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

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

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Hawkular 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 modelWide column storeTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.82
Rank#65  Overall
#4  Wide column stores
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.44
Rank#259  Overall
#118  Relational DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.hawkular.orgkyligence.io/­kyligence-enterpriseprometheus.io
Technical documentationdocs.datastax.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guideprometheus.io/­docs
DeveloperDataStaxCommunity supported by Red HatKyligence, Inc.
Initial release2011201420162015
Current release6.8, April 2020
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.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaJavaGo
Server operating systemsLinux
OS X
Linux
OS X
Windows
LinuxLinux
Windows
Data schemeschema-freeschema-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 SQLSQL-like DML and DDL statements (CQL); Spark SQLnoANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HTTP RESTJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersyesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingselectable replication factor infobased on Cassandrayes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual 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 datano infoAtomicity and isolation are supported for single operationsnono
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.yesnonono
User concepts infoAccess controlAccess rights for users can be defined per objectnono
More information provided by the system vendor
Datastax EnterpriseHawkular MetricsKyligence EnterprisePrometheus
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Datastax EnterpriseHawkular MetricsKyligence EnterprisePrometheus
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