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DBMS > Google Cloud Bigtable vs. MonetDB vs. VelocityDB vs. VoltDB

System Properties Comparison Google Cloud Bigtable vs. MonetDB vs. VelocityDB vs. VoltDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMonetDB  Xexclude from comparisonVelocityDB  Xexclude from comparisonVoltDB  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 .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelKey-value store
Wide column store
Relational DBMSGraph DBMS
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
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
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
#21  Object oriented DBMS
Score1.38
Rank#156  Overall
#72  Relational DBMS
Websitecloud.google.com/­bigtablewww.monetdb.orgvelocitydb.comwww.voltdb.com
Technical documentationcloud.google.com/­bigtable/­docswww.monetdb.org/­Documentationvelocitydb.com/­UserGuidedocs.voltdb.com
DeveloperGoogleMonetDB BVVelocityDB IncVoltDB Inc.
Initial release2015200420112010
Current releaseDec2023 (11.49), December 20237.x11.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0commercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#Java, C++
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Any that supports .NETLinux
OS X infofor development
Data schemeschema-freeyesyesyes
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.nono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsnoyes infoonly a subset of SQL 99
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
.NetJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.NetC#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyes, in SQL, C, RnoJava
TriggersnoyesCallbacks are triggered when data changesno
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 statusMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
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 integritynoyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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-standardBased on Windows AuthenticationUsers and roles with access to stored procedures

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More resources
Google Cloud BigtableMonetDBVelocityDBVoltDB
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