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DBMS > Amazon DocumentDB vs. Google Cloud Bigtable vs. PostgreSQL vs. SiriDB vs. SiteWhere

System Properties Comparison Amazon DocumentDB vs. Google Cloud Bigtable vs. PostgreSQL vs. SiriDB vs. SiteWhere

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSiriDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen Source Time Series DBMSM2M integration platform for persisting/querying time series data
Primary database modelDocument storeKey-value store
Wide column store
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websiteaws.amazon.com/­documentdbcloud.google.com/­bigtablewww.postgresql.orgsiridb.comgithub.com/­sitewhere/­sitewhere
Technical documentationaws.amazon.com/­documentdb/­resourcescloud.google.com/­bigtable/­docswww.postgresql.org/­docsdocs.siridb.comsitewhere1.sitewhere.io/­index.html
DeveloperGooglePostgreSQL Global Development Group infowww.postgresql.org/­developerCesbitSiteWhere
Initial release201920151989 info1989: Postgres, 1996: PostgreSQL20172010
Current release16.3, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoMIT LicenseOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCJava
Server operating systemshostedhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyesyespredefined scheme
Typing infopredefined data types such as float or dateyesnoyesyes infoNumeric datayes
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.nono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLnonoyes infostandard with numerous extensionsnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIHTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingpartitioning by range, list and (since PostgreSQL 11) by hashShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication infoother methods possible by using 3rd party extensionsyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic single-row operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users and rolesAccess 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 accountsUsers with fine-grained authorization concept

More information provided by the system vendor

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More resources
Amazon DocumentDBGoogle Cloud BigtablePostgreSQLSiriDBSiteWhere
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