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DBMS > Google BigQuery vs. Oracle Rdb vs. Sphinx

System Properties Comparison Google BigQuery vs. Oracle Rdb vs. Sphinx

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score52.45
Rank#22  Overall
#14  Relational DBMS
Score1.45
Rank#160  Overall
#76  Relational DBMS
Score7.12
Rank#62  Overall
#8  Search engines
Websitecloud.google.com/­bigquerywww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.htmlsphinxsearch.com
Technical documentationcloud.google.com/­bigquery/­docssphinxsearch.com/­docs
DeveloperGoogleOracle, originally developed by Digital Equipment Corporation (DEC)Sphinx Technologies Inc.
Initial release201019842001
Current release7.4.1.1, 20213.4.1, July 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedHP Open VMSFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesno
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
Secondary indexesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyesSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP/JSON APIProprietary protocol
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datayes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)no

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More resources
Google BigQueryOracle RdbSphinx
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