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DBMS > Amazon CloudSearch vs. Druid vs. MemSQL

System Properties Comparison Amazon CloudSearch vs. Druid vs. MemSQL

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDruid  Xexclude from comparisonMemSQL  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudOpen-source analytics data store designed for OLAP queries on timeseries dataMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage
Primary database modelSearch engineRelational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.54
Rank#110  Overall
#10  Search engines
Score2.17
Rank#118  Overall
#59  Relational DBMS
#7  Time Series DBMS
Score5.50
Rank#64  Overall
#35  Relational DBMS
Websiteaws.amazon.com/­cloudsearchdruid.apache.orgwww.memsql.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdruid.apache.org/­docs/­latest/­designdocs.memsql.com
DeveloperAmazonMetamarkets Group and contributorsMemSQL Inc.
Initial release201220122013
Current release7.1.4, July 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MemSQL Helios: The world's fastest, most capable cloud database for operational analytics, machine learning, & AI. Available instantly with multi-cloud and hybrid-cloud capabilities.
Implementation languageJavaC++
Server operating systemshostedLinux
OS X
Unix
Linux info64 bit version required
Data schemeyesyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesyesyes
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 search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL support via Apache Calcite adapteryes, but no triggers and foreign keys
APIs and other access methodsHTTP APIJSON over HTTPJDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes, via HDFS, S3 or other storage enginesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency only within each node
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoOnly isolation level: READ COMMITED
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlauthentication via encrypted signaturesno infoavailable via extensionsfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchDruidMemSQL
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