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DBMS > Amazon DocumentDB vs. InfluxDB vs. TerarkDB vs. YugaByte DB

System Properties Comparison Amazon DocumentDB vs. InfluxDB vs. TerarkDB vs. YugaByte DB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonYugaByte DB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDBMS for storing time series, events and metricsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBHigh-performance distributed SQL database for global, internet-scale applications
Primary database modelDocument storeTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#182  Overall
#26  Document stores
Score19.93
Rank#33  Overall
#1  Time Series DBMS
Score0.06
Rank#315  Overall
#54  Key-value stores
Score0.73
Rank#176  Overall
#87  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.influxdata.com/­time-series-platform/­influxdbgithub.com/­Terark/­terarkdbwww.yugabyte.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.influxdata.com/­influxdbgithub.com/­Terark/­terarkdb/­wikidocs.yugabyte.com
github.com/­YugaByte/­yugabyte-db
DeveloperTerarkYugaByte
Initial release2019201320162017
Current release1.7.8, August 20191.2, March 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial inforestricted open source version availableOpen Source infoApache 2.0, enterprise edition available
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.
Implementation languageGoC++C and C++
Server operating systemshostedLinux
OS X infothrough Homebrew
Linux
OS X
Data schemeschema-freeschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesNumeric data and Stringsnoyes
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 indexesyesnonoyes
SQL infoSupport of SQLnoSQL-like query languagenoyes, PostgreSQL compatible
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP API
JSON over UDP
C++ API
Java API
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infoin enterprise version onlynoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesno
User concepts infoAccess controlAccess rights for users and rolessimple rights management via user accountsnoyes
More information provided by the system vendor
Amazon DocumentDBInfluxDBTerarkDBYugaByte DB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DocumentDBInfluxDBTerarkDBYugaByte DB
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Recent citations in the news

Alibaba Cloud to offer MongoDB managed service
30 October 2019, ZDNet

AWS Announces Amazon DocumentDB (with MongoDB Compatibility)
9 January 2019, Business Wire

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