Compare Apache HBase vs. KeyDB in 2025

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Description

Utilize Apache HBase™ when you require immediate and random read/write capabilities for your extensive data sets. This initiative aims to manage exceptionally large tables that can contain billions of rows across millions of columns on clusters built from standard hardware. It features automatic failover capabilities between RegionServers to ensure reliability. Additionally, it provides an intuitive Java API for client interaction, along with a Thrift gateway and a RESTful Web service that accommodates various data encoding formats, including XML, Protobuf, and binary. Furthermore, it supports the export of metrics through the Hadoop metrics system, enabling data to be sent to files or Ganglia, as well as via JMX for enhanced monitoring and management. With these features, HBase stands out as a robust solution for handling big data challenges effectively.

Description

KeyDB ensures complete compatibility with Redis modules, APIs, and protocols, allowing for a seamless integration that retains the functionality of your existing clients, scripts, and configurations. You can effortlessly switch to KeyDB while maintaining this compatibility. Its Multi-Master mode provides a single replicated dataset across multiple nodes, facilitating both read and write operations. Additionally, nodes can be replicated across different regions to achieve submillisecond latencies for local clients. With Cluster mode, the dataset can be divided across shards, enabling limitless read and write scalability while simultaneously supporting high availability through replica nodes. KeyDB also introduces new community-driven commands that enhance your ability to manipulate data. You can create your own commands and features using JavaScript via the ModJS module, which allows for the writing of functions in JavaScript that can be directly invoked by KeyDB. An example of a JavaScript function that could be loaded with this module is provided on the left, demonstrating how it can be called directly from your client, showcasing the flexibility and power of KeyDB. This capability not only enhances your data handling but also fosters a more dynamic interaction with your database environment.