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DBMS > Geode vs. HugeGraph vs. Riak KV vs. XTDB

System Properties Comparison Geode vs. HugeGraph vs. Riak KV vs. XTDB

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonHugeGraph  Xexclude from comparisonRiak KV  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA fast-speed and highly-scalable Graph DBMSDistributed, fault tolerant key-value storeA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value storeGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.18
Rank#332  Overall
#46  Document stores
Websitegeode.apache.orggithub.com/­hugegraph
hugegraph.apache.org
github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationgeode.apache.org/­docshugegraph.apache.org/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.xtdb.com/­docs
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.BaiduOpenSource, formerly Basho TechnologiesJuxt Ltd.
Initial release2002201820092019
Current release1.1, February 20170.93.2.0, December 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaErlangClojure
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
macOS
Unix
Linux
OS X
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes, extensible-data-notation format
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 indexesnoyes infoalso supports composite index and range indexrestrictedyes
SQL infoSupport of SQLSQL-like query language (OQL)nonolimited SQL, making use of Apache Calcite
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Native Erlang Interface
HTTP REST
JDBC
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
Groovy
Java
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
Clojure
Java
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsErlangno
Triggersyes infoCache Event Listenersnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factoryes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights per client and object definableUsers, roles and permissionsyes, using Riak Security

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More resources
GeodeHugeGraphRiak KVXTDB infoformerly named Crux
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