Best Data Fabric Software for Kubernetes

Find and compare the best Data Fabric software for Kubernetes in 2026

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

  • 1
    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.
  • 2
    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.
  • 3
    Oracle Coherence Reviews
    Oracle Coherence stands out as the premier in-memory data grid solution, empowering organizations to effectively scale their critical applications by offering rapid access to often-used data. With the growth of data volumes and the rising expectations of customers—propelled by the internet of things, social media, mobile technology, cloud computing, and the prevalence of always-connected devices—there is an escalating demand for real-time data management, relief for overloaded shared data services, and assurance of availability. The recent update, version 14.1.1, introduces a unique scalable messaging feature, enables polyglot programming on GraalVM at the grid level, incorporates distributed tracing within the grid, and ensures certification with JDK 11. Coherence manages data by storing each item across several members, including one primary and multiple backup copies, and it does not deem any modification complete until the backups are securely created. This design guarantees that your data grid remains resilient to failures, whether they affect a single JVM or an entire data center, thereby enhancing reliability and performance. Ultimately, Oracle Coherence facilitates a robust framework for organizations to thrive in a data-driven world.
  • 4
    HPE Ezmeral Reviews

    HPE Ezmeral

    Hewlett Packard Enterprise

    Manage, oversee, control, and safeguard the applications, data, and IT resources essential for your business, spanning from edge to cloud. HPE Ezmeral propels digital transformation efforts by reallocating time and resources away from IT maintenance towards innovation. Update your applications, streamline your operations, and leverage data to transition from insights to impactful actions. Accelerate your time-to-value by implementing Kubernetes at scale, complete with integrated persistent data storage for modernizing applications, whether on bare metal, virtual machines, within your data center, on any cloud, or at the edge. By operationalizing the comprehensive process of constructing data pipelines, you can extract insights more rapidly. Introduce DevOps agility into the machine learning lifecycle while delivering a cohesive data fabric. Enhance efficiency and agility in IT operations through automation and cutting-edge artificial intelligence, all while ensuring robust security and control that mitigate risks and lower expenses. The HPE Ezmeral Container Platform offers a robust, enterprise-grade solution for deploying Kubernetes at scale, accommodating a diverse array of use cases and business needs. This comprehensive approach not only maximizes operational efficiency but also positions your organization for future growth and innovation.
  • 5
    Stratio Reviews
    A comprehensive and secure business data layer that delivers immediate insights for both business and data teams is essential. Stratio's generative AI data fabric encompasses the entire data management lifecycle, including data discovery, governance, utilization, and eventual disposal. In many organizations, data is scattered across various divisions, with different applications employed for distinct tasks. Stratio harnesses the power of AI to locate and access all your data, regardless of whether it resides on-premises or in the cloud. This ensures that your organization handles data in an appropriate manner. If you cannot visualize your data as soon as it is generated, you risk falling behind your customers' needs. Conventional data infrastructures often require hours to process customer data, hindering responsiveness. Stratio, however, enables real-time access to 100% of your data without necessitating its relocation, allowing you to respond swiftly while maintaining crucial context. Ultimately, by integrating operational and informational aspects within a collaborative platform, organizations can transition to leveraging instant extended AI capabilities for enhanced decision-making and agility. Embracing such a unified approach will empower businesses to thrive in a data-driven landscape.
  • 6
    DataKitchen Reviews
    You can regain control over your data pipelines and instantly deliver value without any errors. DataKitchen™, DataOps platforms automate and coordinate all people, tools and environments within your entire data analytics organization. This includes everything from orchestration, testing and monitoring, development, and deployment. You already have the tools you need. Our platform automates your multi-tool, multienvironment pipelines from data access to value delivery. Add automated tests to every node of your production and development pipelines to catch costly and embarrassing errors before they reach the end user. In minutes, you can create repeatable work environments that allow teams to make changes or experiment without interrupting production. With a click, you can instantly deploy new features to production. Your teams can be freed from the tedious, manual work that hinders innovation.
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