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

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

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Editorial information provided by DB-Engines
NameAmazon Neptune  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, reliable graph database built for the cloudA 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 modelGraph DBMS
RDF store
Relational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score5.30
Rank#66  Overall
#36  Relational DBMS
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Websiteaws.amazon.com/­neptunephoenix.apache.orgdb.apache.org/­derbywww.hawkular.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesphoenix.apache.orgdb.apache.org/­derby/­manuals/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperAmazonApache Software FoundationApache Software FoundationCommunity supported by Red Hat
Initial release2017201419972014
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

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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 indexesnoyesyesno
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBCJDBCHTTP REST
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
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 high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication
Source-replica replication
Source-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop 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 integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
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 roles can be defined via the AWS Identity and Access Management (IAM)Access 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 NeptuneApache PhoenixDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBHawkular Metrics
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