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DBMS > Apache Druid vs. Drizzle vs. HarperDB vs. Kinetica vs. Percona Server for MongoDB

System Properties Comparison Apache Druid vs. Drizzle vs. HarperDB vs. Kinetica vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDrizzle  Xexclude from comparisonHarperDB  Xexclude from comparisonKinetica  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Fully vectorized database across both GPUs and CPUsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument storeRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series 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
Score0.55
Rank#248  Overall
#38  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitedruid.apache.orgwww.harperdb.iowww.kinetica.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.harperdb.io/­docsdocs.kinetica.comdocs.percona.com/­percona-distribution-for-mongodb
DeveloperApache Software Foundation and contributorsDrizzle project, originally started by Brian AkerHarperDBKineticaPercona
Initial release20122008201720122015
Current release29.0.1, April 20247.2.4, September 20123.1, August 20217.1, August 20213.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGNU GPLcommercial infofree community edition availablecommercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Node.jsC, C++C++
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
Linux
OS X
LinuxLinux
Data schemeyes infoschema-less columns are supportedyesdynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyes infowith proprietary extensionsSQL-like data manipulation statementsSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Java
PHP
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
JavaScript (Node.js)
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnonoCustom Functions infosince release 3.1user defined functionsJavaScript
Triggersnono infohooks for callbacks inside the server can be used.noyes 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-basedShardingA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes infovia In-Memory Engine
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesAccess rights for users and roles on table levelAccess rights for users and roles

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More resources
Apache DruidDrizzleHarperDBKineticaPercona Server for MongoDB
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