SedonaDB
5.8#30 in spatial databasesFree planFree planLinuxSelf-hosted
Visit| Fact | SedonaDB | SingleStore Helios |
|---|---|---|
| Founded | 2025 | 2011 |
| Integrations | The project describes interoperability with PyArrow-compatible libraries including GeoPandas, DuckDB, and Polars. | 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. |
SedonaDB suits developers and analysts working with geospatial data in local or single-node environments, especially through Python or SQL. Distributed workloads may call for the related SedonaSpark, SedonaFlink, or SedonaSnow projects.
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.