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DBMS > 4D vs. Atos Standard Common Repository vs. Hive vs. Memgraph vs. Microsoft Azure Synapse Analytics

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Hive vs. Memgraph vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHive  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 networksdata warehouse software for querying and managing large distributed datasets, built on HadoopAn open source graph database built for real-time streaming and compatible with Neo4jElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositoryhive.apache.orgmemgraph.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdeveloper.4d.comcwiki.apache.org/­confluence/­display/­Hive/­Homememgraph.com/­docsdocs.microsoft.com/­azure/­synapse-analytics
Social network pagesLinkedInTwitterFacebookGitHubDiscord
Developer4D, IncAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookMemgraph LtdMicrosoft
Initial release19842016201220172016
Current releasev20, April 202317033.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoBSL 1.1; commercial license for enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++C++
Server operating systemsOS X
Windows
LinuxAll OS with a Java VMLinuxhosted
Data schemeyesSchema and schema-less with LDAP viewsyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.yesyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noSQL-like DML and DDL statementsnoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJDBC
ODBC
Thrift
Bolt protocol
Cypher query language
ADO.NET
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsC++
Java
PHP
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresyesnoyes infouser defined functions and integration of map-reduceTransact SQL
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingSharding infodynamic graph partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesselectable replication factorMulti-source replication using RAFTyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes inforelationships in graphsno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers and groupsLDAP bind authenticationAccess rights for users, groups and rolesUsers, roles and permissionsyes
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryHiveMemgraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryHiveMemgraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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