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DBMS > Google BigQuery vs. Oracle Rdb vs. Sphinx vs. SurrealDB

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

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSphinx  Xexclude from comparisonSurrealDB  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 databasesA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSRelational DBMSSearch engineDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score1.08
Rank#187  Overall
#85  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Score0.91
Rank#204  Overall
#33  Document stores
#18  Graph DBMS
Websitecloud.google.com/­bigquerywww.oracle.com/­database/­technologies/­related/­rdb.htmlsphinxsearch.comsurrealdb.com
Technical documentationcloud.google.com/­bigquery/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsphinxsearch.com/­docssurrealdb.com/­docs
DeveloperGoogleOracle, originally developed by Digital Equipment Corporation (DEC)Sphinx Technologies Inc.SurrealDB Ltd
Initial release2010198420012022
Current release7.4.1.1, 20213.5.1, February 2023v1.1.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Rust
Server operating systemshostedHP Open VMSFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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)SQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIProprietary protocolGraphQL
RESTful HTTP API
WebSocket
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
Deno
Go
JavaScript (Node.js)
Rust
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 methodsnononono
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 nodenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
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)noyes, based on authentication and database rules

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Google BigQueryOracle RdbSphinxSurrealDB
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