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

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

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNCache  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.A Wide Column Store for rapid development using massive semi-structured datasetsOpen-Source and Enterprise in-memory Key-Value StoreWidely used in-process key-value store
Primary database modelTime Series DBMSWide column storeKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.94
Rank#195  Overall
#29  Key-value stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitewww.hawkular.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.alachisoft.com/­ncachewww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.alachisoft.com/­resources/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperCommunity supported by Red HatMicrosoftAlachisoftOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2014201220051994
Current release5.3.3, April 202418.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoEnterprise Edition availableOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#, .NET, .NET Core, JavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Windows
hostedLinux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counterno
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 indexesnonoyesyes
SQL infoSupport of SQLnonoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes infoSQL interfaced based on SQLite is available
APIs and other access methodsHTTP RESTRESTful HTTP APIIDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesGo
Java
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.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 proceduresnonono infosupport for stored procedures with SQL-Server CLRno
Triggersyes infovia Hawkular Alertingnoyes infoNotificationsyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoImplicit feature of the cloud serviceyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, with selectable consistency levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingoptimistic locking and pessimistic lockingACID
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.nonoyesyes
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)no
More information provided by the system vendor
Hawkular MetricsMicrosoft Azure Table StorageNCacheOracle Berkeley DB
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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Hawkular MetricsMicrosoft Azure Table StorageNCacheOracle Berkeley DB
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