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DBMS > 4D vs. Amazon Neptune vs. Databricks vs. OpenEdge

System Properties Comparison 4D vs. Amazon Neptune vs. Databricks vs. OpenEdge

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonDatabricks  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemFast, reliable graph database built for the cloudThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Application development environment with integrated database management system
Primary database modelRelational DBMSGraph DBMS
RDF store
Document store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Websitewww.4d.comaws.amazon.com/­neptunewww.databricks.comwww.progress.com/­openedge
Technical documentationdeveloper.4d.comaws.amazon.com/­neptune/­developer-resourcesdocs.databricks.comdocumentation.progress.com/­output/­ua/­OpenEdge_latest
Developer4D, IncAmazonDatabricksProgress Software Corporation
Initial release1984201720131984
Current releasev20, April 2023OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemsOS X
Windows
hostedhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnoyesyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92nowith Databricks SQLyes 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
RESTful HTTP API
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Python
R
Scala
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresyesnouser defined functions and aggregatesyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal 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.yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlUsers and groupsAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users and groups
More information provided by the system vendor
4D infoformer name: 4th DimensionAmazon NeptuneDatabricksOpenEdge
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
4D infoformer name: 4th DimensionAmazon NeptuneDatabricksOpenEdge
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