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DBMS > Google BigQuery vs. IBM Db2 warehouse vs. KeyDB vs. SQream DB vs. Virtuoso

System Properties Comparison Google BigQuery vs. IBM Db2 warehouse vs. KeyDB vs. SQream DB vs. Virtuoso

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonKeyDB  Xexclude from comparisonSQream DB  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesCloud-based data warehousing serviceAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsa GPU-based, columnar RDBMS for big data analytics workloadsVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score4.26
Rank#78  Overall
#13  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#42  Relational DBMS
#2  RDF stores
#9  Search engines
Websitecloud.google.com/­bigquerywww.ibm.com/­products/­db2/­warehousegithub.com/­Snapchat/­KeyDB
keydb.dev
sqream.comvirtuoso.openlinksw.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.keydb.devdocs.sqream.comdocs.openlinksw.com/­virtuoso
DeveloperGoogleIBMEQ Alpha Technology Ltd.SQream TechnologiesOpenLink Software
Initial release20102014201920171998
Current release2022.1.6, December 20227.2.11, September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD-3commercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, CUDA, Haskell, Java, ScalaC
Server operating systemshostedhostedLinuxLinuxAIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes, ANSI Standard SQL Typesyes
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 possiblenoyes
Secondary indexesnoyesyes infoby using the Redis Search modulenoyes
SQL infoSupport of SQLyesyesnoyesyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsRESTful HTTP/JSON API.NET Client API
JDBC
ODBC
OLE DB
Proprietary protocol infoRESP - REdis Serialization Protoco.Net
JDBC
ODBC
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptPL/SQL, SQL PLLuauser defined functions in Pythonyes infoVirtuoso PL
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal and vertical partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
noneChain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
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-standardsimple password-based access control and ACLFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Google BigQueryIBM Db2 warehouse infoformerly named IBM dashDBKeyDBSQream DBVirtuoso
Specific characteristicsVirtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesPerformance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosUsed for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersBroad use across enterprises and governments including — European Union (EU) US Government...
» more
Market metricsLargest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsAvailable in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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More resources
Google BigQueryIBM Db2 warehouse infoformerly named IBM dashDBKeyDBSQream DBVirtuoso
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