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DBMS > Apache Druid vs. CouchDB vs. GeoSpock vs. GridGain

System Properties Comparison Apache Druid vs. CouchDB vs. GeoSpock vs. GridGain

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridGain  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Spatial and temporal data processing engine for extreme data scaleGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMS
Time Series DBMS
Document storeRelational DBMSKey-value store
Relational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionTime 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
Score9.30
Rank#45  Overall
#7  Document stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Websitedruid.apache.orgcouchdb.apache.orggeospock.comwww.gridgain.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.couchdb.org/­en/­stablewww.gridgain.com/­docs/­index.html
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGeoSpockGridGain Systems, Inc.
Initial release201220052007
Current release29.0.1, April 20243.3.3, December 20232.0, September 2019GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangJava, JavascriptJava, C++, .Net
Server operating systemsLinux
OS X
Unix
Android
BSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononoyes
Secondary indexesyesyes infovia viewstemporal, categoricalyes
SQL infoSupport of SQLSQL for queryingnoANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoView functions in JavaScriptnoyes (compute grid and cache interceptors can be used instead)
Triggersnoyesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoimproved architecture with release 2.0Automatic shardingSharding
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)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
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.nononoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per databaseAccess rights for users can be defined per tableSecurity Hooks for custom implementations

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More resources
Apache DruidCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"GeoSpockGridGain
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