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DBMS > Hawkular Metrics vs. OpenEdge vs. Prometheus vs. Weaviate

System Properties Comparison Hawkular Metrics vs. OpenEdge vs. Prometheus vs. Weaviate

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Application development environment with integrated database management systemOpen-source Time Series DBMS and monitoring systemAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score3.75
Rank#88  Overall
#47  Relational DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitewww.hawkular.orgwww.progress.com/­openedgeprometheus.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docsweaviate.io/­developers/­weaviate
DeveloperCommunity supported by Red HatProgress Software CorporationWeaviate B.V.
Initial release2014198420152019
Current releaseOpenEdge 12.2, March 20201.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
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 languageJavaGoGo
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeschema-freeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.noyesno infoImport of XML data possibleno
Secondary indexesnoyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyes infoclose to SQL 92noGraphQL is used as query language
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP/JSON APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyesnono
Triggersyes infovia Hawkular Alertingyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning infosince Version 11.4ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationyes infoby Federationyes
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
Immediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
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.nononoyes
User concepts infoAccess controlnoUsers and groupsnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Hawkular MetricsOpenEdgePrometheusWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Hawkular MetricsOpenEdgePrometheusWeaviate
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