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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. Derby vs. Hawkular Metrics

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. Derby vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelDocument storeRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Websiteaws.amazon.com/­documentdbphoenix.apache.orgdb.apache.org/­derbywww.hawkular.org
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgdb.apache.org/­derby/­manuals/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperApache Software FoundationApache Software FoundationCommunity supported by Red Hat
Initial release2019201419972014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201910.17.1.0, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache version 2Open 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 languageJavaJavaJava
Server operating systemshostedLinux
Unix
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCJDBCHTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaGo
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsJava Stored Proceduresno
Triggersnonoyesyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDno
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.yesyesno
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardno

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More resources
Amazon DocumentDBApache PhoenixDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBHawkular Metrics
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