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DBMS > Apache Druid vs. Apache IoTDB vs. HBase vs. Riak TS vs. TinkerGraph

System Properties Comparison Apache Druid vs. Apache IoTDB vs. HBase vs. Riak TS vs. TinkerGraph

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache IoTDB  Xexclude from comparisonHBase  Xexclude from comparisonRiak TS  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkWide-column store based on Apache Hadoop and on concepts of BigTableRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSWide column storeTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitedruid.apache.orgiotdb.apache.orghbase.apache.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdruid.apache.org/­docs/­latest/­designiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlhbase.apache.org/­book.htmlwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperApache Software Foundation and contributorsApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetOpen Source, formerly Basho Technologies
Initial release20122018200820152009
Current release29.0.1, April 20241.1.0, April 20232.3.4, January 20213.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoApache version 2Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaErlangJava
Server operating systemsLinux
OS X
Unix
All OS with a Java VM (>= 1.8)Linux
Unix
Windows infousing Cygwin
Linux
OS X
Data schemeyes infoschema-less columns are supportedyesschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROnoyes
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 indexesyesyesnorestrictedno
SQL infoSupport of SQLSQL for queryingSQL-like query languagenoyes, limitedno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Native API
Java API
RESTful HTTP API
Thrift
HTTP API
Native Erlang Interface
TinkerPop 3
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
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
Groovy
Java
Server-side scripts infoStored proceduresnoyesyes infoCoprocessors in JavaErlangno
Triggersnoyesyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparkyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynononono infolinks between datasets can be storedyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoSingle row ACID (across millions of columns)nono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnono

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More resources
Apache DruidApache IoTDBHBaseRiak TSTinkerGraph
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