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DBMS > Hawkular Metrics vs. IBM Cloudant vs. Microsoft Azure Table Storage vs. Oracle Berkeley DB

System Properties Comparison Hawkular Metrics vs. IBM Cloudant vs. Microsoft Azure Table Storage vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Database as a Service offering based on Apache CouchDBA Wide Column Store for rapid development using massive semi-structured datasetsWidely used in-process key-value store
Primary database modelTime Series DBMSDocument storeWide column storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitewww.hawkular.orgwww.ibm.com/­products/­cloudantazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecloud.ibm.com/­docs/­Cloudantdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperCommunity supported by Red HatIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2014201020121994
Current release18.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Windows
hostedhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
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.nononoyes infoonly with the Berkeley DB XML edition
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnononoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsHTTP RESTRESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesGo
Java
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
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
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptnono
Triggersyes infovia Hawkular Alertingyesnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possibleoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyes
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.nononoyes
User concepts infoAccess controlnoAccess rights for users can be defined per databaseAccess rights based on private key authentication or shared access signaturesno

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More resources
Hawkular MetricsIBM CloudantMicrosoft Azure Table StorageOracle Berkeley DB
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