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DBMS > Amazon DynamoDB vs. Apache Druid vs. Citus vs. Galaxybase

System Properties Comparison Amazon DynamoDB vs. Apache Druid vs. Citus vs. Galaxybase

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Druid  Xexclude from comparisonCitus  Xexclude from comparisonGalaxybase  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 dataScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLScalable, ACID-compliant native distributed parallel graph platform
Primary database modelDocument store
Key-value store
Relational DBMS
Time Series DBMS
Relational DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score87.42
Rank#15  Overall
#2  Document stores
#2  Key-value stores
Score2.63
Rank#114  Overall
#58  Relational DBMS
#6  Time Series DBMS
Score1.83
Rank#135  Overall
#67  Relational DBMS
Score0.05
Rank#337  Overall
#35  Graph DBMS
Websiteaws.amazon.com/­dynamodbdruid.apache.orgwww.citusdata.comgalaxybase.com
Technical documentationdocs.aws.amazon.com/­dynamodbdruid.apache.org/­docs/­latest/­designdocs.citusdata.com
DeveloperAmazonApache Software Foundation and contributorsChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司
Initial release2012201220102017
Current release24.0.0, September 20228.1, December 2018Nov 20, November 2021
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache license v2Open Source infoAGPL, commercial license also availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC and Java
Server operating systemshostedLinux
OS X
Unix
LinuxLinux
Data schemeschema-freeyes infoschema-less columns are supportedyesStrong typed schema
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL for queryingyes infostandard, with numerous extensionsno
APIs and other access methodsRESTful HTTP APIJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
Python
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined procedures and functions
Triggersyes infoby integration with AWS Lambdanoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesSource-replica replication infoother methods possible by using 3rd party extensions
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
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 regionnoACIDACID
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.nonoyes
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 systemfine grained access rights according to SQL-standardRole-based access control

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More resources
Amazon DynamoDBApache DruidCitusGalaxybase
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