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SedonaDB vs SingleStore Helios

SedonaDB

5.8#30 in spatial databasesFree plan
Free planLinuxSelf-hosted
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What both publish

FactSedonaDBSingleStore Helios
Founded20252011
IntegrationsThe 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 plans

  • Apache SedonaDBFree

SingleStore Helios plans

  • SharedFree
  • StandardPriced on request
  • EnterprisePriced on request
  • BYOC StandardPriced on request

Pick SedonaDB if…

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.

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.

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