Google Cloud Bigtable vs TiKV
Google Cloud Bigtable
cloud.google.comTiKV
tikv.orgSide by side
| Figure | Google Cloud Bigtable | TiKV |
|---|---|---|
| Price from | $0.03/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 10 | 1 |
| Spec score · Key-Value Databases | 8.0 (#8) | 7.5 (#18) |
| Integrations | The product page lists integrations with Apache Spark, Hadoop, GKE, Dataflow, Dataproc, Vertex AI Vector Search, BigQuery, and LangChain. | The maker lists TiDB, Zetta, Tidis, Titan, and JuiceFS among systems built with or using TiKV. |
| Security | Security 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. | TiKV documentation describes TLS for network connections and configurable encryption at rest, including AES methods. |
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
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.
TiKV
TiKV is a distributed transactional key-value database designed as a unified storage layer across nodes. It provides a raw key-value API and a transactional key-value API with ACID semantics, but those APIs cannot both be used on the same keyspace. The project says it can support petabyte-scale deployments spanning trillions of rows. Raft groups replicate data across nodes for fault tolerance, while horizontal scaling and rebalancing support changes in cluster capacity. RawKV also includes time-to-live expiration and compare-and-swap operations. The documentation lists Java, Go, Rust, Python, and C++ clients; Java and Go are marked stable, while the others are marked unstable. TiKV is self-hosted and Apache 2.0 licensed, with Linux, macOS, Windows, and API listed as platforms. Its documentation describes TLS for network connections and configurable encryption at rest, including AES methods. TiKV was originally created by PingCAP and is a Cloud Native Computing Foundation graduate project. The community page recommends Slack for general communication and provides a dedicated mailing list for security vulnerability reports.