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DBMS > Apache Phoenix vs. Graph Engine vs. H2 vs. Riak TS

System Properties Comparison Apache Phoenix vs. Graph Engine vs. H2 vs. Riak TS

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonH2  Xexclude from comparisonRiak TS  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 engineFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
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
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitephoenix.apache.orgwww.graphengine.iowww.h2database.com
Technical documentationphoenix.apache.orgwww.graphengine.io/­docs/­manualwww.h2database.com/­html/­main.htmlwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperApache Software FoundationMicrosoftThomas MuellerOpen Source, formerly Basho Technologies
Initial release2014201020052015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.2.220, July 20233.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CJavaErlang
Server operating systemsLinux
Unix
Windows
.NETAll OS with a Java VMLinux
OS X
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesrestricted
SQL infoSupport of SQLyesnoyesyes, limited
APIs and other access methodsJDBCRESTful HTTP APIJDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
F#
Visual Basic
JavaC 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 functionsyesJava Stored Procedures and User-Defined FunctionsErlang
Triggersnonoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, 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 storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardno

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More resources
Apache PhoenixGraph Engine infoformer name: TrinityH2Riak TS
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