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DBMS > Amazon CloudSearch vs. Apache IoTDB vs. Elasticsearch vs. ITTIA vs. OrigoDB

System Properties Comparison Amazon CloudSearch vs. Apache IoTDB vs. Elasticsearch vs. ITTIA vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache IoTDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonITTIA  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA 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 metricEdge Time Series DBMS with Real-Time Stream ProcessingA fully ACID in-memory object graph database
Primary database modelSearch engineTime Series DBMSSearch engineTime Series DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteaws.amazon.com/­cloudsearchiotdb.apache.orgwww.elastic.co/­elasticsearchwww.ittia.comorigodb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlorigodb.com/­docs
DeveloperAmazonApache Software FoundationElasticITTIA L.L.C.Robert Friberg et al
Initial release20122018201020072009 infounder the name LiveDB
Current release1.1.0, April 20238.6, January 20238.7
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoElastic LicensecommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++C#
Server operating systemshostedAll OS with a Java VM (>= 1.8)All OS with a Java VMLinux
Windows
Linux
Windows
Data schemeyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentFixed schemayes
Typing infopredefined data types such as float or dateyesyesyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/IntervalUser defined using .NET types and collections
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.nononono infocan be achieved using .NET
Secondary indexesyes infoall search fields are automatically indexedyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageyesno
APIs and other access methodsHTTP APIJDBC
Native API
Java API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
WebSocket
.NET Client API
HTTP API
LINQ
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresnoyesyesyesyes
Triggersnoyesyes infoby using the 'percolation' featurenoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and SparkES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynononoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyesyes
User concepts infoAccess controlauthentication via encrypted signaturesyesDatabase file passwordsRole based authorization

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More resources
Amazon CloudSearchApache IoTDBElasticsearchITTIAOrigoDB
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