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DBMS > Apache Druid vs. Kinetica vs. RocksDB vs. ToroDB

System Properties Comparison Apache Druid vs. Kinetica vs. RocksDB vs. ToroDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonKinetica  Xexclude from comparisonRocksDB  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFully vectorized database across both GPUs and CPUsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeDocument store
Secondary database modelsSpatial DBMS
Time Series 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
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitedruid.apache.orgwww.kinetica.comrocksdb.orggithub.com/­torodb/­server
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.kinetica.comgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation and contributorsKineticaFacebook, Inc.8Kdata
Initial release2012201220132016
Current release30.0.0, June 20247.1, August 20219.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoBSDOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++Java
Server operating systemsLinux
OS X
Unix
LinuxLinuxAll OS with a Java 7 VM
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infostring, integer, double, boolean, date, object_id
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 indexesyesyesno
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesno
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.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and roles on table levelnoAccess rights for users and roles

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More resources
Apache DruidKineticaRocksDBToroDB
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