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DBMS > Geode vs. HarperDB vs. Kinetica vs. Riak KV

System Properties Comparison Geode vs. HarperDB vs. Kinetica vs. Riak KV

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonHarperDB  Xexclude from comparisonKinetica  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesUltra-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 CPUsDistributed, fault tolerant key-value store
Primary database modelKey-value storeDocument storeRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#133  Overall
#23  Key-value stores
Score0.55
Rank#252  Overall
#38  Document stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score4.44
Rank#80  Overall
#9  Key-value stores
Websitegeode.apache.orgwww.harperdb.iowww.kinetica.com
Technical documentationgeode.apache.org/­docsdocs.harperdb.io/­docsdocs.kinetica.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.HarperDBKineticaOpenSource, formerly Basho Technologies
Initial release2002201720122009
Current release1.1, February 20173.1, August 20217.1, August 20213.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree community edition availablecommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC, C++Erlang
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
LinuxLinux
OS X
Data schemeschema-freedynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesno
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 indexesnoyesyesrestricted
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like data manipulation statementsSQL-like DML and DDL statementsno
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
.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
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1user defined functionsErlang
Triggersyes infoCache Event Listenersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infothe nodes on which a table resides can be definedSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynonoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users and rolesAccess rights for users and roles on table levelyes, using Riak Security

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More resources
GeodeHarperDBKineticaRiak KV
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