DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google BigQuery vs. IBM Db2 warehouse vs. PouchDB vs. SQLite

System Properties Comparison Google BigQuery vs. IBM Db2 warehouse vs. PouchDB vs. SQLite

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesCloud-based data warehousing serviceJavaScript DBMS with an API inspired by CouchDBWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitecloud.google.com/­bigquerywww.ibm.com/­products/­db2/­warehousepouchdb.comwww.sqlite.org
Technical documentationcloud.google.com/­bigquery/­docspouchdb.com/­guideswww.sqlite.org/­docs.html
DeveloperGoogleIBMApache Software FoundationDwayne Richard Hipp
Initial release2010201420122000
Current release7.1.1, June 20193.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC
Server operating systemshostedhostedserver-less, requires a JavaScript environment (browser, Node.js)server-less
Data schemeyesyesschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesnoyes 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.nono infoImport/export of XML data possiblenono
Secondary indexesnoyesyes infovia viewsyes
SQL infoSupport of SQLyesyesnoyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP/JSON API.NET Client API
JDBC
ODBC
OLE DB
HTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScriptActionscript
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 proceduresuser defined functions infoin JavaScriptPL/SQL, SQL PLView functions in JavaScriptno
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
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-standardnono

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more
Navicat for SQLite is a powerful and comprehensive SQLite GUI that provides a complete set of functions for database management and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google BigQueryIBM Db2 warehouse infoformerly named IBM dashDBPouchDBSQLite
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

show all

Big gains for Relational Database Management Systems in DB-Engines Ranking
2 February 2016, Matthias Gelbmann

show all

Recent citations in the news

Winning the 2020 Google Cloud Technology Partner of the Year – Infrastructure Modernization Award
22 December 2021, CIO

Google Cloud partners Coinbase to accept crypto payments
11 October 2022, Ledger Insights

Hightouch Raises $38M in Funding
19 July 2023, FinSMEs

provided by Google News

Announcing the deprecation of prior generation Db2 Warehouse plans on AWS
16 October 2023, IBM

Introducing the next generation of Db2 Warehouse: Our cost-effective, cloud-native data warehouse built for always-on ...
11 July 2023, IBM

Db2 Warehouse delivers 4x faster query performance than previously, while cutting storage costs by 34x
11 July 2023, IBM

Data mining in Db2 Warehouse: the basics
23 June 2020, Towards Data Science

Top 7 Cloud Data Warehouse Companies
31 May 2023, Datamation

provided by Google News

Building an Offline First App with PouchDB — SitePoint
10 March 2014, SitePoint

Getting Started with PouchDB Client-Side JavaScript Database — SitePoint
7 September 2016, SitePoint

3 Reasons To Think Offline First
22 March 2017, IBM

Create Offline Web Apps Using Service Workers & PouchDB — SitePoint
7 March 2017, SitePoint

Offline-first web and mobile apps: Top frameworks and components
22 January 2019, TechBeacon

provided by Google News

Microsoft Research chief scientist has no issue with Windows Recall
6 June 2024, The Register

How to work with Dapper and SQLite in ASP.NET Core
10 May 2024, InfoWorld

A Guide to Working with SQLite Databases in Python
21 May 2024, KDnuggets

SQLite Vulnerability Could Put Thousands of Apps at Risk
22 March 2024, Dark Reading

Copilot‘s screen-snapping Recall data stored in plain text
31 May 2024, CyberNews.com

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here