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DBMS > Amazon DocumentDB vs. InfluxDB vs. SQLite vs. TempoIQ vs. TerarkDB

System Properties Comparison Amazon DocumentDB vs. InfluxDB vs. SQLite vs. TempoIQ vs. TerarkDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSQLite  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTerarkDB  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 serviceDBMS for storing time series, events and metricsWidely used embeddable, in-process RDBMSScalable analytics DBMS for sensor data, provided as a service (SaaS)A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument storeTime Series DBMSRelational DBMSTime Series DBMSKey-value store
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.80
Rank#148  Overall
#25  Document stores
Score26.89
Rank#28  Overall
#1  Time Series DBMS
Score118.16
Rank#10  Overall
#7  Relational DBMS
Score0.06
Rank#377  Overall
#57  Key-value stores
Websiteaws.amazon.com/­documentdbwww.influxdata.com/­products/­influxdb-overviewwww.sqlite.orgtempoiq.com (offline)github.com/­bytedance/­terarkdb
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.influxdata.com/­influxdbwww.sqlite.org/­docs.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDwayne Richard HippTempoIQByteDance, originally Terark
Initial release20192013200020122016
Current release2.7.5, January 20243.45.2  (12 March 2024), March 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoPublic Domaincommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCC++
Server operating systemshostedLinux
OS X infothrough Homebrew
server-less
Data schemeschema-freeschema-freeyes infodynamic column typesschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes infonot rigid because of 'dynamic typing' concept.yesno
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.nonononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLnoSQL-like query languageyes infoSQL-92 is not fully supportednono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP API
JSON over UDP
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
HTTP APIC++ API
Java API
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
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C#
Java
JavaScript infoNode.js
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnonononono
Triggersnonoyesyes infoRealtime Alertsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlynonenone
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 onlynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 operationsnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyesyes
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.yes infoDepending on used storage engineyesnoyes
User concepts infoAccess controlAccess rights for users and rolessimple rights management via user accountsnosimple authentication-based access controlno
More information provided by the system vendor
Amazon DocumentDBInfluxDBSQLiteTempoIQ infoformerly TempoDBTerarkDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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More resources
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