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DBMS > 4D vs. Amazon Neptune vs. HarperDB vs. HugeGraph vs. OpenEdge

System Properties Comparison 4D vs. Amazon Neptune vs. HarperDB vs. HugeGraph vs. OpenEdge

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonHarperDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemFast, reliable graph database built for the cloudUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A fast-speed and highly-scalable Graph DBMSApplication development environment with integrated database management system
Primary database modelRelational DBMSGraph DBMS
RDF store
Document storeGraph DBMSRelational 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
Score0.60
Rank#244  Overall
#38  Document stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Websitewww.4d.comaws.amazon.com/­neptunewww.harperdb.iogithub.com/­hugegraph
hugegraph.apache.org
www.progress.com/­openedge
Technical documentationdeveloper.4d.comaws.amazon.com/­neptune/­developer-resourcesdocs.harperdb.io/­docshugegraph.apache.org/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latest
Developer4D, IncAmazonHarperDBBaiduProgress Software Corporation
Initial release19842017201720181984
Current releasev20, April 20233.1, August 20210.9OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community edition availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsJava
Server operating systemsOS X
Windows
hostedLinux
OS X
Linux
macOS
Unix
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freedynamic schemayesyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyesyes
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.yesnononoyes
Secondary indexesyesnoyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLyes infoclose to SQL 92noSQL-like data manipulation statementsnoyes infoclose to SQL 92
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
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Groovy
Java
Python
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresyesnoCustom Functions infosince release 3.1asynchronous Gremlin script jobsyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneA table resides as a whole on one (or more) nodes in a clusteryes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning infosince Version 11.4
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.yes infothe nodes on which a table resides can be definedyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlUsers and groupsAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesUsers, roles and permissionsUsers and groups

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More resources
4D infoformer name: 4th DimensionAmazon NeptuneHarperDBHugeGraphOpenEdge
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