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DBMS > Databend vs. LeanXcale vs. STSdb

System Properties Comparison Databend vs. LeanXcale vs. STSdb

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonLeanXcale  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAn 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 capabilitiesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#300  Overall
#136  Relational DBMS
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.leanxcale.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.databend.com
DeveloperDatabend LabsLeanXcaleSTS Soft SC
Initial release202120152011
Current release1.0.59, April 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC#
Server operating systemshosted
Linux
macOS
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)
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.no
Secondary indexesnono
SQL infoSupport of SQLyesyes infothrough Apache Derbyno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
.NET Client API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
Java
Scala
C#
Java
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
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.yes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesno

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DatabendLeanXcaleSTSdb
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