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DBMS > Apache Phoenix vs. BigchainDB vs. Graphite vs. HBase vs. Kinetica

System Properties Comparison Apache Phoenix vs. BigchainDB vs. Graphite vs. HBase vs. Kinetica

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBigchainDB  Xexclude from comparisonGraphite  Xexclude from comparisonHBase  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperWide-column store based on Apache Hadoop and on concepts of BigTableFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSDocument storeTime Series DBMSWide column storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitephoenix.apache.orgwww.bigchaindb.comgithub.com/­graphite-project/­graphite-webhbase.apache.orgwww.kinetica.com
Technical documentationphoenix.apache.orgbigchaindb.readthedocs.io/­en/­latestgraphite.readthedocs.iohbase.apache.org/­book.htmldocs.kinetica.com
DeveloperApache Software FoundationChris DavisApache Software Foundation infoApache top-level project, originally developed by PowersetKinetica
Initial release20142016200620082012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.3.4, January 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3Open Source infoApache 2.0Open Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonPythonJavaC, C++
Server operating systemsLinux
Unix
Windows
LinuxLinux
Unix
Linux
Unix
Windows infousing Cygwin
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesnoNumeric data onlyoptions to bring your own types, AVROyes
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 indexesyesnonoyes
SQL infoSupport of SQLyesnononoSQL-like DML and DDL statements
APIs and other access methodsJDBCCLI Client
RESTful HTTP API
HTTP API
Sockets
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes infoCoprocessors in Javauser defined functions
Triggersnonoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factornoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
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 Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyesnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles on table level

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More resources
Apache PhoenixBigchainDBGraphiteHBaseKinetica
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