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DBMS > Amazon DocumentDB vs. GeoSpock vs. ReductStore vs. TempoIQ

System Properties Comparison Amazon DocumentDB vs. GeoSpock vs. ReductStore vs. TempoIQ

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonReductStore  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSpatial and temporal data processing engine for extreme data scaleDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Scalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelDocument storeRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websiteaws.amazon.com/­documentdbgeospock.comgithub.com/­reductstore
www.reduct.store
tempoiq.com (offline)
Technical documentationaws.amazon.com/­documentdb/­resourceswww.reduct.store/­docs
DeveloperGeoSpockReductStore LLCTempoIQ
Initial release201920232012
Current release2.0, September 20191.9, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBusiness Source License 1.1commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++, Rust
Server operating systemshostedhostedDocker
Linux
macOS
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyestemporal, categorical
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)no
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCHTTP APIHTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
JavaScript (Node.js)
Python
Rust
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnonoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per tablesimple authentication-based access control

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More resources
Amazon DocumentDBGeoSpockReductStoreTempoIQ infoformerly TempoDB
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