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DBMS > Dolt vs. Google Cloud Bigtable vs. MonetDB vs. ObjectBox

System Properties Comparison Dolt vs. Google Cloud Bigtable vs. MonetDB vs. ObjectBox

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMonetDB  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaGoogle'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 columnsExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelRelational DBMSKey-value store
Wide column store
Relational DBMSObject oriented DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
cloud.google.com/­bigtablewww.monetdb.orgobjectbox.io
Technical documentationdocs.dolthub.comcloud.google.com/­bigtable/­docswww.monetdb.org/­Documentationdocs.objectbox.io
DeveloperDoltHub IncGoogleMonetDB BVObjectBox Limited
Initial release2018201520042017
Current releaseDec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMozilla Public License 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCC and C++
Server operating systemsLinux
macOS
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyesnoyes infoSQL 2003 with some extensionsno
APIs and other access methodsCLI Client
HTTP REST
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary native API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenoyes, in SQL, C, Rno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Internal replication in Colossus, and regional replication between two clusters in different zonesnone infoSource-replica replication available in experimental statusonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDACID
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.nono
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardyes
More information provided by the system vendor
DoltGoogle Cloud BigtableMonetDBObjectBox
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More resources
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