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DBMS > Google BigQuery vs. PieCloudDB vs. Spark SQL vs. TerminusDB vs. Transbase

System Properties Comparison Google BigQuery vs. PieCloudDB vs. Spark SQL vs. TerminusDB vs. Transbase

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonPieCloudDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA cloud-native analytic database platform with new technologoy for elastic MPPSpark SQL is a component on top of 'Spark Core' for structured data processingScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.32
Rank#289  Overall
#133  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitecloud.google.com/­bigquerywww.openpie.comspark.apache.org/­sqlterminusdb.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationcloud.google.com/­bigquery/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlterminusdb.github.io/­terminusdb/­#www.transaction.de/­en/­products/­transbase/­features.html
DeveloperGoogleOpenPieApache Software FoundationDataChemist Ltd.Transaction Software GmbH
Initial release2010201420181987
Current release2.1, January 20233.5.0 ( 2.13), September 202311.0.0, January 2023Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPL V3commercial infofree development license
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 languageScalaProlog, RustC and C++
Server operating systemshostedhostedLinux
OS X
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsSQL-like query language (WOQL)yes
APIs and other access methodsRESTful HTTP/JSON APICLI Client
JDBC
ODBC
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
PL/SQL
Python
R
Java
Python
R
Scala
JavaScript
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptuser defined functionsnoyesyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesyes, utilizing Spark CoreGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneJournaling StreamsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)User Roles and pluggable authentication with full SQL StandardnoRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Google BigQueryPieCloudDBSpark SQLTerminusDB infoformer name was DataChemistTransbase
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
Google BigQueryPieCloudDBSpark SQLTerminusDB infoformer name was DataChemistTransbase
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