HPE Ezmeral Data Fabric vs ScyllaDB Manager

HPE Ezmeral Data Fabric consolidates data from on-premises systems, multiple clouds and edge deployments into one logical store. It supports files, object data, NoSQL databases and streams, with transaction support, strong consistency, multi-region support and horizontal scaling. Application developers can use standard APIs, languages and protocols. Its object store provides S3 API access, WORM compliance, events delivered to data streams and compatibility with open-source AWS S3 and Minio SDKs. Analytics integrations include Apache Spark, Apache Drill, Presto and S3 Select, while certified open-source tools and engines can run directly on the fabric for in-place analytics. Security capabilities include FIPS 140-2 Level 1 support when FIPS mode is enabled and dynamic masking of designated fields in JSON queries. A community edition is available, and an enterprise 30-day trial license can be requested. The community edition has limited nodes, no high availability or technical support, lacks advanced storage options such as snapshots and global replication, and is not intended for production. Pricing is on request; as-a-service monthly charges depend on storage use and selected tier.

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.