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DBMS > 4D vs. Atos Standard Common Repository vs. Databricks vs. Drizzle vs. HEAVY.AI

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Databricks vs. Drizzle vs. HEAVY.AI

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded 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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSDocument store
Key-value store
Document store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial 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
Score1.64
Rank#145  Overall
#67  Relational DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdeveloper.4d.comdocs.databricks.comdocs.heavy.ai
Developer4D, IncAtos Convergence CreatorsDatabricksDrizzle project, originally started by Brian AkerHEAVY.AI, Inc.
Initial release19842016201320082016
Current releasev20, April 202317037.2.4, September 20125.10, January 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGNU GPLOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++ and CUDA
Server operating systemsOS X
Windows
LinuxhostedFreeBSD
Linux
OS X
Linux
Data schemeyesSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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 indexesyesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92nowith Databricks SQLyes infowith proprietary extensionsyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJDBC
ODBC
RESTful HTTP API
JDBCJDBC
ODBC
Thrift
Vega
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsPython
R
Scala
C
C++
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesnouser defined functions and aggregatesnono
Triggersyesyesno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesnoyes
User concepts infoAccess controlUsers and groupsLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryDatabricksDrizzleHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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4D infoformer name: 4th DimensionAtos Standard Common RepositoryDatabricksDrizzleHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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