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DBMS > Amazon DocumentDB vs. GreptimeDB vs. Oracle NoSQL vs. Yanza

System Properties Comparison Amazon DocumentDB vs. GreptimeDB vs. Oracle NoSQL vs. Yanza

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesTime Series DBMS for IoT Applications
Primary database modelDocument storeTime Series DBMSDocument store
Key-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Websiteaws.amazon.com/­documentdbgreptime.comwww.oracle.com/­database/­nosql/­technologies/­nosqlyanza.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.greptime.comdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperGreptime Inc.OracleYanza
Initial release2019202220112015
Current release23.3, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJava
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-free, schema definition possibleSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.schema-free
Typing infopredefined data types such as float or dateyesyesoptionalno
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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC
HTTP API
JDBC
RESTful HTTP APIHTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Erlang
Go
Java
JavaScript
C
C#
Go
Java
JavaScript (Node.js)
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoPythonnono
Triggersnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infooff heap cache
User concepts infoAccess controlAccess rights for users and rolesSimple rights management via user accountsAccess rights for users and rolesno
More information provided by the system vendor
Amazon DocumentDBGreptimeDBOracle NoSQLYanza
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
Amazon DocumentDBGreptimeDBOracle NoSQLYanza
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