GroveStreams vs kdb+
GroveStreams
grovestreams.com
kdb+
kx.comSide by side
| Figure | GroveStreams | kdb+ |
|---|---|---|
| Price from | $599/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 8 | 2 |
| Spec score · Time-Series Databases | 8.3 (#9) | 7.9 (#19) |
| Headquarters | Maple Grove, Minnesota, United States | Newry, Northern Ireland |
| Security | The maker states that role-based access control is enforced in the query engine and lists a SOC 2-certified data center, SSL/TLS, two-factor authentication, and scoped API keys. | kdb+ can use SSL/TLS to encrypt connections with OpenSSL, configured with certificates and keys. |
| Use cases | The maker says the platform is especially suited for energy, manufacturing, and buildings. | KX describes kdb+ use in trading, fraud detection, and IoT monitoring, and identifies Capital Markets, Defense, and High-Tech Manufacturing as served sectors. |
Plans
GroveStreams
- Startup$599 a month
- Growth$1,799 a month
- Business$5,999 a month
- TrialFree
- StrategicPriced on request
- BusinessPrice not published
- GrowthPrice not published
- StartupPrice not published
In their own words
GroveStreams
GroveStreams has no write-up on Specifiction yet; its figures are above.
kdb+
kdb+ is a time-series database and analytics engine from KX, built around the q vector language. It captures and analyzes real-time and historical data for time-sensitive workloads. KX describes in-memory ingestion and analysis with sub-millisecond performance. Its storage layout separates newest in-memory records in an RDB, recent disk data in an IDB, and long-term columnar archives in an HDB. Query options include q and q-SQL, with support for Python, Java, C#, C++, Rust, R, and open-source libraries. Data can arrive through tickerplants, feed handlers, batch mode, TCP/IP, Apache Kafka, or supported programming languages. KX describes applications in trading, fraud detection, and IoT monitoring across Capital Markets, Defense, and High-Tech Manufacturing. Deployments cover Linux, macOS, Windows, APIs, and self-hosted environments, with cloud documentation for AWS, Google Cloud Platform, and Microsoft Azure. SSL/TLS connections use OpenSSL certificates and keys.