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DBMS > Apache Druid vs. RocksDB vs. Tkrzw vs. Transwarp KunDB

System Properties Comparison Apache Druid vs. RocksDB vs. Tkrzw vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonRocksDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTranswarp KunDB  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)A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.04
Rank#362  Overall
#154  Relational DBMS
Websitedruid.apache.orgrocksdb.orgdbmx.net/­tkrzwwww.transwarp.cn/­en/­product/­kundb
Technical documentationdruid.apache.org/­docs/­latest/­designgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation and contributorsFacebook, Inc.Mikio HirabayashiTranswarp
Initial release201220132020
Current release30.0.0, June 20249.4.0, June 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSDOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Unix
LinuxLinux
macOS
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL for queryingnonoyes
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
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnononoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
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.noyesyes infousing specific database classes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnonoyes

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More resources
Apache DruidRocksDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTranswarp KunDB
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