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DBMS > Amazon DocumentDB vs. Google Cloud Datastore vs. TempoIQ vs. Tibero vs. YDB

System Properties Comparison Amazon DocumentDB vs. Google Cloud Datastore vs. TempoIQ vs. Tibero vs. YDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTibero  Xexclude from comparisonYDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformScalable analytics DBMS for sensor data, provided as a service (SaaS)A secure RDBMS, designed for easy portability from OracleA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument storeDocument storeTime Series DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score4.36
Rank#72  Overall
#12  Document stores
Score1.59
Rank#148  Overall
#68  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteaws.amazon.com/­documentdbcloud.google.com/­datastoretempoiq.com (offline)us.tmaxsoft.com/­products/­tiberogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationaws.amazon.com/­documentdb/­resourcescloud.google.com/­datastore/­docstechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmlydb.tech/­en/­docs
DeveloperGoogleTempoIQTmaxSoftYandex
Initial release20192008201220032019
Current release6, April 2015
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and Assembler
Server operating systemshostedhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeschema-freeschema-freeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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.nononoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)noyesSQL-like query language (YQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript infoNode.js
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnousing Google App EnginenoPersistent Stored Procedure (PSM)no
TriggersnoCallbacks using the Google Apps Engineyes infoRealtime Alertsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoby range, hash, list or compositeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication using PaxosMulti-source replication
Source-replica replication
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDACID
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.nonono infoplanned for next versionno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple authentication-based access controlfine grained access rights according to SQL-standard (SQL 92, SQL 99)Access rights defined for Yandex Cloud users

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More resources
Amazon DocumentDBGoogle Cloud DatastoreTempoIQ infoformerly TempoDBTiberoYDB
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