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DBMS > Google Cloud Bigtable vs. MonetDB vs. Percona Server for MongoDB vs. TDengine

System Properties Comparison Google Cloud Bigtable vs. MonetDB vs. Percona Server for MongoDB vs. TDengine

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMonetDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTDengine  Xexclude from comparison
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 relational database management system that stores data in columnsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Time Series DBMS and big data platform
Primary database modelKey-value store
Wide column store
Relational DBMSDocument storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitecloud.google.com/­bigtablewww.monetdb.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationcloud.google.com/­bigtable/­docswww.monetdb.org/­Documentationdocs.percona.com/­percona-distribution-for-mongodbdocs.tdengine.com
DeveloperGoogleMonetDB BVPerconaTDEngine, previously Taos Data
Initial release2015200420152019
Current releaseDec2023 (11.49), December 20233.4.10-2.10, November 20173.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoGPL Version 2Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
LinuxLinux
Windows
Data schemeschema-freeyesschema-freeyes
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.nonono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsnoStandard SQL with extensions for time-series applications
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
proprietary protocol using JSONJDBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
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
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes, in SQL, C, RJavaScriptno
Triggersnoyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnone infoSource-replica replication available in experimental statusSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
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
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDno
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 Engine
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users and rolesyes
More information provided by the system vendor
Google Cloud BigtableMonetDBPercona Server for MongoDBTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Google Cloud BigtableMonetDBPercona Server for MongoDBTDengine
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