data chaos into data value with data intelligence. Connect, discover, enrich, and orchestrate disjointed data assets into actionable business insights at enterprise scale. SAP Data Intelligence is a comprehensive data management solution. As the data orchestration layer of SAP’s Business Technology Platform, it transforms distributed data sprawls into vital data insights, delivering innovation at scale. Provide your users with intelligent, relevant, and contextual insights with integration across the IT landscape. Integrate and orchestrate massive data volumes and streams at scale. Streamline, operationalize, and govern innovation driven by machine learning. Optimize governance and minimize compliance risk with comprehensive metadata management rules. Connect, discover, enrich, and orchestrate disjointed data assets into actionable business insights at enterprise scale.
    Starting Price: $1.22 per month
  • 7
    MarkLogic

    MarkLogic

    MarkLogic

    The MarkLogic Data Hub Platform integrates and curates your enterprise data to provide immediate business value. Running on a NoSQL foundation for speed and scale, it’s multi-model, elastic, transactional, secure, and built for the cloud.
    Starting Price: $18000.00/year
  • 8
    Cinchy

    Cinchy

    Cinchy

    Cinchy is the Worlds first data collaboration platform built for the enterprise. Highly-regulated organizations like banks, credit unions, and insurers use Cinchy to deliver hundreds of new technologies like customer experiences, workflows, automations, and advanced analytics in half the time. This is possible because our network-based architecture gives our customers full control of their data for the first time, resulting in the biggest shift in enterprise technology delivery since 1979. Cinchy is the world’s first autonomous data fabric. Inspired by the human brain, Cinchy’s data-centric architecture makes data silos and data integration obsolete by managing data as a network. Some of the most complex organizations in the world (including highly-regulated financial institutions) are already using Cinchy to accelerate and de-risk their transformation from app-centric to data-centric organizations, unlocking real agility.
  • 9
    Veracity Data Fabric
    Veracity Data Fabric is a secure data management space for cloud and on-premise. It allows you to collect all your information; from data streams to separate data objects in one place with secure sharing mechanisms. Work on your own data or share and combine with other data sets, the decision is yours. We provide the secure technology and access to multiple industry-relevant data and analytics providers; if and how you want to use them is your decision. Sharing of data is done using SAS (shared access signature) keys which provide a way to granting and revoking access. Activities related to stored data in the container can be tracked in the ledger and reviewed by the container owner. Keys can only be shared with other authorized platform users.
    Starting Price: €420 per year
  • 10
    EraSearch

    EraSearch

    Era Software

    Purpose-built for cloud-native deployments, EraSearch brings you a dynamic data fabric that leverages decoupled storage & compute, a true zero-schema design, and adaptive indexing to deliver an infinitely-scalable log management experience with an unparalleled reduction in cost and complexity. Lots of log management products are built on top of Elasticsearch. We built EraSearch from scratch to solve its key problems. By embracing a stateless design for all of the core components, managing EraSearch with k8s is a dream. Lots of log management products are built on top of Elasticsearch. We built EraSearch from scratch to solve its key problems. By using a modern, coordination-free ingest design, EraSearch can handle data at a greatly-reduced cost. Running EraSearch is completely hands-off, so you never have to worry about cluster health again.
    Starting Price: ¢65 per GB
  • 11
    Delphix

    Delphix

    Delphix

    Delphix is the industry leader in DataOps and provides an intelligent data platform that accelerates digital transformation for leading companies around the world. The Delphix DataOps Platform supports a broad spectrum of systems—from mainframes to Oracle databases, ERP applications, and Kubernetes containers. Delphix supports a comprehensive range of data operations to enable modern CI/CD workflows and automates data compliance for privacy regulations, including GDPR, CCPA, and the New York Privacy Act. In addition, Delphix helps companies sync data from private to public clouds, accelerating cloud migrations, customer experience transformation, and the adoption of disruptive AI technologies.
  • 12
    Atlan

    Atlan

    Atlan

    The modern data workspace. Make all your data assets from data tables to BI reports, instantly discoverable. Our powerful search algorithms combined with easy browsing experience, make finding the right asset, a breeze. Atlan auto-generates data quality profiles which make detecting bad data, dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, we’ve got you covered. Atlan takes the pain away from governing and managing your data ecosystem! Atlan’s bots parse through SQL query history to auto construct data lineage and auto-detect PII data, allowing you to create dynamic access policies & best in class governance. Even non-technical users can directly query across multiple data lakes, warehouses & DBs using our excel-like query builder. Native integrations with tools like Tableau and Jupyter makes data collaboration come alive.
  • 13
    Anzo

    Anzo

    Cambridge Semantics

    Anzo is a modern data discovery and integration platform that lets anyone find, connect and blend any enterprise data into analytics-ready datasets. Anzo’s unique use of semantics and graph data models makes it practical for the first time for virtually anyone in your organization – from skilled data scientists to novice business users – to drive the data discovery and integration process and build their own analytics-ready datasets. Anzo’s graph data models provide business users with a visual map of enterprise data that is easy to understand and navigate, even when your data is vast, siloed and complex. Semantics add business content to data, allowing users to harmonize data based on shared definitions and build blended, business-ready data on demand.
  • 14
    EntelliFusion

    EntelliFusion

    Teksouth

    Teksouth’s EntelliFusion is a fully managed, end-to-end solution. Rather than piecing together several different platforms for data prep, data warehousing and governance, then deploying a great deal of IT resources to figure out how to make it all work; EntelliFusion's architecture provides a one-stop shop for outfitting an organizations data infrastructure. With EntelliFusion, data silos become centralized in a single platform for cross functional KPI's, creating holistic and powerful insights. EntelliFusion’s “military-born�? technology has proven successful against the strenuous demands of the USA’s top echelon of military operations. In this capacity, it was massively scaled across the DOD for over twenty years. EntelliFusion is built on the latest Microsoft technologies and frameworks which allows it to be continually enhanced and innovated. It is data agnostic, infinitely scalable, and guarantees accuracy and performance to promote end-user tool adoption.
  • 15
    Trustgrid

    Trustgrid

    Trustgrid

    Trustgrid enables secure access service edge (SASE) architectures by integrating SD-WAN, remote access and edge computing technologies to manage zero trust connectivity between any application, system or end user. Software-defined networking (SD-WAN) to connect cloud and on-premise environments. Zero Trust network access (ZTNA) to secure connectivity for remote end-users. Edge computing to distribute security services from the cloud to the edge. Deployment and management tools for distributing endpoints, applications and APIs. Automated security and support tooling. Learn how software providers challenged with providing secure access to sensitive data have used Trustgrid’s zero trust network platform to connect to over 2000 data sources. Real-time connectivity between any environment with enterprise SLAs. Reduce new site deployment times to hours instead of weeks. Lower cost of connectivity vs legacy networking solutions.
  • 16
    Oracle Coherence
    Oracle Coherence is the industry leading in-memory data grid solution that enables organizations to predictably scale mission-critical applications by providing fast access to frequently used data. As data volumes and customer expectations increase, driven by the “internet of things�?, social, mobile, cloud and always-connected devices, so does the need to handle more data in real-time, offload over-burdened shared data services and provide availability guarantees. The latest release of Oracle Coherence, 14.1.1, adds a patented scalable messaging implementation, support for polyglot grid-side programming on GraalVM, distributed tracing in the grid, and certification on JDK 11. Coherence stores each piece of data within multiple members (one primary and one or more backup copies), and doesn't consider any mutating operation complete until the backup(s) are successfully created. This ensures that your data grid can tolerate the failure at any level: from single JVM, to whole data center.
  • 17
    HPE Ezmeral

    HPE Ezmeral

    Hewlett Packard Enterprise

    Run, manage, control and secure the apps, data and IT that run your business, from edge to cloud. HPE Ezmeral advances digital transformation initiatives by shifting time and resources from IT operations to innovations. Modernize your apps. Simplify your Ops. And harness data to go from insights to impact. Accelerate time-to-value by deploying Kubernetes at scale with integrated persistent data storage for app modernization on bare metal or VMs, in your data center, on any cloud or at the edge. Harness data and get insights faster by operationalizing the end-to-end process to build data pipelines. Bring DevOps agility to the machine learning lifecycle, and deliver a unified data fabric. Boost efficiency and agility in IT Ops with automation and advanced artificial intelligence. And provide security and control to eliminate risk and reduce costs. HPE Ezmeral Container Platform provides an enterprise-grade platform to deploy Kubernetes at scale for a wide range of use cases.
  • 18
    Vexata

    Vexata

    Vexata

    The Vexata VX‑100F unleashes the performance of NVMe over fabrics (NVMe-oF) to deliver breakthrough economics and transformative performance. The Vexata architecture removes excess latency from the storage controller to consistently deliver high performance at scale to accelerate application response time. Real-time analytics requires heavy data ingest and processing, Vexata Accelerated Data Architecture delivers more throughput and faster response times. Vexata shatters the traditional cost/performance barrier with a scalable solid state storage platform that accelerates application and analytics ecosystems. VX-Cloud is the first and only software-defined solution built to support all Machine Learning stages to support the performance and scale of cognitive and AI workloads for Cloud scale and economics.
  • 19
    Zetaris

    Zetaris

    Zetaris

    Rather than uploading the data to a central place to analyze it, Zetaris enables instant analytics across all your data, now. This means you can connect multiple databases and analyze them together in real-time, without the time and cost (and fail rate) associated with moving the data to a central location. Our unique analytical query optimizer ensures speed and scalability for whatever query is being run, across any combination of data sources. Ensure data governance and security by not moving data, and analyzing it at its source. Don't move the data. No data extraction, no data transformation, no copying of data to another repository. Remove unnecessary storage, processing and support costs, thanks to zero data duplication.
  • 20
    StreamScape

    StreamScape

    StreamScape

    Make use of Reactive Programming on the back-end without the need for specialized languages or cumbersome frameworks. Triggers, Actors and Event Collections make it easy to build data pipelines and work with data streams using simple SQL-like syntax, shielding users from the complexities of distributed system development. Extensible Data Modeling is a key feature that supports rich semantics and schema definition for representing real-world things. On-the-fly validation and data shaping rules support a variey of formats like XML and JSON, allowing you to easily describe and evolve your schema, keeping pace with changing business requirements. If you can describe it, we can query it. Know SQL and Javascript? Then you already know how to use the data engine. Whatever the format, a powerful query language lets you instantly test logic expressions and functions, speeding up development and simplifying deployment for unmatched data agility.
  • 21
    TIBCO Data Fabric
    More data sources, more silos, more complexity, and constant change. Data architectures are challenged to keep pace—a big problem for today's data-driven organizations, and one that puts your business at risk. A data fabric is a modern distributed data architecture that includes shared data assets and optimized data fabric pipelines that you can use to address today's data challenges in a unified way. Optimized data management and integration capabilities so you can intelligently simplify, automate, and accelerate your data pipelines. Easy-to-deploy and adapt distributed data architecture that fits your complex, ever-changing technology landscape. Accelerate time to value by unlocking your distributed on-premises, cloud, and hybrid cloud data, no matter where it resides, and delivering it wherever it's needed at the pace of business.
  • 22
    NetApp Data Fabric
    Your data is anywhere and everywhere, in every form imaginable. And it’s growing by the minute, stored in public clouds, private clouds and on premises. Your teams leverage it to do their jobs. Your business depends on it to survive and thrive. And now you can design your data fabric to deliver it where, when and how you need it. Ensure your data is always on, always available, and easily consumed. Free developers to build anywhere. Deliver a unified data experience across the world’s biggest clouds, private clouds, and on premises. NetApp offers proven capabilities to build and manage your data fabric. NetApp customers are thought leaders who recognize the value of digital transformation. Every day, they’re changing their world by leveraging their most valuable business resource data.
  • 23
    CluedIn

    CluedIn

    CluedIn

    CluedIn has the quickest implementation time of any master data management platform on the market. CluedIn has transformed traditional MDM into an augmented experience. Less manual work. Better results. This is simply impossible with traditional MDM. CluedIn has revolutionized a new type of MDM with no restrictions. CluedIn has been designed to remove the standard complexities with traditional MDM. CluedIn is a cloud-native Master Data Management platform that was built to run at low cost. Enterprise software that has the onboarding simplicity of buying a SAAS platform. Whereas traditional MDM vendors will ask you to stitch together different products into an end to end story, we have stitched together the common pillars of master data management for you. We took a knife to traditional master data management and came out the other side with techniques that automate the hardest parts of the process and render traditional approaches as obsolete.
    Starting Price: $28,500 per year
  • 24
    Fraxses

    Fraxses

    Intenda

    There are many products on the market that can help companies to do this, but if your priorities are to create a data-driven enterprise and to be as efficient and cost-effective as possible, then there is only one solution you should consider: Fraxses, the world’s foremost distributed data platform. Fraxses provides customers with access to data on demand, delivering powerful insights via a solution that enables a data mesh or data fabric architecture. Think of a data mesh as a structure that can be laid over disparate data sources, connecting them, and enabling them to function as a single environment. Unlike other data integration and virtualization platforms, the Fraxses data platform has a decentralized architecture. While Fraxses fully supports traditional data integration processes, the future lies in a new approach, whereby data is served directly to users without the need for a centrally owned data lake or platform.
  • 25
    Infinidat Elastic Data Fabric
    The consumer datasphere’s huge growth over the past decade is now being overshadowed by exponential growth rates in business data. This presents unprecedented opportunities and challenges for enterprises and cloud service providers, requiring a fundamentally new approach to building and scaling storage infrastructure. Infinidat Elastic Data Fabric is our vision for the evolution of enterprise storage from traditional hardware appliances into elastic data center-scale pools of high-performance, highly reliable, low-cost digital storage with seamless data mobility within the data center and the public cloud. Today, enterprise technologists in every industry are facing a similar dilemma, thanks to the tsunami of digital transformation. Traditional hardware-based storage arrays are expensive, hard to manage, and orders of magnitude too small for the coming data age. They must, therefore, evolve into something new: softwaredefined on-premises enterprise storage clouds.
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