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DBMS > 4D vs. Atos Standard Common Repository vs. Databricks vs. InfluxDB

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Databricks vs. InfluxDB

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonInfluxDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksThe 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.DBMS for storing time series, events and metrics
Primary database modelRelational DBMSDocument store
Key-value store
Document store
Relational DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.37
Rank#110  Overall
#54  Relational DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comwww.influxdata.com/­products/­influxdb-overview
Technical documentationdeveloper.4d.comdocs.databricks.comdocs.influxdata.com/­influxdb
Developer4D, IncAtos Convergence CreatorsDatabricks
Initial release1984201620132013
Current releasev20, April 202317032.7.6, April 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGo
Server operating systemsOS X
Windows
LinuxhostedLinux
OS X infothrough Homebrew
Data schemeyesSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesoptionalNumeric data and Strings
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.yesyesyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92nowith Databricks SQLSQL-like query language
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJDBC
ODBC
RESTful HTTP API
HTTP API
JSON over UDP
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsPython
R
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyesnouser defined functions and aggregatesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoDepending on used storage engine
User concepts infoAccess controlUsers and groupsLDAP bind authenticationsimple rights management via user accounts
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryDatabricksInfluxDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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4D infoformer name: 4th DimensionAtos Standard Common RepositoryDatabricksInfluxDB
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