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DBMS > Apache Druid vs. InfinityDB vs. RethinkDB vs. Tibero

System Properties Comparison Apache Druid vs. InfinityDB vs. RethinkDB vs. Tibero

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonInfinityDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA Java embedded Key-Value Store which extends the Java Map interfaceDBMS for the Web with a mechanism to push updated query results to applications in realtime.A secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeDocument storeRelational DBMS
Secondary database modelsSpatial 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
Score0.08
Rank#365  Overall
#55  Key-value stores
Score2.66
Rank#107  Overall
#20  Document stores
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitedruid.apache.orgboilerbay.comrethinkdb.comus.tmaxsoft.com/­products/­tibero
Technical documentationdruid.apache.org/­docs/­latest/­designboilerbay.com/­infinitydb/­manualrethinkdb.com/­docstechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software Foundation and contributorsBoiler Bay Inc.The Linux Foundation infosince July 2017TmaxSoft
Initial release2012200220092003
Current release29.0.1, April 20244.02.4.1, August 20206, April 2015
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C and Assembler
Server operating systemsLinux
OS X
Unix
All OS with a Java VMLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes infostring, binary, float, bool, date, geometryyes
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.nononoyes
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLSQL for queryingnonoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnonoPersistent Stored Procedure (PSM)
TriggersnonoClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding inforange basedhorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
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.nononono infoplanned for next version
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoyes infousers and table-level permissionsfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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Apache DruidInfinityDBRethinkDBTibero
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