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DBMS > Apache Phoenix vs. Graph Engine vs. Memcached vs. Splice Machine vs. TerarkDB

System Properties Comparison Apache Phoenix vs. Graph Engine vs. Memcached vs. Splice Machine vs. TerarkDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMemcached  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineIn-memory key-value store, originally intended for cachingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSGraph DBMS
Key-value store
Key-value storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitephoenix.apache.orgwww.graphengine.iowww.memcached.orgsplicemachine.comgithub.com/­bytedance/­terarkdb
Technical documentationphoenix.apache.orgwww.graphengine.io/­docs/­manualgithub.com/­memcached/­memcached/­wikisplicemachine.com/­how-it-worksbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software FoundationMicrosoftDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSplice MachineByteDance, originally Terark
Initial release20142010200320142016
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.6.27, May 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoBSD licenseOpen Source infoAGPL 3.0, commercial license availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CCJavaC++
Server operating systemsLinux
Unix
Windows
.NETFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.nonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnonoyesno
APIs and other access methodsJDBCRESTful HTTP APIProprietary protocolJDBC
Native Spark Datasource
ODBC
C++ API
Java API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
F#
Visual Basic
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyesnoyes infoJavano
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoRepcached, a Memcached patch, provides this functionallityMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagenoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users, groups and roles according to SQL-standardno

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