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DBMS > BigchainDB vs. Graphite vs. HBase vs. Kinetica vs. Microsoft Azure Table Storage

System Properties Comparison BigchainDB vs. Graphite vs. HBase vs. Kinetica vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGraphite  Xexclude from comparisonHBase  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionBigchainDB 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 CPUsA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument storeTime Series DBMSWide column storeRelational DBMSWide column store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitewww.bigchaindb.comgithub.com/­graphite-project/­graphite-webhbase.apache.orgwww.kinetica.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationbigchaindb.readthedocs.io/­en/­latestgraphite.readthedocs.iohbase.apache.org/­book.htmldocs.kinetica.com
DeveloperChris DavisApache Software Foundation infoApache top-level project, originally developed by PowersetKineticaMicrosoft
Initial release20162006200820122012
Current release2.3.4, January 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonPythonJavaC, C++
Server operating systemsLinuxLinux
Unix
Linux
Unix
Windows infousing Cygwin
Linuxhosted
Data schemeschema-freeyesschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or datenoNumeric data onlyoptions to bring your own types, AVROyesyes
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 indexesnonoyesno
SQL infoSupport of SQLnononoSQL-like DML and DDL statementsno
APIs and other access methodsCLI Client
RESTful HTTP API
HTTP API
Sockets
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javauser defined functionsno
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication
Source-replica replication
Source-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)nooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlyesnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles on table levelAccess rights based on private key authentication or shared access signatures

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More resources
BigchainDBGraphiteHBaseKineticaMicrosoft Azure Table Storage
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