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DBMS > 4D vs. Faircom DB vs. Memgraph vs. Splice Machine

System Properties Comparison 4D vs. Faircom DB vs. Memgraph vs. Splice Machine

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonMemgraph  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.An open source graph database built for real-time streaming and compatible with Neo4jOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSKey-value store
Relational DBMS
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.4d.comwww.faircom.com/­products/­faircom-dbmemgraph.comsplicemachine.com
Technical documentationdeveloper.4d.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlmemgraph.com/­docssplicemachine.com/­how-it-works
Social network pagesLinkedInTwitterFacebookGitHubDiscord
Developer4D, IncFairCom CorporationMemgraph LtdSplice Machine
Initial release1984197920172014
Current releasev20, April 2023V12, November 20203.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C and C++Java
Server operating systemsOS X
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
LinuxLinux
OS X
Solaris
Windows
Data schemeyesschema free, schema optional, schema required, partial schema,schema-free and schema-optionalyes
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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yes, ANSI SQL with proprietary extensionsnoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Bolt protocol
Cypher query language
JDBC
Native Spark Datasource
ODBC
Supported programming languages4D proprietary IDE
PHP
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++yes infoJava
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infodynamic graph partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replication using RAFTMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlUsers and groupsFine grained access rights according to SQL-standard with additional protections for filesUsers, roles and permissionsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionFaircom DB infoformerly c-treeACEMemgraphSplice Machine
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
4D infoformer name: 4th DimensionFaircom DB infoformerly c-treeACEMemgraphSplice Machine
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