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DBMS > GBase vs. Google Cloud Bigtable vs. Percona Server for MongoDB vs. Quasardb

System Properties Comparison GBase vs. Google Cloud Bigtable vs. Percona Server for MongoDB vs. Quasardb

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Distributed, high-performance timeseries database
Primary database modelRelational DBMSKey-value store
Wide column store
Document storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.52
Rank#254  Overall
#39  Document stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.gbase.cncloud.google.com/­bigtablewww.percona.com/­mongodb/­software/­percona-server-for-mongodbquasar.ai
Technical documentationcloud.google.com/­bigtable/­docsdocs.percona.com/­percona-distribution-for-mongodbdoc.quasar.ai/­master
DeveloperGeneral Data Technology Co., Ltd.GooglePerconaquasardb
Initial release2004201520152009
Current releaseGBase 8a, GBase 8s, GBase 8c3.4.10-2.10, November 20173.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, PythonC++C++
Server operating systemsLinuxhostedLinuxBSD
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes 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.yesnonono
Secondary indexesyesnoyesyes infowith tags
SQL infoSupport of SQLStandard with numerous extensionsnonoSQL-like query language
APIs and other access methodsADO.NET
C API
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
proprietary protocol using JSONHTTP API
Supported programming languagesC#C#
C++
Go
Java
JavaScript (Node.js)
Python
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
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsnoJavaScriptno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACID
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 infovia In-Memory Engineyes infoTransient mode
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesCryptographically strong user authentication and audit trail

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More resources
GBaseGoogle Cloud BigtablePercona Server for MongoDBQuasardb
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