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DBMS > Drizzle vs. GigaSpaces vs. OrientDB vs. Vitess

System Properties Comparison Drizzle vs. GigaSpaces vs. OrientDB vs. Vitess

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGigaSpaces  Xexclude from comparisonOrientDB  Xexclude from comparisonVitess  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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsMulti-model DBMS (Document, Graph, Key/Value)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.gigaspaces.comorientdb.orgvitess.io
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.orientdb.com/­docs/­last/­index.htmlvitess.io/­docs
DeveloperDrizzle project, originally started by Brian AkerGigaspaces TechnologiesOrientDB LTD; CallidusCloud; SAPThe Linux Foundation, PlanetScale
Initial release2008200020102013
Current release7.2.4, September 201215.5, September 20203.2.29, March 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache version 2Open Source infoApache Version 2.0, commercial licenses available
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++, .NetJavaGo
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS
Solaris
Windows
All OS with a Java JDK (>= JDK 6)Docker
Linux
macOS
Data schemeyesschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-99 for query and DML statementsSQL-like query language, no joinsyes infowith proprietary extensions
APIs and other access methodsJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C++
Java
PHP
.Net
C++
Java
Python
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesJava, Javascriptyes infoproprietary syntax
Triggersno infohooks for callbacks inside the server can be used.yes, event driven architectureHooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnoyes inforelationship in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlAccess rights for users and roles; record level security configurableUsers with fine-grained authorization concept infono user groups or roles

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DrizzleGigaSpacesOrientDBVitess
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