Google Cloud Bigtable vs Riak KV
Google Cloud Bigtable
cloud.google.comRiak KV
riak.comSide by side
| Figure | Google Cloud Bigtable | Riak KV |
|---|---|---|
| Price from | $0.03/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 10 | 5 |
| Spec score · Key-Value Databases | 8.0 (#8) | 7.6 (#14) |
| Availability | Google says multi-region instances offer 99.999% availability and protection against a regional failure. | Riak KV is designed to continue reads and writes during hardware failures or network partitions. |
| Integrations | The product page lists integrations with Apache Spark, Hadoop, GKE, Dataflow, Dataproc, Vertex AI Vector Search, BigQuery, and LangChain. | Riak KV integrates with Apache Spark, Apache Mesos and Redis caching. |
| 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. | Riak documentation describes authentication and authorization controls and SSL configuration, while noting that Riak does not provide fine-grained role-based security. |
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
Riak KV
- Riak KV Open SourceFree
- Riak KV DeveloperPriced on request
- Riak KV EnterprisePriced on request
- Riak KV Enterprise PlusPriced on request
- Riak KV ProPriced on request
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.