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DBMS > Geode vs. H2 vs. HarperDB vs. Kinetica vs. YDB

System Properties Comparison Geode vs. H2 vs. HarperDB vs. Kinetica vs. YDB

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonH2  Xexclude from comparisonHarperDB  Xexclude from comparisonKinetica  Xexclude from comparisonYDB  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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Fully vectorized database across both GPUs and CPUsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value storeRelational DBMSDocument storeRelational DBMSDocument store
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
Score0.55
Rank#248  Overall
#38  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitegeode.apache.orgwww.h2database.comwww.harperdb.iowww.kinetica.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationgeode.apache.org/­docswww.h2database.com/­html/­main.htmldocs.harperdb.io/­docsdocs.kinetica.comydb.tech/­en/­docs
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Thomas MuellerHarperDBKineticaYandex
Initial release20022005201720122019
Current release1.1, February 20172.2.220, July 20233.1, August 20217.1, 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)commercial infofree community edition availablecommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaNode.jsC, C++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredAll OS with a Java VMLinux
OS X
LinuxLinux
Data schemeschema-freeyesdynamic schemayesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyesyes
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.nonononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query language (OQL)yesSQL-like data manipulation statementsSQL-like DML and DDL statementsSQL-like query language (YQL)
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
Java.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsJava Stored Procedures and User-Defined FunctionsCustom Functions infosince release 3.1user defined functionsno
Triggersyes infoCache Event Listenersyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingnoneA table resides as a whole on one (or more) nodes in a clusterShardingSharding
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 infothe nodes on which a table resides can be definedSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights per client and object definablefine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users and roles on table levelAccess rights defined for Yandex Cloud users

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GeodeH2HarperDBKineticaYDB
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