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DBMS > Drizzle vs. GridGain vs. Hive

System Properties Comparison Drizzle vs. GridGain vs. Hive

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGridGain  Xexclude from comparisonHive  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GridGain is an in-memory computing platform, built on Apache Ignitedata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitewww.gridgain.comhive.apache.org
Technical documentationwww.gridgain.com/­docs/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperDrizzle project, originally started by Brian AkerGridGain Systems, Inc.Apache Software Foundation infoinitially developed by Facebook
Initial release200820072012
Current release7.2.4, September 2012GridGain 8.5.13.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .NetJava
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yes
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statements
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Supported programming languagesC
C++
Java
PHP
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infouser defined functions and integration of map-reduce
Triggersno infohooks for callbacks inside the server can be used.yes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes (replicated cache)selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPSecurity Hooks for custom implementationsAccess rights for users, groups and roles

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More resources
DrizzleGridGainHive
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