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

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Databricks vs. Elasticsearch 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 comparisonElasticsearch  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.
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.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA 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
Search engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial 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
Score132.83
Rank#7  Overall
#1  Search engines
Score1.64
Rank#145  Overall
#67  Relational DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comwww.elastic.co/­elasticsearchgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdeveloper.4d.comdocs.databricks.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.heavy.ai
Developer4D, IncAtos Convergence CreatorsDatabricksElasticHEAVY.AI, Inc.
Initial release19842016201320102016
Current releasev20, April 202317038.6, January 20235.10, January 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoElastic LicenseOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++ and CUDA
Server operating systemsOS X
Windows
LinuxhostedAll OS with a Java VMLinux
Data schemeyesSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)schema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
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.yesyesyesnono
Secondary indexesyesyesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLyes infoclose to SQL 92nowith Databricks SQLSQL-like query languageyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Vega
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsPython
R
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesnouser defined functions and aggregatesyesno
Triggersyesyesyes infoby using the 'percolation' featureno
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 replicationyesyesyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDnono
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.noyesnoMemcached and Redis integrationyes
User concepts infoAccess controlUsers and groupsLDAP bind authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryDatabricksElasticsearchHEAVY.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 RepositoryDatabricksElasticsearchHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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