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DBMS > Databend vs. Galaxybase vs. IBM Cloudant vs. Spark SQL

System Properties Comparison Databend vs. Galaxybase vs. IBM Cloudant vs. Spark SQL

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGalaxybase  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSpark SQL  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 complexityScalable, ACID-compliant native distributed parallel graph platformDatabase as a Service offering based on Apache CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSGraph DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
galaxybase.comwww.ibm.com/­products/­cloudantspark.apache.org/­sql
Technical documentationdocs.databend.comcloud.ibm.com/­docs/­Cloudantspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDatabend LabsChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software Foundation
Initial release2021201720102014
Current release1.0.59, April 2023Nov 20, November 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC and JavaErlangScala
Server operating systemshosted
Linux
macOS
LinuxhostedLinux
OS X
Windows
Data schemeyesStrong typed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesnoyesyesno
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statements
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Go
Java
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined procedures and functionsView functions (Map-Reduce) in JavaScriptno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
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.yesnono
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesRole-based access controlAccess rights for users can be defined per databaseno

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More resources
DatabendGalaxybaseIBM CloudantSpark SQL
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