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DBMS > Google BigQuery vs. Infobright vs. Interbase vs. Microsoft Azure AI Search vs. Sphinx

System Properties Comparison Google BigQuery vs. Infobright vs. Interbase vs. Microsoft Azure AI Search vs. Sphinx

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonInfobright  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendLight-weight proven RDBMS infooriginally from BorlandSearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engineSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score5.95
Rank#55  Overall
#5  Search engines
Websitecloud.google.com/­bigqueryignitetech.com/­softwarelibrary/­infobrightdbwww.embarcadero.com/­products/­interbaseazure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.embarcadero.com/­products/­interbaselearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperGoogleIgnite Technologies Inc.; formerly InfoBright Inc.EmbarcaderoMicrosoftSphinx Technologies Inc.
Initial release20102005198420152001
Current releaseInterBase 2020, December 2019V13.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC++
Server operating systemshostedLinux
Windows
Android
iOS
Linux
OS X
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonono infoexport as XML data possibleno
Secondary indexesnono infoKnowledge Grid Technology used insteadyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyesyesnoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP APIProprietary protocol
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoyes infoInterbase procedure and trigger languagenono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInterbase Change Viewsyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyesyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesfine grained access rights according to SQL-standardyes infousing Azure authenticationno

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Google BigQueryInfobrightInterbaseMicrosoft Azure AI SearchSphinx
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