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DBMS > Google BigQuery vs. Oracle NoSQL vs. Qdrant

System Properties Comparison Google BigQuery vs. Oracle NoSQL vs. Qdrant

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesA vector similarity Search Engine with neural network or semantic based matching
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.61
Rank#23  Overall
#15  Relational DBMS
Score4.74
Rank#82  Overall
#15  Document stores
#13  Key-value stores
#44  Relational DBMS
Score0.00
Rank#354  Overall
#21  Search engines
Websitecloud.google.com/­bigquerywww.oracle.com/­database/­technologies/­related/­nosql.htmlgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationcloud.google.com/­bigquery/­docsdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlqdrant.tech/­documentation
DeveloperGoogleOracleQdrant
Initial release201020112021
Current release22.1, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRust
Server operating systemshostedLinux
Solaris SPARC/x86
Docker
Data schemeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesoptionalyes
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
Secondary indexesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIRESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
Go
Java
JavaScript (Node.js)
Python
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infooff heap cache
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users and roles

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More resources
Google BigQueryOracle NoSQLQdrant
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