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DBMS > Amazon SimpleDB vs. Apache Druid vs. HyperSQL vs. OpenMLDB

System Properties Comparison Amazon SimpleDB vs. Apache Druid vs. HyperSQL vs. OpenMLDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Druid  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Websiteaws.amazon.com/­simpledbdruid.apache.orghsqldb.orgopenmldb.ai
Technical documentationdocs.aws.amazon.com/­simpledbdruid.apache.org/­docs/­latest/­designhsqldb.org/­web/­hsqlDocsFrame.htmlopenmldb.ai/­docs/­zh/­main
DeveloperAmazonApache Software Foundation and contributors4 Paradigm Inc.
Initial release2007201220012020
Current release29.0.1, April 20242.7.2, June 20232024-2 February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infobased on BSD licenseOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, Java, Scala
Server operating systemshostedLinux
OS X
Unix
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
Data schemeschema-freeyes infoschema-less columns are supportedyesFixed schema
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoSQL for queryingyesyes
APIs and other access methodsRESTful HTTP APIJDBC
RESTful HTTP/JSON API
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
SQLAlchemy
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBC
Java
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnonoJava, SQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infomanual/auto, time-basednonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDno
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.noyesyes
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-standardfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBApache DruidHyperSQL infoalso known as HSQLDBOpenMLDB
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