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DBMS > EventStoreDB vs. Faircom EDGE vs. Google Cloud Spanner vs. RDFox vs. TimesTen

System Properties Comparison EventStoreDB vs. Faircom EDGE vs. Google Cloud Spanner vs. RDFox vs. TimesTen

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonRDFox  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.High performance knowledge graph and semantic reasoning engineIn-Memory RDBMS compatible to Oracle
Primary database modelEvent StoreKey-value store
Relational DBMS
Relational DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitewww.eventstore.comwww.faircom.com/­products/­faircom-edgecloud.google.com/­spannerwww.oxfordsemantic.techwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdevelopers.eventstore.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlcloud.google.com/­spanner/­docsdocs.oxfordsemantic.techdocs.oracle.com/­database/­timesten-18.1
DeveloperEvent Store LimitedFairCom CorporationGoogleOxford Semantic TechnologiesOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20121979201720171998
Current release21.2, February 2021V3, October 20206.0, Septermber 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Sourcecommercial infoRestricted, free version availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C++
Server operating systemsLinux
Windows
Android
Linux infoARM, x86
Raspbian
Windows
hostedLinux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyes
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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesyes infoQuery statements complying to ANSI 2011noyes
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Go
Java
JavaScript (Node.js)
Python
C
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++noPL/SQL
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replication with 3 replicas for regional instances.replication via a shared file systemMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infowhen using SQLyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Roles, resources, and access typesfine grained access rights according to SQL-standard

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More resources
EventStoreDBFaircom EDGE infoformerly c-treeEDGEGoogle Cloud SpannerRDFoxTimesTen
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