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DBMS > AgensGraph vs. Faircom DB vs. IBM Db2 vs. Splice Machine

System Properties Comparison AgensGraph vs. Faircom DB vs. IBM Db2 vs. Splice Machine

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Common in IBM host environments, 2 different versions for host and Windows/LinuxOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
Relational DBMS
Key-value store
Relational DBMS
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitebitnine.net/­agensgraphwww.faircom.com/­products/­faircom-dbwww.ibm.com/­products/­db2splicemachine.com
Technical documentationbitnine.net/­documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.ibm.com/­docs/­en/­db2splicemachine.com/­how-it-works
DeveloperBitnine Global Inc.FairCom CorporationIBMSplice Machine
Initial release201619791983 infohost version2014
Current release2.1, December 2018V12, November 202012.1, October 20163.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoRestricted, free version availablecommercial infofree version is 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 languageCANSI C, C++C and C++Java
Server operating systemsLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
AIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelschema free, schema optional, schema required, partial schema,yesyes
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes, ANSI SQL with proprietary extensionsyesyes
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++yesyes infoJava
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infoonly with Windows/Unix/Linux VersionShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yes infowith separate tools (MQ, InfoSphere)Multi-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 Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
AgensGraphFaircom DB infoformerly c-treeACEIBM Db2 infoformerly named DB2 or IBM Database 2Splice Machine
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