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DBMS > Hawkular Metrics vs. Prometheus vs. Vertica

System Properties Comparison Hawkular Metrics vs. Prometheus vs. Vertica

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonPrometheus  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Open-source TimeSeries DBMS and monitoring systemColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#292  Overall
#23  Time Series DBMS
Score4.01
Rank#73  Overall
#3  Time Series DBMS
Score22.63
Rank#29  Overall
#17  Relational DBMS
Websitewww.hawkular.orgprometheus.iowww.vertica.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideprometheus.io/­docswww.vertica.com/­documentation/­vertica/­9-3-x-documentation
DeveloperCommunity supported by Red HatVertica / Micro Focus infoprior to that Hewlett Packard
Initial release201420152005
Current releaseVertica Analytics Platform 9.3.x, January 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
Data schemeschema-freeyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
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.nono infoImport of XML data possibleyes
Secondary indexesnonono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnonoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsHTTP RESTRESTful HTTP/JSON APIADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesGo
Java
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnonoyes
Triggersyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoby FederationMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnonofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Hawkular MetricsPrometheusVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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More resources
Hawkular MetricsPrometheusVertica infoVertica Analytics Platform
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