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DBMS > EventStoreDB vs. Hawkular Metrics vs. Ignite vs. Interbase vs. Percona Server for MongoDB

System Properties Comparison EventStoreDB vs. Hawkular Metrics vs. Ignite vs. Interbase vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIgnite  Xexclude from comparisonInterbase  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Light-weight proven RDBMS infooriginally from BorlandA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelEvent StoreTime Series DBMSKey-value store
Relational DBMS
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitewww.eventstore.comwww.hawkular.orgignite.apache.orgwww.embarcadero.com/­products/­interbasewww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdevelopers.eventstore.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guideapacheignite.readme.io/­docsdocs.embarcadero.com/­products/­interbasedocs.percona.com/­percona-distribution-for-mongodb
DeveloperEvent Store LimitedCommunity supported by Red HatApache Software FoundationEmbarcaderoPercona
Initial release20122014201519842015
Current release21.2, February 2021Apache Ignite 2.6InterBase 2020, December 20193.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java, .NetCC++
Server operating systemsLinux
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Android
iOS
Linux
OS X
Windows
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoexport as XML data possibleno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsHTTP RESTHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesGo
Java
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infoInterbase procedure and trigger languageJavaScript
Triggersyes infovia Hawkular Alertingyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes (replicated cache)Interbase Change ViewsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
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.noyesyesyes infovia In-Memory Engine
User concepts infoAccess controlnoSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
EventStoreDBHawkular MetricsIgniteInterbasePercona Server for MongoDB
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