Google Cloud Bigtable vs HPE Ezmeral Data Fabric

Google Cloud Bigtable is a managed, low-latency NoSQL database for machine learning, operational analytics, and user-facing applications. It stores structured, semi-structured, and unstructured data in key-value and wide-column formats. SQL querying includes an API with more than 200 functions and support for aggregations, windowing, geospatial and JSON processing, and vector search. Compute scales horizontally, and instances can span up to eight regions with automatic replication between clusters. Google says multi-region instances offer 99.999% availability and protection against a regional failure. Integrations listed include Apache Spark, Hadoop, GKE, Dataflow, Dataproc, Vertex AI Vector Search, BigQuery, and LangChain. Bigtable provides Apache HBase and Cassandra APIs, plus migration tools for HBase, Cassandra, DynamoDB, and Aerospike. Security controls include IAM, customer-managed encryption keys, audit logging, and table-, column-, or row-level access control. Deployment is cloud-based. Google describes its capacity-based low-latency compute as more favorable for larger workloads than small applications. A 10-day trial is available subject to eligibility requirements.

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.