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

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

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Widely used in-process key-value storeA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.hawkular.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.percona.com/­mongodb/­software/­percona-server-for-mongodbravendb.net
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.percona.com/­percona-distribution-for-mongodbravendb.net/­docs
DeveloperCommunity supported by Red HatOracle infooriginally developed by Sleepycat, which was acquired by OraclePerconaHibernating Rhinos
Initial release2014199420152010
Current release18.1.40, May 20203.4.10-2.10, November 20175.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infocommercial license availableOpen Source infoGPL Version 2Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)C++C#
Server operating systemsLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
LinuxLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availablenoSQL-like query language (RQL)
APIs and other access methodsHTTP RESTproprietary protocol using JSON.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesGo
Java
Python
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
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
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoJavaScriptyes
Triggersyes infovia Hawkular Alertingyes infoonly for the SQL APInoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes infovia In-Memory Engine
User concepts infoAccess controlnonoAccess rights for users and rolesAuthorization levels configured per client per database

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More resources
Hawkular MetricsOracle Berkeley DBPercona Server for MongoDBRavenDB
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