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Google Cloud Bigtable vs Valkey

Google Cloud Bigtable

cloud.google.com

Valkey

valkey.io

Side by side

FigureGoogle Cloud BigtableValkey
Price from$0.03/moFree
Free planYesYes
Free trialYes—
Open source——
WebYes—
macOS—Yes
Linux—Yes
APIYesYes
Self-hosted—Yes
Plans published101
Spec score · Key-Value Databases8.0 (#8)7.4 (#21)
Spec score · NoSQL Databases7.9 (#16)7.4 (#26)
Spec score · Database Software8.1 (#44)7.7 (#58)
IntegrationsThe product page lists integrations with Apache Spark, Hadoop, GKE, Dataflow, Dataproc, Vertex AI Vector Search, BigQuery, and LangChain.The Valkey site lists managed or compatible offerings from Amazon ElastiCache, Google Cloud Memorystore, Oracle Cloud Infrastructure Cache, UpCloud, DigitalOcean, and others.
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.Valkey recommends restricting network access to trusted clients and provides ACL-based authentication and optional TLS for client connections, replication links, and the cluster bus.

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 →

Valkey

  • ValkeyFree

Valkey 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

Valkey

Valkey is a free, open-source key/value datastore for caching, message queues and primary database workloads. It handles strings, numbers, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs and other data types. Deployments can run as a standalone daemon or as a cluster, with replication and high-availability options. Lua scripting and module plugins can add commands and data types. Documented uses include caching database or API results, session tokens, rendered HTML, reports, leaderboards, matchmaking and AI or ML inference outputs. Installation is available from source, Docker, Homebrew or MacPorts on macOS, and package managers for Linux and BSD. Valkey runs on Linux and macOS and can be self-hosted or accessed through an API; Windows is not officially supported, though WSL installation is described for development. The Linux Foundation backs the project, which says it will remain open source. Security guidance covers ACL authentication, optional TLS and network restrictions. Protocols include RESP, TCP and Unix sockets.

Visit valkey.io