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DBMS > Amazon DocumentDB vs. EJDB vs. Faircom EDGE vs. GraphDB vs. Memgraph

System Properties Comparison Amazon DocumentDB vs. EJDB vs. Faircom EDGE vs. GraphDB vs. Memgraph

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEJDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEmbeddable 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 environmentsEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.An open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelDocument storeDocument storeKey-value store
Relational DBMS
Graph DBMS
RDF store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.27
Rank#297  Overall
#44  Document stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score3.02
Rank#98  Overall
#8  Graph DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-edgewww.ontotext.commemgraph.com
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgraphdb.ontotext.com/­documentationmemgraph.com/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMediumLinkedInTwitterFacebookGitHubDiscord
DeveloperSoftmotionsFairCom CorporationOntotextMemgraph Ltd
Initial release20192012197920002017
Current releaseV3, October 202010.4, October 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercial infoRestricted, free version availablecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoBSL 1.1; commercial license for enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCANSI C, C++JavaC and C++
Server operating systemshostedserver-lessAndroid
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free and OWL/RDFS-schema support; RDF shapesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyes, ANSI Standard SQL Typesyesyes
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.noyesnono
Secondary indexesyesnoyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes
SQL infoSupport of SQLnonoyes infoANSI SQL queriesstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)in-process shared libraryADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Bolt protocol
Cypher query language
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
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
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++well-defined plugin interfaces; JavaScript server-side extensibility
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneFile partitioning infoCustomizable business rules for partitioningnoneSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replicationMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno infotypically not needed, however similar functionality with collection joins possibleyes infowhen using SQLyes infoConstraint checkingyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDACIDACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes infoacross SQL and NoSQLyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Users, roles and permissions
More information provided by the system vendor
Amazon DocumentDBEJDBFaircom EDGE infoformerly c-treeEDGEGraphDB infoformer name: OWLIMMemgraph
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
You can check out our pricing model and licenses on the company website .
» more
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More resources
Amazon DocumentDBEJDBFaircom EDGE infoformerly c-treeEDGEGraphDB infoformer name: OWLIMMemgraph
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