Alternatives to Azure Table Storage

HBase suits teams building data-intensive systems that need distributed, strictly consistent real-time reads and writes.

Amazon Keyspaces

It suits teams migrating Cassandra workloads or building low-latency applications that need managed, automatically scaled database capacity.

It suits teams building self-hosted, clustered data storage and retrieval systems that use Hadoop HDFS and ZooKeeper.

Azure Cosmos DB for NoSQL

It suits teams building flexible-schema, latency-sensitive, elastic, high-throughput, or highly available applications.

Google Cloud Bigtable

Bigtable is aimed at teams with larger low-latency database workloads, including machine learning and operational analytics.

The platform suits data analysts, engineers and scientists working across on-premises, cloud and edge deployments.

SWC-DB suits teams seeking a self-hosted wide-column database with SQL, multiple client libraries and cluster deployment tools.

Elassandra suits teams wanting self-hosted distributed storage and search through Cassandra and OpenSearch interfaces.

Tera suits teams building throughput-oriented or latency-sensitive services that need a self-hosted distributed database.

It suits organizations running ScyllaDB clusters that want automated maintenance and backup management.

It suits teams deploying database infrastructure on their own server clusters.

Tablestore suits teams seeking a managed web table-storage service with scaling, transactions and multi-region support.