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DBMS > eXtremeDB vs. Firebird vs. GridDB vs. MarkLogic

System Properties Comparison eXtremeDB vs. Firebird vs. GridDB vs. MarkLogic

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonFirebird  Xexclude from comparisonGridDB  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringFirebird is an open source RDBMS forked from Borland's InterBaseScalable in-memory time series database optimized for IoT and Big DataOperational and transactional Enterprise NoSQL database
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score19.46
Rank#30  Overall
#18  Relational DBMS
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Websitewww.mcobject.comwww.firebirdsql.orggriddb.netwww.progress.com/­marklogic
Technical documentationwww.mcobject.com/­docs/­extremedb.htmwww.firebirdsql.org/­en/­reference-manualsdocs.griddb.netwww.progress.com/­marklogic/­documentation
DeveloperMcObjectFirebird FoundationToshiba CorporationMarkLogic Corp.
Initial release20012000 infoAs fork of Borland's InterBase20132001
Current release8.2, 20215.0.1, August 20245.1, August 202211.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C and C++C++C++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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 infosupport of XML interfaces availablenoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLyesSQL92, SQL-like TQL (Toshiba Query Language)yes infoSQL92
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
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
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesPSQLnoyes infovia XQuery or JavaScript
Triggersyes infoby defining eventsyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container levelACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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.yesyesyes, with Range Indexes
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users can be defined per databaseRole-based access control at the document and subdocument levels

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More resources
eXtremeDBFirebirdGridDBMarkLogic
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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