What GeoMesa does

GeoMesa is an open-source suite of tools for large-scale geospatial querying and analytics on distributed computing systems. Initiated by Commonwealth Computer Research, Inc. (CCRi) in 2013 and hosted under the Eclipse LocationTech working group at the Eclipse Foundation, the project provides spatio-temporal indexing on top of distributed databases including Accumulo, HBase, Cassandra, Redis, Apache Kudu, and Google Cloud Bigtable, enabling massive storage and querying of point, line, and polygon data. It layers spatial semantics onto Apache Kafka for near real-time stream processing and supports Apache Spark (including PySpark) for custom distributed geospatial analytics. Through a GeoTools-compatible DataStore interface and GeoServer plugins, GeoMesa exposes standard OGC (Open Geospatial Consortium) APIs (WFS and WMS) for compatibility with existing mapping clients. The product surface comprises a core engine, datastore-specific modules, analytics modules (Spark, PySpark, Processes), integration modules (GeoServer plugins, NiFi bundle, GeoJSON, Jupyter), and utility modules (Convert, Arrow, BlobStore, command-line tools), with feature-level security/visibilities supported on Accumulo and HBase backends.

The platform targets Big Data and GIS professionals and organizations operating at scale with spatio-temporal workloads — IoT sensor data streaming, taxi and fleet tracking, and real-time global situational awareness — where traditional GIS databases cannot handle data volume or velocity. Target use cases include massive geospatial dataset storage and indexing, distributed analytics via Spark, and near real-time stream processing of geo-tagged events.

The business model is commercial open-source: the software itself is distributed under Apache License 2.0 with no direct pricing, available via GitHub releases and Maven Central. Monetization, where it exists, flows through third-party professional support offered by GA Intelligence rather than a direct GeoMesa sales motion. Go-to-market is community-driven through developer-relations channels (GitHub, Eclipse mailing lists, Gitter) and conference presence at FOSS4G, ApacheCon, and DataWorks events. The project shows long-term technical continuity, with documented releases progressing from version 2.0 (2014) through version 5.4.0 (2024), and a stated global footprint via online distribution channels.

Name

GeoMesa

Legal name

Commonwealth Computer Research, Inc.

Website

https://geomesa.org

Company type

Private

Founded year

2013

Operating status

Operating

Short description

GeoMesa is an open-source suite, maintained by Commonwealth Computer Research, Inc. (CCRi) under Eclipse LocationTech, that provides spatio-temporal indexing and distributed geospatial analytics on Accumulo, HBase, Cassandra, Redis, Kafka, and Spark for organizations handling massive point, line, and polygon datasets.

Ownership category

akta.pro rank

Product category

Geospatial Analytics Software

NAICS

Geophysical Surveying and Mapping Services (541360), Geophysical Surveying and Mapping Services (54136)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)

akta.pro primary industry

GIS & Spatial Data Management Platforms (BPAMANAK)

akta.pro secondary industries

Geospatial Data Management & Enterprise GIS (Geodatabases, Web GIS, Spatial Analytics) (EUAHAKAC), Satellite Imagery & Remote Sensing Geospatial Platforms (BPAMANAM)

Keywords

• Geospatial analytics
• Spatio-temporal indexing
• Distributed databases
• Open source GIS
• Big data analytics

Headquarters

HQ city

Charlottesville

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Distribution channels3 records

Marketing channels6 records

Core offering

GeoMesa is an open-source suite of tools that enables large-scale geospatial querying and analytics on distributed computing systems. It provides spatio-temporal indexing on top of Accumulo, HBase, Redis, and Cassandra databases for massive storage of point, line, and polygon data, along with near real-time stream processing by layering spatial semantics on Apache Kafka. The project also supports Apache Spark for custom distributed geospatial analytics and exposes data via GeoServer plugins using standard OGC WFS/WMS APIs.

Product overview

GeoMesa is an open-source suite of tools that enables large-scale geospatial querying and analytics on distributed computing systems. It provides spatio-temporal indexing on top of Accumulo, HBase, Cassandra, Redis, and other distributed databases for massive storage of point, line, and polygon data. The core GeoMesa product is complemented by multiple datastore-specific modules (GeoMesa HBase, GeoMesa Accumulo, GeoMesa Cassandra, GeoMesa Bigtable, GeoMesa Redis, GeoMesa Kafka, GeoMesa FileSystem, GeoMesa Kudu, GeoMesa Lambda), analytics modules (GeoMesa Spark, GeoMesa PySpark, GeoMesa Processes), integration modules (GeoMesa GeoServer Plugins, GeoMesa NiFi Bundle, GeoMesa GeoJSON, GeoMesa Jupyter), and utility modules (GeoMesa Convert, GeoMesa Arrow, GeoMesa BlobStore, GeoMesa Stream Processing, GeoMesa Command-Line Tools). GeoMesa also provides near real-time stream processing via Apache Kafka and supports Apache Spark for custom distributed geospatial analytics. The project is hosted by LocationTech at Eclipse Foundation and is available under Apache License 2.0.

Differentiator

Problem solved

Functional benefit

Products and services

• GeoMesa Open-source suite of tools that enables large-scale geospatial querying and analytics on distributed computing systems. Provides spatio-temporal indexing for massive storage of point, line, and polygon data, near real-time stream processing via Apache Kafka, Apache Spark-based distributed geospatial analytics, and GeoServer integration over standard OGC WFS/WMS APIs. Targeted at developers and organizations working with massive geospatial datasets across distributed databases (Accumulo, HBase, Cassandra, Redis, Bigtable, Kudu).
• Professional Support by GA Intelligence

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration2 records

Feature7 records

Partnerships

Two partnerships are on record, tiered minor and core.

• GA IntelligenceminorOthersProfessional support services provider for GeoMesa. Offers contact support for users needing enterprise-grade assistance with GeoMesa deployments and implementation.
• Eclipse LocationTechcoreStrategic or Co-development PartnerGeoMesa is hosted under Eclipse LocationTech, an Eclipse Foundation working group focused on open source location and geospatial technologies. This provides governance, intellectual property management, and community support.

Recent moves5 records

Expansion highlights4 records

Direct peers

• CARTO: Cloud-native geospatial analytics platform offering location intelligence and spatial analytics. Targets similar enterprise use cases around large-scale geospatial querying, albeit in a more managed SaaS form than GeoMesa's open-source model.
• PostGIS: Open-source spatial extension for PostgreSQL providing geospatial storage and querying. Serves overlapping customer needs around spatial data management, though at a different scale envelope than GeoMesa's distributed computing approach.
• QGIS: Open-source desktop GIS application widely used in the geospatial community. Shares the open-source ethos and developer community with GeoMesa, though it addresses desktop/analyst workflows rather than distributed backend indexing.
• Apache Sedona: Open-source distributed geospatial analytics engine that runs on Spark and other distributed systems. Directly competes with GeoMesa for spatio-temporal analytics workloads on big data platforms, with overlapping core functionality.

Broad incumbents

• Mapbox: Mapping and location platform serving enterprise and developer customers. Adjacent in the geospatial data stack but more focused on visualization and consumer/enterprise mapping APIs rather than distributed spatio-temporal indexing.
• Databricks (Mosaic AI / Photon): Lakehouse platform with Delta Lake, Spark, and geospatial functions that increasingly subsume distributed geospatial analytics use cases. Competes for the same Spark-based analytics workloads that GeoMesa targets.
• Snowflake (Geospatial / Snowpark): Cloud data platform with native geospatial functions and Snowpark for spatial analytics. Increasingly competes for distributed geospatial workloads by bringing these capabilities into a unified cloud data platform.
• Esri (ArcGIS): Dominant GIS platform serving enterprise geospatial needs with broader capabilities than GeoMesa. Competes where enterprises need end-to-end GIS functionality, though GeoMesa targets the high-scale Hadoop/spark-native segment Esri does not address as directly.
• AWS Location Service: Hyperscaler-managed geospatial services including maps, tracking, and geofencing. Represents the cloud-managed alternative to open-source geospatial stacks, potentially reducing demand for self-hosted platforms like GeoMesa.
• Google Earth Engine: Hyperscaler-scale geospatial and remote sensing analytics platform. Competes in the large-scale geospatial analytics market and offers a managed alternative that could displace GeoMesa for cloud-based customers.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• GitHubgithub.com/locationtech/geomesa

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about GeoMesa