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DBMS > Google Cloud Bigtable vs. MonetDB vs. Newts vs. ObjectBox vs. PlanetScale

System Properties Comparison Google Cloud Bigtable vs. MonetDB vs. Newts vs. ObjectBox vs. PlanetScale

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMonetDB  Xexclude from comparisonNewts  Xexclude from comparisonObjectBox  Xexclude from comparisonPlanetScale  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 columnsTime Series DBMS based on CassandraExtremely fast embedded database for small devices, IoT and MobileScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelKey-value store
Wide column store
Relational DBMSTime Series DBMSObject oriented DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websitecloud.google.com/­bigtablewww.monetdb.orgopennms.github.io/­newtsobjectbox.ioplanetscale.com
Technical documentationcloud.google.com/­bigtable/­docswww.monetdb.org/­Documentationgithub.com/­OpenNMS/­newts/­wikidocs.objectbox.ioplanetscale.com/­docs
DeveloperGoogleMonetDB BVOpenNMS GroupObjectBox LimitedPlanetScale
Initial release20152004201420172020
Current releaseDec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0Open Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC and C++Go
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Android
iOS
Linux
macOS
Windows
Docker
Linux
macOS
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesnoyesnoyesyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsnonoyes infowith proprietary extensions
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
HTTP REST
Java API
Proprietary native APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes, in SQL, C, Rnonoyes infoproprietary syntax
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesSharding infobased on CassandranoneSharding
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 statusselectable replication factor infobased on Cassandraonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
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 infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
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-standardnoyesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Google Cloud BigtableMonetDBNewtsObjectBoxPlanetScale
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More resources
Google Cloud BigtableMonetDBNewtsObjectBoxPlanetScale
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