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DBMS > 4D vs. Databend vs. LeanXcale

System Properties Comparison 4D vs. Databend vs. LeanXcale

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDatabend  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Websitewww.4d.comgithub.com/­datafuselabs/­databend
www.databend.com
www.leanxcale.com
Technical documentationdeveloper.4d.comdocs.databend.com
Developer4D, IncDatabend LabsLeanXcale
Initial release198420212015
Current releasev20, April 20231.0.59, April 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRust
Server operating systemsOS X
Windows
hosted
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesno
SQL infoSupport of SQLyes infoclose to SQL 92yesyes infothrough Apache Derby
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
CLI Client
JDBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languages4D proprietary IDE
PHP
Go
Java
JavaScript (Node.js)
Python
Rust
C
Java
Scala
Server-side scripts infoStored proceduresyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 groupsUsers with fine-grained authorization concept, user roles

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More resources
4D infoformer name: 4th DimensionDatabendLeanXcale
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