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DBMS > Google Cloud Bigtable vs. NSDb vs. openGauss vs. Percona Server for MongoDB vs. Riak KV

System Properties Comparison Google Cloud Bigtable vs. NSDb vs. openGauss vs. Percona Server for MongoDB vs. Riak KV

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonNSDb  Xexclude from comparisonopenGauss  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRiak KV  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.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Distributed, fault tolerant key-value store
Primary database modelKey-value store
Wide column store
Time Series DBMSRelational DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitecloud.google.com/­bigtablensdb.iogitee.com/­opengauss
opengauss.org
www.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationcloud.google.com/­bigtable/­docsnsdb.io/­Architecturedocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.percona.com/­percona-distribution-for-mongodbwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGoogleHuawei and openGauss communityPerconaOpenSource, formerly Basho Technologies
Initial release20152017201920152009
Current release3.0, March 20223.4.10-2.10, November 20173.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open SourceOpen Source infoGPL Version 2Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ScalaC, C++, JavaC++Erlang
Server operating systemshostedLinux
macOS
LinuxLinuxLinux
OS X
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyes: int, bigint, decimal, stringyesyesno
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.nonononono
Secondary indexesnoall fields are automatically indexedyesyesrestricted
SQL infoSupport of SQLnoSQL-like query languageANSI SQL 2011nono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
HTTP REST
WebSocket
JDBC
ODBC
proprietary protocol using JSONHTTP API
Native Erlang Interface
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
C
C++
Java
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
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonoyesJavaScriptErlang
Triggersnoyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range, list and hash)ShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonoyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardAccess rights for users and rolesyes, using Riak Security

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More resources
Google Cloud BigtableNSDbopenGaussPercona Server for MongoDBRiak KV
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