SingleStore Helios
8.1#1 in analytics databasesFree planFree planWebAPILinuxmacOS
VisitSingleStore Helios vs VoltDB
What both publish
| Fact | SingleStore Helios | VoltDB |
|---|---|---|
| Company headquarters | The headquarters is listed at 388 Market Street, Suite 860, San Francisco, California 94111. | LinkedIn lists headquarters in Burlington, Massachusetts, with company size of 11–50 employees. |
| Founded | 2011 | 2009 |
| Funding | Crunchbase lists 36 investors, including Prosperity7 Ventures and Goldman Sachs, and identifies a Series F round. | VoltDB announced a $10 million Series C funding round on October 23, 2019. |
| Headquarters | San Francisco, California, United States | Burlington, Massachusetts, United States |
| Integrations | Listed integrations include AWS Glue, Apache Beam, Apache Flink, Apache Spark, Azure Data Factory, Azure Event Hubs, Confluent Kafka, Fivetran, Informatica, Qlik, Tableau Prep, dbt, Datadog, New Relic and Terraform. | Documented integrations include Kafka, Kinesis, HDFS, JDBC/ODBC, Elasticsearch and RabbitMQ through import and export capabilities. |
| Rating on G2 | 4.5 out of 5 from 118 reviews. | 4.3 out of 5 from 6 reviews |
| Rating on Gartner Peer Insights | 4.4 out of 5 from 0 reviews shown on the currently rendered page. | 4.9 out of 5 from 9 ratings |
| Rating on TrustRadius | 8.2 out of 10 from 120 reviews and ratings. | 9 out of 10 from 1 review |
SingleStore Helios plans
- SharedFree
- StandardPriced on request
- EnterprisePriced on request
- BYOC StandardPriced on request
VoltDB plans
- Developer EditionFree
- Stream to Decision TrialFree
- Guided EngagementPriced on request
Pick SingleStore Helios if…
Helios suits teams needing a cloud database for transactional and analytical workloads, including those working with varied data types or AI workloads. The free Shared workspace is aimed at evaluation, development, and non-production use.
Pick VoltDB if…
VoltDB is aimed at companies building or modernizing mission-critical applications, including in financial services, telecommunications, and enterprise technology. It may suit teams working with streaming data that need low-latency decisions across supported deployment types.