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DBMS > Amazon Aurora vs. EJDB vs. Hawkular Metrics vs. NSDb vs. SAP HANA

System Properties Comparison Amazon Aurora vs. EJDB vs. Hawkular Metrics vs. NSDb vs. SAP HANA

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEJDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonNSDb  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSDocument storeTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­Softmotions/­ejdbwww.hawkular.orgnsdb.iowww.sap.com/­products/­hana.html
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.hawkular.org/­hawkular-metrics/­docs/­user-guidensdb.io/­Architecturehelp.sap.com/­hana
DeveloperAmazonSoftmotionsCommunity supported by Red HatSAP
Initial release20152012201420172010
Current release2.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJava, Scala
Server operating systemshostedserver-lessLinux
OS X
Windows
Linux
macOS
Appliance or cloud-service
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyes: int, bigint, decimal, stringyes
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.yesnonono
Secondary indexesyesnonoall fields are automatically indexedyes
SQL infoSupport of SQLyesnonoSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
ODBC
in-process shared libraryHTTP RESTgRPC
HTTP REST
WebSocket
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
Python
Ruby
Java
Scala
Server-side scripts infoStored proceduresyesnononoSQLScript, R
Triggersyesnoyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infobased on CassandraShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoyes

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More resources
Amazon AuroraEJDBHawkular MetricsNSDbSAP HANA
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