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DBMS > Google Cloud Bigtable vs. Percona Server for MongoDB vs. Trino vs. Yaacomo

System Properties Comparison Google Cloud Bigtable vs. Percona Server for MongoDB vs. Trino vs. Yaacomo

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTrino  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value store
Wide column store
Document storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.50
Rank#250  Overall
#39  Document stores
Score5.28
Rank#61  Overall
#35  Relational DBMS
Websitecloud.google.com/­bigtablewww.percona.com/­mongodb/­software/­percona-server-for-mongodbtrino.ioyaacomo.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.percona.com/­percona-distribution-for-mongodbtrino.io/­broadcast
trino.io/­docs/­current
DeveloperGooglePerconaTrino Software FoundationQ2WEB GmbH
Initial release201520152012 info2020 rebranded from PrestoSQL2009
Current release3.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedLinuxLinux
macOS infofor devlopment
Android
Linux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesdepending on connected data-sourceyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
proprietary protocol using JSONJDBC
RESTful HTTP API
Trino CLI
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
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)
Python
R
Ruby
Server-side scripts infoStored proceduresnoJavaScriptyes, depending on connected data-source
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingdepending on connected data-sourcehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationdepending on connected data-sourceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
depending on connected data-sourceImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnodepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovia In-Memory Engineyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesSQL standard access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud BigtablePercona Server for MongoDBTrinoYaacomo
News

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More resources
Google Cloud BigtablePercona Server for MongoDBTrinoYaacomo
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