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DBMS > Google BigQuery vs. Microsoft Azure AI Search vs. OceanBase vs. Prometheus

System Properties Comparison Google BigQuery vs. Microsoft Azure AI Search vs. OceanBase vs. Prometheus

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOceanBase  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesSearch-as-a-service for web and mobile app developmentA distributed, high available RDBMS compatible with Oracle and MySQLOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSSearch engineRelational DBMSTime Series DBMS
Secondary database modelsVector DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitecloud.google.com/­bigqueryazure.microsoft.com/­en-us/­services/­searchen.oceanbase.comprometheus.io
Technical documentationcloud.google.com/­bigquery/­docslearn.microsoft.com/­en-us/­azure/­searchen.oceanbase.com/­docs/­oceanbase-databaseprometheus.io/­docs
DeveloperGoogleMicrosoftOceanBase infopreviously Alibaba and Ant Group
Initial release2010201520102015
Current releaseV14.3.0, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoCommercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemshostedhostedLinuxLinux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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 infoImport of XML data possible
Secondary indexesnoyesyesno
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
RESTful HTTP/JSON API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
JavaScript
Python
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning (by hash, key, range, range columns, list, and list columns)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication using Paxosyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infousing Azure authenticationAccess rights for users, groups and roles according to SQL-standardno

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More resources
Google BigQueryMicrosoft Azure AI SearchOceanBasePrometheus
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