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DBMS > Google BigQuery vs. Linter vs. Snowflake vs. SQLite vs. SurrealDB

System Properties Comparison Google BigQuery vs. Linter vs. Snowflake vs. SQLite vs. SurrealDB

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonLinter  Xexclude from comparisonSnowflake  Xexclude from comparisonSQLite  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesRDBMS for high security requirementsCloud-based data warehousing service for structured and semi-structured dataWidely used embeddable, in-process RDBMSA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitecloud.google.com/­bigquerylinter.ruwww.snowflake.comwww.sqlite.orgsurrealdb.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.snowflake.net/­manuals/­index.htmlwww.sqlite.org/­docs.htmlsurrealdb.com/­docs
DeveloperGooglerelex.ruSnowflake Computing Inc.Dwayne Richard HippSurrealDB Ltd
Initial release20101990201420002022
Current release3.46.0  (23 May 2024), May 2024v1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoPublic DomainOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CRust
Server operating systemshostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hostedserver-lessLinux
macOS
Windows
Data schemeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes infodynamic column typesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infonot rigid because of 'dynamic typing' concept.yes
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.nonoyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyesyesyes infoSQL-92 is not fully supportedSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
CLI Client
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
GraphQL
RESTful HTTP API
WebSocket
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
JavaScript (Node.js)
Python
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
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infoproprietary syntax with the possibility to convert from PL/SQLuser defined functionsno
Triggersnoyesno infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationnoyes, based on authentication and database rules

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More resources
Google BigQueryLinterSnowflakeSQLiteSurrealDB
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