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DBMS > 4D vs. Databricks vs. H2 vs. ObjectBox vs. Oracle NoSQL

System Properties Comparison 4D vs. Databricks vs. H2 vs. ObjectBox vs. Oracle NoSQL

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDatabricks  Xexclude from comparisonH2  Xexclude from comparisonObjectBox  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemThe 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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSObject oriented DBMS
Vector DBMS
Document store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Websitewww.4d.comwww.databricks.comwww.h2database.comgithub.com/­objectbox
objectbox.io
www.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationdeveloper.4d.comdocs.databricks.comwww.h2database.com/­html/­main.htmldocs.objectbox.iodocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
Developer4D, IncDatabricksThomas MuellerObjectBox LimitedOracle
Initial release19842013200520172011
Current releasev20, April 20232.2.220, July 20234.0 (May 2024)24.1, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Bindings are released under Apache 2.0 infoApache License 2.0Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java
Server operating systemsOS X
Windows
hostedAll OS with a Java VMAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
Solaris SPARC/x86
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesyesyes, plus "flex" map-like typesoptional
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.yesyesnonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92with Databricks SQLyesnoSQL-like DML and DDL statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary native APIRESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
Python
R
Scala
JavaC
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesJava Stored Procedures and User-Defined Functionsnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseData sync between devices allowing occasional connected databases to work completely offlineElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes infooff heap cache
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardyesAccess rights for users and roles
More information provided by the system vendor
4D infoformer name: 4th DimensionDatabricksH2ObjectBoxOracle NoSQL
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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