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DBMS > Amazon Neptune vs. Datomic vs. Hazelcast vs. HyperSQL

System Properties Comparison Amazon Neptune vs. Datomic vs. Hazelcast vs. HyperSQL

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatomic  Xexclude from comparisonHazelcast  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA widely adopted in-memory data gridMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDB
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score3.49
Rank#87  Overall
#47  Relational DBMS
Websiteaws.amazon.com/­neptunewww.datomic.comhazelcast.comhsqldb.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.datomic.comhazelcast.org/­imdg/­docshsqldb.org/­web/­hsqlDocsFrame.html
DeveloperAmazonCognitectHazelcast
Initial release2017201220082001
Current release1.0.6735, June 20235.3.6, November 20232.7.2, June 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses availableOpen Source infobased on BSD license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaJava
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modes
Data schemeschema-freeyesschema-freeyes
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoSQL-like query languageyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
Java
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyes infoEvent Listeners, Executor ServicesJava, SQL
TriggersnoBy using transaction functionsyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingnone
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.none infoBut extensive use of caching in the application peersyes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noRole-based access controlfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneDatomicHazelcastHyperSQL infoalso known as HSQLDB
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