Best Data Integration Tools for Kubernetes

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.

IBM Cloud Pak For Integration®, a hybrid integration platform, is an automated, closed-loop system that supports multiple styles and types of integration in a single, unified experience. Connect cloud and on-premise apps to unlock business data and assets, securely move data with enterprise messaging, deliver event interactions, transfer data across all clouds, and deploy and scale with shared foundational services and cloud-native architecture. All this is done with enterprise-grade encryption and security. Automated, closed-loop, and multi-style integrations deliver the best results. Targeted innovations can be used to automate integrations. These include natural language-powered flows, AI-assisted maps and RPA. You can also use company-specific operational information to continuously improve integrations and API test generation. Workload balancing can also be achieved.

The Stackable platform was built with flexibility and openness in mind. It offers a curated collection of open source data apps such as Apache Kafka Apache Druid Trino and Apache Spark. Stackable is different from other offerings that either push proprietary solutions or further vendor lock-in. All data apps are seamlessly integrated and can be added to or removed at any time. It runs anywhere, on-prem and in the cloud, based on Kubernetes. You only need stackablectl, a Kubernetes Cluster and stackablectl to run your stackable data platform. You will be able to work with your data within minutes. Configure your one line startup command here. Similar to kubectl stackablectl was designed to interface easily with the Stackable data Platform. Use the command-line utility to deploy and maintain stackable data apps in Kubernetes. You can create, delete and update components with stackablectl.

Integrate your systems to allow real-time data exchange. Automate workflows to reduce human error and improve productivity. With our pre-designed integration templates, you can set up, modify, and launch your integration in just a few clicks. Integrating different systems can improve cross-team collaboration. Instantly send and receive updates. All comments, attachments, as well as related data, can be transferred to your systems instantly. Integration of your systems will automate many of the most tedious tasks and reduce operational costs. In the event of a system failure, protect your data. ZigiOps does not have a database so the data that is transferred is not stored. Our integration tool allows users to connect entities at any level with advanced data mapping and filtering.

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.