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DBMS > Google BigQuery vs. JaguarDB vs. Microsoft Azure Table Storage vs. Stardog

System Properties Comparison Google BigQuery vs. JaguarDB vs. Microsoft Azure Table Storage vs. Stardog

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesPerformant, highly scalable DBMS for AI and IoT applicationsA Wide Column Store for rapid development using massive semi-structured datasetsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSKey-value storeWide column storeGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score37.63
Rank#24  Overall
#15  Relational DBMS
Score0.04
Rank#328  Overall
#52  Key-value stores
Score4.29
Rank#77  Overall
#5  Wide column stores
Score1.71
Rank#126  Overall
#10  Graph DBMS
#6  RDF stores
Websitecloud.google.com/­bigquerywww.datajaguar.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.stardog.com
Technical documentationcloud.google.com/­bigquery/­docswww.datajaguar.com/­support.phpdocs.stardog.com
DeveloperGoogleDataJaguar, Inc.MicrosoftStardog-Union
Initial release2010201520122010
Current release2.9.4 September 20187.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesJava
Server operating systemshostedLinuxhostedLinux
macOS
Windows
Data schemeyesyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono infoImport/export of XML data possible
Secondary indexesnoyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnonouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnononoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)rights management via user accountsAccess rights based on private key authentication or shared access signaturesAccess rights for users and roles
More information provided by the system vendor
Google BigQueryJaguarDBMicrosoft Azure Table StorageStardog
Specific characteristicsSQL support, group by, order by, join
» more
Stardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Stardog provides a full featureset to aid in data integration for your complex data....
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more

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More resources
Google BigQueryJaguarDBMicrosoft Azure Table StorageStardog
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