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DBMS > HBase vs. Microsoft Azure Table Storage vs. Riak KV vs. TigerGraph

System Properties Comparison HBase vs. Microsoft Azure Table Storage vs. Riak KV vs. TigerGraph

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRiak KV  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA Wide Column Store for rapid development using massive semi-structured datasetsDistributed, fault tolerant key-value storeA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelWide column storeWide column storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitehbase.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.tigergraph.com
Technical documentationhbase.apache.org/­book.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.tigergraph.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftOpenSource, formerly Basho Technologies
Initial release2008201220092017
Current release2.3.4, January 20213.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedLinux
OS X
Linux
Data schemeschema-free, schema definition possibleschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesnoyes
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 indexesnonorestricted
SQL infoSupport of SQLnononoSQL-like query language (GSQL)
APIs and other access methodsJava API
RESTful HTTP API
Thrift
RESTful HTTP APIHTTP API
Native Erlang Interface
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C 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
C++
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in JavanoErlangyes
Triggersyesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)optimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights based on private key authentication or shared access signaturesyes, using Riak SecurityRole-based access control

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More resources
HBaseMicrosoft Azure Table StorageRiak KVTigerGraph
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