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DBMS > Databend vs. Databricks vs. SQLite

System Properties Comparison Databend vs. Databricks vs. SQLite

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDatabricks  Xexclude from comparisonSQLite  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 complexityThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Widely used embeddable, in-process RDBMS
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#294  Overall
#131  Relational DBMS
Score90.03
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score113.82
Rank#10  Overall
#7  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.databricks.comwww.sqlite.org
Technical documentationdocs.databend.comdocs.databricks.comwww.sqlite.org/­docs.html
DeveloperDatabend LabsDatabricksDwayne Richard Hipp
Initial release202120132000
Current release1.0.59, April 20233.46.1  (13 August 2024), August 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC
Server operating systemshosted
Linux
macOS
hostedserver-less
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes infodynamic column types
Typing infopredefined data types such as float or dateyesyes infonot rigid because of 'dynamic typing' concept.
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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLyeswith Databricks SQLyes infoSQL-92 is not fully supported
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnouser defined functions and aggregatesno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locks
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 with fine-grained authorization concept, user rolesno
More information provided by the system vendor
DatabendDatabricksSQLite
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabendDatabricksSQLite
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