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DBMS > Apache Druid vs. ObjectBox vs. RethinkDB vs. RocksDB

System Properties Comparison Apache Druid vs. ObjectBox vs. RethinkDB vs. RocksDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonObjectBox  Xexclude from comparisonRethinkDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataExtremely fast embedded database for small devices, IoT and MobileDBMS for the Web with a mechanism to push updated query results to applications in realtime.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMS
Time Series DBMS
Object oriented DBMSDocument storeKey-value store
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Websitedruid.apache.orgobjectbox.iorethinkdb.comrocksdb.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.objectbox.iorethinkdb.com/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation and contributorsObjectBox LimitedThe Linux Foundation infosince July 2017Facebook, Inc.
Initial release2012201720092013
Current release29.0.1, April 20242.4.1, August 20208.11.4, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache License 2.0Open Source infoApache Version 2Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++C++
Server operating systemsLinux
OS X
Unix
Android
iOS
Linux
macOS
Windows
Linux
OS X
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryno
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 indexesyesyesyesno
SQL infoSupport of SQLSQL for queryingnonono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary native APIC++ API
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C 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++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnonono
TriggersnonoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding inforange basedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesonline/offline synchronization between client and serverSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-document operationsyes
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.nononoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesyes infousers and table-level permissionsno
More information provided by the system vendor
Apache DruidObjectBoxRethinkDBRocksDB
News

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14 November 2023

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9 August 2023

Vector Database Release for Flutter / Dart + Python
13 June 2023

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More resources
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