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DBMS > CockroachDB vs. GeoMesa vs. HyperSQL vs. Ignite

System Properties Comparison CockroachDB vs. GeoMesa vs. HyperSQL vs. Ignite

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelRelational DBMSSpatial DBMSRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websitewww.cockroachlabs.comwww.geomesa.orghsqldb.orgignite.apache.org
Technical documentationwww.cockroachlabs.com/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmlhsqldb.org/­web/­hsqlDocsFrame.htmlapacheignite.readme.io/­docs
DeveloperCockroach LabsCCRi and othersApache Software Foundation
Initial release2015201420012015
Current release23.1.1, May 20234.0.5, February 20242.7.2, June 2023Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache License 2.0Open Source infobased on BSD licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaJavaC++, Java, .Net
Server operating systemsLinux
macOS
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Solaris
Windows
Data schemedynamic schemayesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBCHTTP API infoJDBC via HTTP
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
All languages supporting JDBC/ODBC
Java
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoJava, SQLyes (compute grid and cache interceptors can be used instead)
Triggersnonoyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTdepending on storage layernoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTdepending on storage layernoneyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nodepending on storage layeryesyes
User concepts infoAccess controlRole-based access controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardSecurity Hooks for custom implementations

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More resources
CockroachDBGeoMesaHyperSQL infoalso known as HSQLDBIgnite
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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