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DBMS > Amazon SimpleDB vs. Apache Druid vs. H2GIS vs. Microsoft Azure Synapse Analytics

System Properties Comparison Amazon SimpleDB vs. Apache Druid vs. H2GIS vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Druid  Xexclude from comparisonH2GIS  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 dataSpatial extension of H2Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Spatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­simpledbdruid.apache.orgwww.h2gis.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.aws.amazon.com/­simpledbdruid.apache.org/­docs/­latest/­designwww.h2gis.org/­docs/­homedocs.microsoft.com/­azure/­synapse-analytics
DeveloperAmazonApache Software Foundation and contributorsCNRSMicrosoft
Initial release2007201220132016
Current release29.0.1, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoLGPL 3.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemshostedLinux
OS X
Unix
hosted
Data schemeschema-freeyes infoschema-less columns are supportedyesyes
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
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaC#
Java
PHP
Server-side scripts infoStored proceduresnonoyes infobased on H2Transact SQL
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infomanual/auto, time-basednoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesyes infobased on H2yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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
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 systemyes infobased on H2yes

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More resources
Amazon SimpleDBApache DruidH2GISMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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