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DBMS > Drizzle vs. GigaSpaces vs. MarkLogic vs. TerminusDB

System Properties Comparison Drizzle vs. GigaSpaces vs. MarkLogic vs. TerminusDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMarkLogic  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 TransactionsOperational and transactional Enterprise NoSQL databaseScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Graph DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.gigaspaces.comwww.marklogic.comterminusdb.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.marklogic.comterminusdb.github.io/­terminusdb/­#
DeveloperDrizzle project, originally started by Brian AkerGigaspaces TechnologiesMarkLogic Corp.DataChemist Ltd.
Initial release2008200020012018
Current release7.2.4, September 201215.5, September 202011.0, December 202211.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; Commercial licenses availablecommercial inforestricted free version is availableOpen Source infoGPL V3
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++, .NetC++Prolog, Rust
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeyesschema-freeschema-free infoSchema can be enforcedyes
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 metadatayesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-99 for query and DML statementsyes infoSQL92SQL-like query language (WOQL)
APIs and other access methodsJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C++
Java
PHP
.Net
C++
Java
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresnoyesyes infovia XQuery or JavaScriptyes
Triggersno infohooks for callbacks inside the server can be used.yes, event driven architectureyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingGraph Partitioning
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
yesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlRole-based access control at the document and subdocument levelsRole-based access control

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More resources
DrizzleGigaSpacesMarkLogicTerminusDB infoformer name was DataChemist
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