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DBMS > Amazon SimpleDB vs. Apache Jena - TDB vs. Elasticsearch vs. Microsoft Azure Synapse Analytics vs. Sphinx

System Properties Comparison Amazon SimpleDB vs. Apache Jena - TDB vs. Elasticsearch vs. Microsoft Azure Synapse Analytics vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSphinx  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 ScioreA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeRDF storeSearch engineRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score3.75
Rank#84  Overall
#3  RDF stores
Score135.35
Rank#7  Overall
#1  Search engines
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­simpledbjena.apache.org/­documentation/­tdb/­index.htmlwww.elastic.co/­elasticsearchazure.microsoft.com/­services/­synapse-analyticssphinxsearch.com
Technical documentationdocs.aws.amazon.com/­simpledbjena.apache.org/­documentation/­tdb/­index.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.microsoft.com/­azure/­synapse-analyticssphinxsearch.com/­docs
DeveloperAmazonApache Software Foundation infooriginally developed by HP LabsElasticMicrosoftSphinx Technologies Inc.
Initial release20072000201020162001
Current release4.9.0, July 20238.6, January 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0Open Source infoElastic LicensecommercialOpen Source infoGPL version 2, commercial licence 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 languageJavaJavaC++C++
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyes infoRDF Schemasschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or datenoyesyesyesno
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.nono
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infoAll search fields are automatically indexedyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query languageyesSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Java.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Java
PHP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesyesTransact SQLno
Triggersnoyes infovia event handleryes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardingSharding, horizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACID infoTDB TransactionsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integration
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access control via Jena Securityyesno

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More resources
Amazon SimpleDBApache Jena - TDBElasticsearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSphinx
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