Best Data Fabric Software for Kubernetes

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.

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.

Oracle Coherence, the industry's leading in-memory grid solution, enables organizations to scale mission-critical applications quickly by providing quick access to frequently used data. Data volumes and customer expectations are increasing due to the "internet-of-things", mobile, cloud, social, and cloud. This means that organizations need to be able handle more data in real time, offload redundant shared data services, and ensure availability. The 14.1.1 release of Oracle Coherence adds a patented scalable message implementation, support for polyglot grid side programming on GraalVM and distributed tracing in grid. Coherence stores each piece in multiple members (one primary, one or more backup copies), so that any mutating operation is not considered complete until the backup(s). This ensures that your data grid is resilient to failure at all levels, from a single JVM to a whole data center.

Manage, control, secure, and manage the apps, data, and IT that run your business from edge to cloud. HPE Ezmeral accelerates digital transformation initiatives by shifting resources and time from IT operations to innovation. Modernize your apps. Simplify your operations. You can harness data to transform insights into impact. Kubernetes can be deployed at scale in your data center or on the edge. It integrates persistent data storage to allow app modernization on baremetal or VMs. This will accelerate time-to-value. Operationalizing the entire process to build data pipelines will allow you to harness data faster and gain insights. DevOps agility is key to machine learning's lifecycle. This will enable you to deliver a unified data network. Automation and advanced artificial intelligence can increase efficiency and agility in IT Ops. Provide security and control to reduce risk and lower costs. The HPE Ezmeral Container Platform is an enterprise-grade platform that deploys Kubernetes at large scale for a wide variety of uses.

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.

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.