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DBMS > Amazon Aurora vs. Hawkular Metrics vs. Prometheus vs. Rockset

System Properties Comparison Amazon Aurora vs. Hawkular Metrics vs. Prometheus vs. Rockset

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPrometheus  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Open-source Time Series DBMS and monitoring systemA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSDocument store
Secondary database modelsDocument storeRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Websiteaws.amazon.com/­rds/­aurorawww.hawkular.orgprometheus.iorockset.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guideprometheus.io/­docsdocs.rockset.com
DeveloperAmazonCommunity supported by Red HatRockset
Initial release2015201420152019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
hosted
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlydynamic typing
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.yesnono infoImport of XML data possibleno infoingestion from XML files supported
Secondary indexesyesnonoall fields are automatically indexed
SQL infoSupport of SQLyesnonoRead-only SQL queries, including JOINs
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP RESTRESTful HTTP/JSON APIHTTP REST
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnonono
Triggersyesyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infobased on CassandraShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandrayes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon AuroraHawkular MetricsPrometheusRockset
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