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DBMS > Google BigQuery vs. Linter vs. Percona Server for MongoDB vs. YDB

System Properties Comparison Google BigQuery vs. Linter vs. Percona Server for MongoDB vs. YDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonLinter  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesRDBMS for high security requirementsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSDocument storeDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitecloud.google.com/­bigquerylinter.ruwww.percona.com/­mongodb/­software/­percona-server-for-mongodbgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationcloud.google.com/­bigquery/­docsdocs.percona.com/­percona-distribution-for-mongodbydb.tech/­en/­docs
DeveloperGooglerelex.ruPerconaYandex
Initial release2010199020152019
Current release3.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL Version 2Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++
Server operating systemshostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
LinuxLinux
Data schemeyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyesnoSQL-like query language (YQL)
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
proprietary protocol using JSONRESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infoproprietary syntax with the possibility to convert from PL/SQLJavaScriptno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDnoACID
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.noyes infovia In-Memory Engineno
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-standardAccess rights for users and rolesAccess rights defined for Yandex Cloud users

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More resources
Google BigQueryLinterPercona Server for MongoDBYDB
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