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DBMS > AgensGraph vs. EJDB vs. Faircom EDGE vs. Fauna vs. ReductStore

System Properties Comparison AgensGraph vs. EJDB vs. Faircom EDGE vs. Fauna vs. ReductStore

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonEJDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonReductStore  Xexclude from comparison
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)FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFauna 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.Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelGraph DBMS
Relational DBMS
Document storeKey-value store
Relational DBMS
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score0.13
Rank#331  Overall
#46  Document stores
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score1.55
Rank#143  Overall
#26  Document stores
#13  Graph DBMS
#66  Relational DBMS
#13  Time Series DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitebitnine.net/­agensgraphgithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-edgefauna.comgithub.com/­reductstore
www.reduct.store
Technical documentationbitnine.net/­documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.fauna.comwww.reduct.store/­docs
DeveloperBitnine Global Inc.SoftmotionsFairCom CorporationFauna, Inc.ReductStore LLC
Initial release20162012197920142023
Current release2.1, December 2018V3, October 20201.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGPLv2commercial infoRestricted, free version availablecommercialOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCANSI C, C++ScalaC++, Rust
Server operating systemsLinux
OS X
Windows
server-lessAndroid
Linux infoARM, x86
Raspbian
Windows
hostedDocker
Linux
macOS
Windows
Data schemedepending on used data modelschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyes, ANSI Standard SQL Typesno
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.noyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyes infoANSI SQL queriesno
APIs and other access methodsCypher Query Language
JDBC
in-process shared libraryADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP API
Supported programming languagesC
Java
JavaScript
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyesnoyes info.Net, JavaScript, C/C++user defined functions
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneFile partitioning infoCustomizable business rules for partitioninghorizontal partitioning infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possibleyes infowhen using SQLyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Identity management, authentication, and access control

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More resources
AgensGraphEJDBFaircom EDGE infoformerly c-treeEDGEFauna infopreviously named FaunaDBReductStore
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