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DBMS > Google Cloud Bigtable vs. NSDb vs. PostgreSQL vs. SiriDB

System Properties Comparison Google Cloud Bigtable vs. NSDb vs. PostgreSQL vs. SiriDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonNSDb  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSiriDB  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 KubernetesWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen Source Time Series DBMS
Primary database modelWide column storeTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.63
Rank#91  Overall
#8  Wide column stores
Score0.00
Rank#360  Overall
#37  Time Series DBMS
Score608.21
Rank#4  Overall
#4  Relational DBMS
Score0.01
Rank#347  Overall
#34  Time Series DBMS
Websitecloud.google.com/­bigtablensdb.iowww.postgresql.orgsiridb.net
Technical documentationcloud.google.com/­bigtable/­docsnsdb.io/­Architecturewww.postgresql.org/­docsdocs.siridb.net
DeveloperGooglePostgreSQL Global Development Group infowww.postgresql.org/­developerTransceptor Technology
Initial release201520171989 info1989: Postgres, 1996: PostgreSQL2017
Current release14.1, November 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSDOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageJava, ScalaCC
Server operating systemshostedLinux
macOS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes: int, bigint, decimal, stringyesyes infoNumeric data
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoall fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infostandard with numerous extensionsno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Python
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication infoother methods possible by using 3rd party extensionsyes
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)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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-standardsimple rights management via user accounts

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More resources
Google Cloud BigtableNSDbPostgreSQLSiriDB
DB-Engines blog posts

Driving the Future of PostgreSQL Adoption
15 November 2021,  Umair Shahid, Percona (sponsor) 

The Inexorable Rise of PostgreSQL
24 September 2021,  Matt Yonkovit, Percona (sponsor) 

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

show all

Conferences and events

Postgres Build 2021
Free Virtual Event, 30 November 2021 - 1 December 2021 (finished)

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