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DBMS > 4D vs. Hive vs. LeanXcale vs. Microsoft Azure Synapse Analytics

System Properties Comparison 4D vs. Hive vs. LeanXcale vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonHive  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemdata warehouse software for querying and managing large distributed datasets, built on HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational 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
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.4d.comhive.apache.orgwww.leanxcale.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdeveloper.4d.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­azure/­synapse-analytics
Developer4D, IncApache Software Foundation infoinitially developed by FacebookLeanXcaleMicrosoft
Initial release1984201220152016
Current releasev20, April 20233.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsOS X
Windows
All OS with a Java VMhosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsyes infothrough Apache Derbyyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
Thrift
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
C++
Java
PHP
Python
C
Java
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceTransact SQL
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno 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 dataACIDnoACIDACID
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.noyes
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and rolesyes

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More resources
4D infoformer name: 4th DimensionHiveLeanXcaleMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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