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DBMS > Drizzle vs. GridGain vs. H2 vs. Tarantool

System Properties Comparison Drizzle vs. GridGain vs. H2 vs. Tarantool

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGridGain  Xexclude from comparisonH2  Xexclude from comparisonTarantool  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 IgniteFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.In-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websitewww.gridgain.comwww.h2database.comwww.tarantool.io
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.h2database.com/­html/­main.htmlwww.tarantool.io/­en/­doc
DeveloperDrizzle project, originally started by Brian AkerGridGain Systems, Inc.Thomas MuellerVK
Initial release2008200720052008
Current release7.2.4, September 2012GridGain 8.5.12.2.220, July 20232.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .NetJavaC and C++
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
All OS with a Java VMBSD
Linux
macOS
Data schemeyesyesyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsANSI-99 for query and DML statements, subset of DDLyesFull-featured ANSI SQL support
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Open binary protocol
Supported programming languagesC
C++
Java
PHP
C#
C++
Java
PHP
Python
Ruby
Scala
JavaC
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)Java Stored Procedures and User-Defined FunctionsLua, C and SQL stored procedures
Triggersno infohooks for callbacks inside the server can be used.yes (cache interceptors and events)yesyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes (replicated cache)With clustering: 2 database servers on different computers operate on identical copies of a databaseAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
DrizzleGridGainH2Tarantool
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