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DBMS > Amazon Neptune vs. Ehcache vs. Hawkular Metrics vs. Hypertable

System Properties Comparison Amazon Neptune vs. Ehcache vs. Hawkular Metrics vs. Hypertable

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonEhcache  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudA widely adopted Java cache with tiered storage optionsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelGraph DBMS
RDF store
Key-value storeTime Series DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Websiteaws.amazon.com/­neptunewww.ehcache.orgwww.hawkular.org
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.ehcache.org/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperAmazonTerracotta Inc, owned by Software AGCommunity supported by Red HatHypertable Inc.
Initial release2017200920142009
Current release3.10.0, March 20220.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesnononorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnononono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JCacheHTTP RESTC++ API
Thrift
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
JavaGo
Java
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnoyes infoCache Event Listenersyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerSharding infobased on CassandraSharding
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.yes infoby using Terracotta Serverselectable replication factor infobased on Cassandraselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourcenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nonono

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More resources
Amazon NeptuneEhcacheHawkular MetricsHypertable
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