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DBMS > Google BigQuery vs. IBM Db2 warehouse vs. Memcached vs. SQLite vs. Yanza

System Properties Comparison Google BigQuery vs. IBM Db2 warehouse vs. Memcached vs. SQLite vs. Yanza

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMemcached  Xexclude from comparisonSQLite  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionLarge scale data warehouse service with append-only tablesCloud-based data warehousing serviceIn-memory key-value store, originally intended for cachingWidely used embeddable, in-process RDBMSTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSTime Series 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
Score18.08
Rank#32  Overall
#4  Key-value stores
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitecloud.google.com/­bigquerywww.ibm.com/­products/­db2/­warehousewww.memcached.orgwww.sqlite.orgyanza.com
Technical documentationcloud.google.com/­bigquery/­docsgithub.com/­memcached/­memcached/­wikiwww.sqlite.org/­docs.html
DeveloperGoogleIBMDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalDwayne Richard HippYanza
Initial release20102014200320002015
Current release1.6.27, May 20243.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD licenseOpen Source infoPublic Domaincommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC
Server operating systemshostedhostedFreeBSD
Linux
OS X
Unix
Windows
server-lessWindows
Data schemeyesyesschema-freeyes infodynamic column typesschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infonot rigid because of 'dynamic typing' concept.no
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 indexesnoyesnoyesno
SQL infoSupport of SQLyesyesnoyes infoSQL-92 is not fully supportedno
APIs and other access methodsRESTful HTTP/JSON API.NET Client API
JDBC
ODBC
OLE DB
Proprietary protocolADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
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
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptPL/SQL, SQL PLnonono
Triggersnoyesnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoRepcached, a Memcached patch, provides this functionallitynonenone
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 integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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-standardyes infousing SASL (Simple Authentication and Security Layer) protocolnono

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More resources
Google BigQueryIBM Db2 warehouse infoformerly named IBM dashDBMemcachedSQLiteYanza
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