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DBMS > Apache Druid vs. RocksDB

System Properties Comparison Apache Druid vs. RocksDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMS
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.22
Rank#128  Overall
#64  Relational DBMS
#9  Time Series DBMS
Score4.43
Rank#88  Overall
#14  Key-value stores
Websitedruid.apache.orgrocksdb.org
Technical documentationdruid.apache.org/­docs/­latest/­designgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation and contributorsFacebook, Inc.
Initial release20122013
Current release24.0.1, November 20227.3.1, June 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
OS X
Unix
Linux
Data schemeyes infoschema-less columns are supportedschema-free
Typing infopredefined data types such as float or dateyesno
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.nono
Secondary indexesyesno
SQL infoSupport of SQLSQL for queryingno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
C++ API
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno

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More resources
Apache DruidRocksDB
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Apache Druid’s Role in Modern Data Analytics
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