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DBMS > Datomic vs. Hawkular Metrics vs. Hypertable vs. Microsoft Access vs. SiriDB

System Properties Comparison Datomic vs. Hawkular Metrics vs. Hypertable vs. Microsoft Access vs. SiriDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSiriDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.An open source BigTable implementation based on distributed file systems such as HadoopMicrosoft 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.)Open Source Time Series DBMS
Primary database modelRelational DBMSTime Series DBMSWide column storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.datomic.comwww.hawkular.orgwww.microsoft.com/­en-us/­microsoft-365/­accesssiridb.com
Technical documentationdocs.datomic.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedeveloper.microsoft.com/­en-us/­accessdocs.siridb.com
DeveloperCognitectCommunity supported by Red HatHypertable Inc.MicrosoftCesbit
Initial release20122014200919922017
Current release1.0.6735, June 20230.9.8.11, March 20161902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license availablecommercial infoBundled with Microsoft OfficeOpen Source infoMIT License
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 languageJava, ClojureJavaC++C++C
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes infoNumeric data
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.nonono
Secondary indexesyesnorestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnononoyes infobut not compliant to any SQL standardno
APIs and other access methodsRESTful HTTP APIHTTP RESTC++ API
Thrift
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languagesClojure
Java
Go
Java
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonoyes infosince Access 2010 using the ACE-engineno
TriggersBy using transaction functionsyes infovia Hawkular Alertingnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infobased on CassandraShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor infobased on Cassandraselectable replication factor on file system levelnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlnononono infoa simple user-level security was built in till version Access 2003simple rights management via user accounts

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More resources
DatomicHawkular MetricsHypertableMicrosoft AccessSiriDB
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