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DBMS > EventStoreDB vs. FileMaker vs. Hawkular Metrics vs. OrigoDB

System Properties Comparison EventStoreDB vs. FileMaker vs. Hawkular Metrics vs. OrigoDB

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonFileMaker  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A fully ACID in-memory object graph database
Primary database modelEvent StoreRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitewww.eventstore.comwww.claris.com/­filemakerwww.hawkular.orgorigodb.com
Technical documentationdevelopers.eventstore.comwww.claris.com/­resources/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideorigodb.com/­docs
DeveloperEvent Store LimitedClaris infoa subsidiary of AppleCommunity supported by Red HatRobert Friberg et al
Initial release2012198320142009 infounder the name LiveDB
Current release21.2, February 202119.4.1, November 2021
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#
Server operating systemsLinux
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collections
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.yes infoA http query request can return the data in XML formatnono infocan be achieved using .NET
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infovia pluginsnono
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
HTTP REST.NET Client API
HTTP API
LINQ
Supported programming languagesPHPGo
Java
Python
Ruby
.Net
Server-side scripts infoStored proceduresyesnoyes
Triggersyesyes infovia Hawkular Alertingyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14selectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesnoRole based authorization

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More resources
EventStoreDBFileMakerHawkular MetricsOrigoDB
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