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Google Cloud Bigtable vs SuperMassive

Google Cloud Bigtable

cloud.google.com

SuperMassive

supermassivedb.com

Side by side

FigureGoogle Cloud BigtableSuperMassive
Price from$0.03/moFree
Free planYesYes
Free trialYes—
Open source——
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
APIYes—
Self-hosted—Yes
Plans published101
Spec score · Key-Value Databases8.0 (#8)7.6 (#15)
AvailabilityGoogle says multi-region instances offer 99.999% availability and protection against a regional failure.The product describes automatic failover and self-healing when nodes fail.
ProductBigtable is a fully managed, low-latency NoSQL database service for machine learning, operational analytics, and user-facing applications.SuperMassive is an open-source distributed key-value database designed for in-memory operations, durability, and low latency.
SecuritySecurity controls include customer-managed encryption keys with Cloud External Key Manager support, IAM, VPC Service Controls, Access Transparency, Access Approval, audit logging, and table-, column-, or row-level access control.The documentation describes username and password client authentication, shared keys for node communication, and optional TLS.

Plans

Google Cloud Bigtable

  • Enterprise$0.65 a month
  • Enterprise Plus$0.85 a month
  • Data BoostFree
  • HDD storage$0.03 a month
  • Standard backup storage$0.03 a month
  • Hot backup storage$0.12 a month
  • SSD storage$0.17 a month
  • In-memory tier$0.20 a month
  • Enterprise compute capacity$0.65 a month
  • Enterprise Plus compute capacity$0.85 a month

Google Cloud Bigtable pricing →

SuperMassive

  • BSD-3-Clause open-source licenseFree

SuperMassive pricing →

In their own words

Google Cloud Bigtable

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.

Visit cloud.google.com

SuperMassive

SuperMassive is a self-hosted, open-source key-value database built for in-memory work, durability, and low latency. It spreads data across shards, and additional nodes can expand capacity horizontally. Writes rotate among primary nodes in sequence; reads run in parallel across primaries and, when needed, replicas. The project describes automatic failover and recovery when a node fails. Timestamp-based versioning settles conflicts in favor of the latest value. Commands include PUT, GET, DEL, INCR, DECR, REGX, STAT, RCNF, and PING. Nodes journal operations, while replicas copy any missing journal entries from their primary. Client connections use username-and-password authentication; nodes can use shared keys, and TLS is optional. Linux, macOS, and Windows builds are available as binaries or source, under the BSD-3-Clause license. The README identifies two limits: no transactions and only one user. GitHub marks the repository archived and read-only as of May 6, 2026.

Visit supermassivedb.com