DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > GeoMesa vs. Heroic vs. RisingWave vs. ToroDB

System Properties Comparison GeoMesa vs. Heroic vs. RisingWave vs. ToroDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHeroic  Xexclude from comparisonRisingWave  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelSpatial DBMSTime Series DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitewww.geomesa.orggithub.com/­spotify/­heroicwww.risingwave.com/­databasegithub.com/­torodb/­server
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlspotify.github.io/­heroicdocs.risingwave.com/­docs/­current/­intro
DeveloperCCRi and othersSpotifyRisingWave Labs8Kdata
Initial release2014201420222016
Current release5.0.0, May 20241.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJavaRustJava
Server operating systemsDocker
Linux
macOS
All OS with a Java 7 VM
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONyes infostring, integer, double, boolean, date, object_id
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
PostgreSQL wire protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoUDFs in Python or Java
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageUsers and RolesAccess rights for users and roles

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GeoMesaHeroicRisingWaveToroDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Recent citations in the news

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

Streaming Databases: Embracing the Convergence of Stream Processing and Databases
17 May 2024, InfoQ.com

RisingWave Cloud Democratizes Event Stream Processing, Making It Affordable at Cloud Scale
27 June 2023, Datanami

Ibis 8 Adds Streaming
5 March 2024, iProgrammer

Building a Formula 1 Streaming Data Pipeline With Kafka and Risingwave
5 September 2023, KDnuggets

How to reap benefits from the wave of AI with rise in high performance computing - ET Edge Insights
15 February 2024, ET Edge Insights

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here