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DBMS > Geode vs. H2 vs. Ignite vs. Kinetica

System Properties Comparison Geode vs. H2 vs. Ignite vs. Kinetica

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonH2  Xexclude from comparisonIgnite  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Fully vectorized database across both GPUs and CPUs
Primary database modelKey-value storeRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitegeode.apache.orgwww.h2database.comignite.apache.orgwww.kinetica.com
Technical documentationgeode.apache.org/­docswww.h2database.com/­html/­main.htmlapacheignite.readme.io/­docsdocs.kinetica.com
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Thomas MuellerApache Software FoundationKinetica
Initial release2002200520152012
Current release1.1, February 20172.2.220, July 2023Apache Ignite 2.67.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, Java, .NetC, C++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyes
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.nonoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query language (OQL)yesANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statements
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
JavaC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsJava Stored Procedures and User-Defined Functionsyes (compute grid and cache interceptors can be used instead)user defined functions
Triggersyes infoCache Event Listenersyesyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights per client and object definablefine grained access rights according to SQL-standardSecurity Hooks for custom implementationsAccess rights for users and roles on table level

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More resources
GeodeH2IgniteKinetica
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