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DBMS > Amazon DocumentDB vs. Hawkular Metrics vs. Kyligence Enterprise vs. Prometheus

System Properties Comparison Amazon DocumentDB vs. Hawkular Metrics vs. Kyligence Enterprise vs. Prometheus

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHawkular 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 modelDocument storeTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
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
Websiteaws.amazon.com/­documentdbwww.hawkular.orgkyligence.io/­kyligence-enterpriseprometheus.io
Technical documentationaws.amazon.com/­documentdb/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guideprometheus.io/­docs
DeveloperCommunity supported by Red HatKyligence, Inc.
Initial release2019201420162015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGo
Server operating systemshostedLinux
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 SQLnonoANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP RESTJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infobased on Cassandrayes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
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 integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document 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.nonono
User concepts infoAccess controlAccess rights for users and rolesnono

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More resources
Amazon DocumentDBHawkular MetricsKyligence EnterprisePrometheus
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