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DBMS > Hawkular Metrics vs. Interbase vs. Oracle Berkeley DB vs. OrigoDB vs. Percona Server for MongoDB

System Properties Comparison Hawkular Metrics vs. Interbase vs. Oracle Berkeley DB vs. OrigoDB vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonInterbase  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOrigoDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Light-weight proven RDBMS infooriginally from BorlandWidely used in-process key-value storeA fully ACID in-memory object graph databaseA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelTime Series DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Object oriented DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitewww.hawkular.orgwww.embarcadero.com/­products/­interbasewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlorigodb.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.embarcadero.com/­products/­interbasedocs.oracle.com/­cd/­E17076_05/­html/­index.htmlorigodb.com/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperCommunity supported by Red HatEmbarcaderoOracle infooriginally developed by Sleepycat, which was acquired by OracleRobert Friberg et alPercona
Initial release2014198419942009 infounder the name LiveDB2015
Current releaseInterBase 2020, December 201918.1.40, May 20203.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infocommercial license availableOpen SourceOpen 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 languageJavaCC, Java, C++ (depending on the Berkeley DB edition)C#C++
Server operating systemsLinux
OS X
Windows
Android
iOS
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
Linux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoUser defined using .NET types and collectionsyes
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.nono infoexport as XML data possibleyes infoonly with the Berkeley DB XML editionno infocan be achieved using .NETno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyes infoSQL interfaced based on SQLite is availablenono
APIs and other access methodsHTTP RESTADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
proprietary protocol using JSON
Supported programming languagesGo
Java
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.NetActionscript
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 infoInterbase procedure and trigger languagenoyesJavaScript
Triggersyes infovia Hawkular Alertingyesyes infoonly for the SQL APIyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranonenonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraInterbase Change ViewsSource-replica replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes infovia In-Memory Engine
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoRole based authorizationAccess rights for users and roles

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More resources
Hawkular MetricsInterbaseOracle Berkeley DBOrigoDBPercona Server for MongoDB
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