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DBMS > Amazon DynamoDB vs. Apache Druid vs. InfluxDB vs. Kinetica

System Properties Comparison Amazon DynamoDB vs. Apache Druid vs. InfluxDB vs. Kinetica

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Druid  Xexclude from comparisonInfluxDB  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDBMS for storing time series, events and metricsFully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Key-value store
Relational DBMS
Time Series DBMS
Time Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.72
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score3.33
Rank#99  Overall
#51  Relational DBMS
#7  Time Series DBMS
Score26.89
Rank#28  Overall
#1  Time Series DBMS
Score0.74
Rank#229  Overall
#105  Relational DBMS
Websiteaws.amazon.com/­dynamodbdruid.apache.orgwww.influxdata.com/­products/­influxdb-overviewwww.kinetica.com
Technical documentationdocs.aws.amazon.com/­dynamodbdruid.apache.org/­docs/­latest/­designdocs.influxdata.com/­influxdbdocs.kinetica.com
DeveloperAmazonApache Software Foundation and contributorsKinetica
Initial release2012201220132012
Current release29.0.0, February 20242.7.5, January 20247.1, August 2021
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache license v2Open Source infoMIT-License; commercial enterprise version availablecommercial
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 languageJavaGoC, C++
Server operating systemshostedLinux
OS X
Unix
Linux
OS X infothrough Homebrew
Linux
Data schemeschema-freeyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes
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 indexesyesyesnoyes
SQL infoSupport of SQLnoSQL for queryingSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIJDBC
RESTful HTTP/JSON API
HTTP API
JSON over UDP
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononouser defined functions
Triggersyes infoby integration with AWS Lambdanonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesselectable replication factor infoin enterprise version onlySource-replica replication
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 systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnonono
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.noyes infoDepending on used storage engineyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemsimple rights management via user accountsAccess rights for users and roles on table level
More information provided by the system vendor
Amazon DynamoDBApache DruidInfluxDBKinetica
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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