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DBMS > Amazon Neptune vs. Datomic vs. Dragonfly vs. OpenEdge vs. Yanza

System Properties Comparison Amazon Neptune vs. Datomic vs. Dragonfly vs. OpenEdge vs. Yanza

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatomic  Xexclude from comparisonDragonfly  Xexclude from comparisonOpenEdge  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceApplication development environment with integrated database management systemTime Series DBMS for IoT Applications
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Websiteaws.amazon.com/­neptunewww.datomic.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.progress.com/­openedgeyanza.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.datomic.comwww.dragonflydb.io/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperAmazonCognitectDragonflyDB team and community contributorsProgress Software CorporationYanza
Initial release20172012202319842015
Current release1.0.7075, December 20231.0, March 2023OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoBSL 1.1commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++
Server operating systemshostedAll OS with a Java VMLinuxAIX
HP-UX
Linux
Solaris
Windows
Windows
Data schemeschema-freeyesscheme-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arraysyesno
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.nononoyesno
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLnononoyes infoclose to SQL 92no
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
Java
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Progress proprietary ABL (Advanced Business Language)any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsLuayesno
TriggersnoBy using transaction functionspublish/subscribe channels provide some trigger functionalityyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peershorizontal partitioning infosince Version 11.4none
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 replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of command blocks and scriptsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noPassword-based authenticationUsers and groupsno

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More resources
Amazon NeptuneDatomicDragonflyOpenEdgeYanza
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