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DBMS > Google Cloud Bigtable vs. MonetDB vs. PieCloudDB vs. Quasardb

System Properties Comparison Google Cloud Bigtable vs. MonetDB vs. PieCloudDB vs. Quasardb

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMonetDB  Xexclude from comparisonPieCloudDB  Xexclude from comparisonQuasardb  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 cloud-native analytic database platform with new technologoy for elastic MPPDistributed, high-performance timeseries database
Primary database modelKey-value store
Wide column store
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score0.31
Rank#291  Overall
#133  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitecloud.google.com/­bigtablewww.monetdb.orgwww.openpie.comquasar.ai
Technical documentationcloud.google.com/­bigtable/­docswww.monetdb.org/­Documentationdoc.quasar.ai/­master
DeveloperGoogleMonetDB BVOpenPiequasardb
Initial release201520042009
Current releaseDec2023 (11.49), December 20232.1, January 20233.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
hostedBSD
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes infointeger and binary
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 infowith tags
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsyesSQL-like query language
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
CLI Client
JDBC
ODBC
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
PL/SQL
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes, in SQL, C, Ruser defined functionsno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesyesSharding infoconsistent hashing
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 statusyesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
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-standardUser Roles and pluggable authentication with full SQL StandardCryptographically strong user authentication and audit trail
More information provided by the system vendor
Google Cloud BigtableMonetDBPieCloudDBQuasardb
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
Google Cloud BigtableMonetDBPieCloudDBQuasardb
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