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DBMS > Apache Druid vs. Drizzle vs. GridGain vs. LeanXcale vs. RethinkDB

System Properties Comparison Apache Druid vs. Drizzle vs. GridGain vs. LeanXcale vs. RethinkDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDrizzle  Xexclude from comparisonGridGain  Xexclude from comparisonLeanXcale  Xexclude from comparisonRethinkDB  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.GridGain is an in-memory computing platform, built on Apache IgniteA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value store
Relational DBMS
Key-value store
Relational DBMS
Document store
Secondary database modelsSpatial 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
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Websitedruid.apache.orgwww.gridgain.comwww.leanxcale.comrethinkdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.gridgain.com/­docs/­index.htmlrethinkdb.com/­docs
DeveloperApache Software Foundation and contributorsDrizzle project, originally started by Brian AkerGridGain Systems, Inc.LeanXcaleThe Linux Foundation infosince July 2017
Initial release20122008200720152009
Current release29.0.1, April 20247.2.4, September 2012GridGain 8.5.12.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGNU GPLcommercialcommercialOpen Source infoApache 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++Java, C++, .NetC++
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometry
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyes infowith proprietary extensionsANSI-99 for query and DML statements, subset of DDLyes infothrough Apache Derbyno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Java
PHP
C#
C++
Java
PHP
Python
Ruby
Scala
C
Java
Scala
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
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)
Triggersnono infohooks for callbacks inside the server can be used.yes (cache interceptors and events)Client-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
yes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
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, HTTPSecurity Hooks for custom implementationsyes infousers and table-level permissions

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More resources
Apache DruidDrizzleGridGainLeanXcaleRethinkDB
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