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DBMS > Apache Phoenix vs. Bangdb vs. BigchainDB vs. Kinetica vs. TerarkDB

System Properties Comparison Apache Phoenix vs. Bangdb vs. BigchainDB vs. Kinetica vs. TerarkDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBangdb  Xexclude from comparisonBigchainDB  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseConverged and high performance database for device data, events, time series, document and graphBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFully vectorized database across both GPUs and CPUsA 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 DBMSDocument store
Graph DBMS
Time Series DBMS
Document storeRelational DBMSKey-value store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitephoenix.apache.orgbangdb.comwww.bigchaindb.comwww.kinetica.comgithub.com/­bytedance/­terarkdb
Technical documentationphoenix.apache.orgdocs.bangdb.combigchaindb.readthedocs.io/­en/­latestdocs.kinetica.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software FoundationSachin Sinha, BangDBKineticaByteDance, originally Terark
Initial release20142012201620122016
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019BangDB 2.0, October 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD 3Open Source infoAGPL v3commercialcommercial 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 languageJavaC, C++PythonC, C++C++
Server operating systemsLinux
Unix
Windows
LinuxLinuxLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsnoyesno
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyesno
SQL infoSupport of SQLyesSQL like support with command line toolnoSQL-like DML and DDL statementsno
APIs and other access methodsJDBCProprietary protocol
RESTful HTTP API
CLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsno
Triggersnoyes, Notifications (with Streaming only)yes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor, Knob for CAP (enterprise version only)selectable replication factorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes (enterprise version only)yesAccess rights for users and roles on table levelno

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More resources
Apache PhoenixBangdbBigchainDBKineticaTerarkDB
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