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DBMS > Hawkular Metrics vs. Oracle Berkeley DB vs. Rockset vs. SAP SQL Anywhere

System Properties Comparison Hawkular Metrics vs. Oracle Berkeley DB vs. Rockset vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRockset  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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 scalable, reliable search and analytics service in the cloud, built on RocksDBRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Score4.57
Rank#78  Overall
#43  Relational DBMS
Websitewww.hawkular.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrockset.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.rockset.comhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCommunity supported by Red HatOracle infooriginally developed by Sleepycat, which was acquired by OracleRocksetSAP infoformerly Sybase
Initial release2014199420191992
Current release18.1.40, May 202017, July 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infocommercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
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++
Server operating systemsLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnodynamic typingyes
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 infoingestion from XML files supportedyes
Secondary indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableRead-only SQL queries, including JOINsyes
APIs and other access methodsHTTP RESTHTTP RESTADO.NET
HTTP API
JDBC
ODBC
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
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoyes, in C/C++, Java, .Net or Perl
Triggersyes infovia Hawkular Alertingyes infoonly for the SQL APInoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationyesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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
User concepts infoAccess controlnonoAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard

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More resources
Hawkular MetricsOracle Berkeley DBRocksetSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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