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DBMS > 4D vs. Amazon Neptune vs. OpenEdge vs. Quasardb vs. Riak TS

System Properties Comparison 4D vs. Amazon Neptune vs. OpenEdge vs. Quasardb vs. Riak TS

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonOpenEdge  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemFast, reliable graph database built for the cloudApplication development environment with integrated database management systemDistributed, high-performance timeseries databaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitewww.4d.comaws.amazon.com/­neptunewww.progress.com/­openedgequasar.ai
Technical documentationdeveloper.4d.comaws.amazon.com/­neptune/­developer-resourcesdocumentation.progress.com/­output/­ua/­OpenEdge_latestdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer4D, IncAmazonProgress Software CorporationquasardbOpen Source, formerly Basho Technologies
Initial release19842017198420092015
Current releasev20, April 2023OpenEdge 12.2, March 20203.14.1, January 20243.0.0, September 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Erlang
Server operating systemsOS X
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryno
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.yesnoyesnono
Secondary indexesyesnoyesyes infowith tagsrestricted
SQL infoSupport of SQLyes infoclose to SQL 92noyes infoclose to SQL 92SQL-like query languageyes, limited
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
HTTP APIHTTP API
Native Erlang Interface
Supported programming languages4D proprietary IDE
PHP
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Progress proprietary ABL (Advanced Business Language).Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyesnoyesnoErlang
Triggersyesnoyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning infosince Version 11.4Sharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-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.Source-replica replicationSource-replica replication with selectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyesnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlUsers and groupsAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users and groupsCryptographically strong user authentication and audit trailno

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More resources
4D infoformer name: 4th DimensionAmazon NeptuneOpenEdgeQuasardbRiak TS
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