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DBMS > Dolt vs. Faircom DB vs. GridGain vs. MarkLogic

System Properties Comparison Dolt vs. Faircom DB vs. GridGain vs. MarkLogic

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonGridGain  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.GridGain is an in-memory computing platform, built on Apache IgniteOperational and transactional Enterprise NoSQL database
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value store
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.faircom.com/­products/­faircom-dbwww.gridgain.comwww.marklogic.com
Technical documentationdocs.dolthub.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.gridgain.com/­docs/­index.htmldocs.marklogic.com
DeveloperDoltHub IncFairCom CorporationGridGain Systems, Inc.MarkLogic Corp.
Initial release2018197920072001
Current releaseV12, November 2020GridGain 8.5.111.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoRestricted, free version availablecommercialcommercial 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 languageGoANSI C, C++Java, C++, .NetC++
Server operating systemsLinux
macOS
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema free, schema optional, schema required, partial schema,yesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesyes
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.nonoyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes, ANSI SQL with proprietary extensionsANSI-99 for query and DML statements, subset of DDLyes infoSQL92
APIs and other access methodsCLI Client
HTTP REST
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
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
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyes info.Net, JavaScript, C/C++yes (compute grid and cache interceptors can be used instead)yes infovia XQuery or JavaScript
Triggersyesyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)yes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes
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 controlOnly one user is configurable, and must be specified in the config file at startupFine grained access rights according to SQL-standard with additional protections for filesSecurity Hooks for custom implementationsRole-based access control at the document and subdocument levels

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More resources
DoltFaircom DB infoformerly c-treeACEGridGainMarkLogic
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