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DBMS > Amazon Neptune vs. atoti vs. Datomic vs. NSDb vs. RethinkDB

System Properties Comparison Amazon Neptune vs. atoti vs. Datomic vs. NSDb vs. RethinkDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonatoti  Xexclude from comparisonDatomic  Xexclude from comparisonNSDb  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelGraph DBMS
RDF store
Object oriented DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsSpatial 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
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score2.84
Rank#106  Overall
#19  Document stores
Websiteaws.amazon.com/­neptuneatoti.iowww.datomic.comnsdb.iorethinkdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.atoti.iodocs.datomic.comnsdb.io/­Architecturerethinkdb.com/­docs
DeveloperAmazonActiveViamCognitectThe Linux Foundation infosince July 2017
Initial release2017201220172009
Current release1.0.6735, June 20232.4.1, August 2020
License infoCommercial or Open Sourcecommercialcommercial infofree versions availablecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ClojureJava, ScalaC++
Server operating systemshostedAll OS with a Java VMLinux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes infostring, binary, float, bool, date, geometry
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.nononono
Secondary indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)noSQL-like query languageno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
Java
Java
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresnoPythonyes infoTransaction Functionsno
TriggersnoBy using transaction functionsClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningnone infoBut extensive use of caching in the application peersShardingSharding inforange based
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 peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes infoMVCC based
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)Using Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noyes infousers and table-level permissions

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More resources
Amazon NeptuneatotiDatomicNSDbRethinkDB
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