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DBMS > Google BigQuery vs. JaguarDB vs. Qdrant

System Properties Comparison Google BigQuery vs. JaguarDB vs. Qdrant

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonJaguarDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesPerformant, highly scalable DBMS for AI and IoT applicationsA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSKey-value store
Vector DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score57.82
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#378  Overall
#59  Key-value stores
#15  Vector DBMS
Score1.26
Rank#163  Overall
#7  Vector DBMS
Websitecloud.google.com/­bigquerywww.jaguardb.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationcloud.google.com/­bigquery/­docswww.jaguardb.com/­support.htmlqdrant.tech/­documentation
DeveloperGoogleDataJaguar, Inc.Qdrant
Initial release201020152021
Current release3.3 July 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open 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 languageC++ infothe server part. Clients available in other languagesRust
Server operating systemshostedLinuxDocker
Linux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Boolean
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 indexesnoyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datano
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)rights management via user accountsKey-based authentication

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More resources
Google BigQueryJaguarDBQdrant
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