Apache Accumulo vs ScyllaDB Manager

Apache Accumulo is a free, open-source sorted, distributed key/value store for storing and retrieving large datasets across a cluster. It uses Apache Hadoop HDFS for data storage and Apache ZooKeeper for consensus. Each key/value pair can carry a security label, so query results can be restricted according to a user’s authorizations. Accumulo Iterators can modify key/value pairs at different stages of data management. Clusters can use one or more HDFS instances, and nodes can be added or removed as stored data changes. The project says its client API follows Long Term Maintenance releases and semantic versioning, and that each release undergoes extensive testing. The software is licensed under Apache License, Version 2.0. The downloads page lists source and binary archives for versions 4.0.0-alpha-1, 3.0.0, and 2.1.6; the project identifies 4.0.0-alpha-1 as alpha and says alpha or beta releases are not production ready. General questions can go to the user mailing list, while the dev list serves contributor discussions. An interactive tour teaches the Java API through exercises and is designed for Accumulo 2.1.x or greater.

ScyllaDB Manager is a free, open-source, self-hosted tool for automating operations on ScyllaDB clusters. It schedules backups, repairs, and cluster-status checks, and can coordinate tasks across multiple clusters. The system includes a Manager Server daemon with a REST API, the sctool command-line client, and an Agent daemon on every ScyllaDB node. The Server stores its data in a local or external ScyllaDB cluster. A monitoring dashboard is included, while ScyllaDB Monitoring Stack can add metrics and alerts. Documented backup destinations include Amazon S3, compatible S3 storage, Google Cloud Storage, Azure Blob Storage, and local storage. Agents communicate over HTTPS with configurable TLS settings. Installation guidance covers Red Hat Enterprise Linux 8 and 9, Debian 11 and 12, and Ubuntu 22.04 and 24.04. A minimal server needs 2 cores and 1GB RAM; the recommended setup is 2 vCPUs and at least 8GB DRAM.