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DBMS > AgensGraph vs. EJDB vs. Fauna vs. Splice Machine vs. Trafodion

System Properties Comparison AgensGraph vs. EJDB vs. Fauna vs. Splice Machine vs. Trafodion

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonEJDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
Relational DBMS
Document storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitebitnine.net/­agensgraphgithub.com/­Softmotions/­ejdbfauna.comsplicemachine.comtrafodion.apache.org
Technical documentationbitnine.net/­documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.fauna.comsplicemachine.com/­how-it-workstrafodion.apache.org/­documentation.html
DeveloperBitnine Global Inc.SoftmotionsFauna, Inc.Splice MachineApache Software Foundation, originally developed by HP
Initial release20162012201420142014
Current release2.1, December 20183.1, March 20212.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGPLv2commercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCScalaJavaC++, Java
Server operating systemsLinux
OS X
Windows
server-lesshostedLinux
OS X
Solaris
Windows
Linux
Data schemedepending on used data modelschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idnoyesyes
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.nonono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnonoyesyes
APIs and other access methodsCypher Query Language
JDBC
in-process shared libraryRESTful HTTP APIJDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesnouser defined functionsyes infoJavaJava Stored Procedures
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenonehorizontal partitioning infoconsistent hashingShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replicationMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possibleyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoIdentity management, authentication, and access controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AgensGraphEJDBFauna infopreviously named FaunaDBSplice MachineTrafodion
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