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DBMS > Adabas vs. Hawkular Metrics vs. Kyligence Enterprise vs. Prometheus

System Properties Comparison Adabas vs. Hawkular Metrics vs. Kyligence Enterprise vs. Prometheus

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A distributed analytics engine for big data, built on top of Apache KylinOpen-source Time Series DBMS and monitoring system
Primary database modelMultivalue DBMSTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.hawkular.orgkyligence.io/­kyligence-enterpriseprometheus.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideprometheus.io/­docs
DeveloperSoftware AGCommunity supported by Red HatKyligence, Inc.
Initial release1971201420162015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGo
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Windows
LinuxLinux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.nononono infoImport of XML data possible
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
HTTP RESTJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesNaturalGo
Java
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresin Naturalnono
Triggersnoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatorselectable replication factor infobased on Cassandrayes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistencynone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nononono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)nono

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More resources
Adabas infodenotes "adaptable data base"Hawkular MetricsKyligence EnterprisePrometheus
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