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DBMS > EJDB vs. Fauna vs. Postgres-XL vs. Splice Machine vs. Yaacomo

System Properties Comparison EJDB vs. Fauna vs. Postgres-XL vs. Splice Machine vs. Yaacomo

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSplice Machine  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionEmbeddable 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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbfauna.comwww.postgres-xl.orgsplicemachine.comyaacomo.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.fauna.comwww.postgres-xl.org/­documentationsplicemachine.com/­how-it-works
DeveloperSoftmotionsFauna, Inc.Splice MachineQ2WEB GmbH
Initial release201220142014 infosince 2012, originally named StormDB20142009
Current release10 R1, October 20183.1, March 2021
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoMozilla public licenseOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaCJava
Server operating systemsserver-lesshostedLinux
macOS
Linux
OS X
Solaris
Windows
Android
Linux
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnoyesyesyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoyes infodistributed, parallel query executionyesyes
APIs and other access methodsin-process shared libraryRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
JDBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsyes infoJava
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCCACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes, 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.nonoyesyes
User concepts infoAccess controlnoIdentity management, authentication, and access controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EJDBFauna infopreviously named FaunaDBPostgres-XLSplice MachineYaacomo
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