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DBMS > Hawkular Metrics vs. Microsoft Access vs. Oracle Coherence vs. SWC-DB vs. TimescaleDB

System Properties Comparison Hawkular Metrics vs. Microsoft Access vs. Oracle Coherence vs. SWC-DB vs. TimescaleDB

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Oracles in-memory data grid solutionA high performance, scalable Wide Column DBMSA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSRelational DBMSKey-value storeWide column storeTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.hawkular.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­java/­coherencegithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.timescale.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.timescale.com
DeveloperCommunity supported by Red HatMicrosoftOracleAlex KashirinTimescale
Initial release20141992200720202017
Current release1902 (16.0.11328.20222), March 201914.1, August 20230.5, April 20212.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficecommercialOpen Source infoGPL V3Open Source infoApache 2.0
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 languageJavaC++JavaC++C
Server operating systemsLinux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsAll OS with a Java VMLinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardnoSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP RESTADO.NET
DAO
ODBC
OLE DB
JCache
JPA
RESTful HTTP API
Proprietary protocol
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
C++.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infovia Hawkular Alertingyes infosince Access 2010 using the ACE-engineyes infoLive Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranoneyes, with selectable consistency levelSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003authentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standard

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More resources
Hawkular MetricsMicrosoft AccessOracle CoherenceSWC-DB infoSuper Wide Column DatabaseTimescaleDB
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