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DBMS > Amazon SimpleDB vs. Apache Kylin vs. Manticore Search vs. Quasardb

System Properties Comparison Amazon SimpleDB vs. Apache Kylin vs. Manticore Search vs. Quasardb

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Kylin  Xexclude from comparisonManticore Search  Xexclude from comparisonQuasardb  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 distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackMulti-storage database for search, including full-text search.Distributed, high-performance timeseries database
Primary database modelKey-value storeRelational DBMSSearch engineTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­simpledbkylin.apache.orgmanticoresearch.comquasar.ai
Technical documentationdocs.aws.amazon.com/­simpledbkylin.apache.org/­docsmanual.manticoresearch.comdoc.quasar.ai/­master
DeveloperAmazonApache Software Foundation, originally contributed from eBay IncManticore Softwarequasardb
Initial release2007201520172009
Current release3.1.0, July 20206.0, February 20233.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemshostedLinuxFreeBSD
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeyesFixed schemaschema-free
Typing infopredefined data types such as float or datenoyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infointeger and binary
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.noCan index from XMLno
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infofull-text index on all search fieldsyes infowith tags
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)SQL-like query languageSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera librarySource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noCryptographically strong user authentication and audit trail

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More resources
Amazon SimpleDBApache KylinManticore SearchQuasardb
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