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DBMS > Google BigQuery vs. RethinkDB vs. SAP SQL Anywhere vs. Trafodion

System Properties Comparison Google BigQuery vs. RethinkDB vs. SAP SQL Anywhere vs. Trafodion

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonRethinkDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionLarge scale data warehouse service with append-only tablesDBMS for the Web with a mechanism to push updated query results to applications in realtime.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websitecloud.google.com/­bigqueryrethinkdb.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmltrafodion.apache.org
Technical documentationcloud.google.com/­bigquery/­docsrethinkdb.com/­docshelp.sap.com/­docs/­SAP_SQL_Anywheretrafodion.apache.org/­documentation.html
DeveloperGoogleThe Linux Foundation infosince July 2017SAP infoformerly SybaseApache Software Foundation, originally developed by HP
Initial release2010200919922014
Current release2.4.1, August 202017, July 20152.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java
Server operating systemshostedLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryyesyes
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.nonoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes, in C/C++, Java, .Net or PerlJava Stored Procedures
TriggersnoClient-side triggers through changefeedsyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding inforange basednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoDatabase mirroringyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataAtomic single-document operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyes
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.nonoyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infousers and table-level permissionsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Google BigQueryRethinkDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTrafodion
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