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DBMS > Amazon CloudSearch vs. CrateDB vs. EXASOL vs. Microsoft Azure SQL Database vs. SQL.JS

System Properties Comparison Amazon CloudSearch vs. CrateDB vs. EXASOL vs. Microsoft Azure SQL Database vs. SQL.JS

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCrateDB  Xexclude from comparisonEXASOL  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudDistributed Database based on LuceneHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Database as a Service offering with high compatibility to Microsoft SQL ServerPort of SQLite to JavaScript
Primary database modelSearch engineDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score0.53
Rank#246  Overall
#115  Relational DBMS
Websiteaws.amazon.com/­cloudsearchcratedb.comwww.exasol.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasesql.js.org
Technical documentationdocs.aws.amazon.com/­cloudsearchcratedb.com/­docswww.exasol.com/­resourcesdocs.microsoft.com/­en-us/­azure/­azure-sqlsql.js.org/­documentation/­index.html
DeveloperAmazonCrateExasolMicrosoftAlon Zakai infoenhancements implemented by others
Initial release20122013200020102012
Current release5.8.1, August 2024V12
License infoCommercial or Open SourcecommercialOpen SourcecommercialcommercialOpen Source
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 languageJavaC++JavaScript
Server operating systemshostedAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supporthostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoyes, but no triggers and constraints, and PostgreSQL compatibilityyesyesyes infoSQL-92 is not fully supported
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
ADO.NET
JDBC
ODBC
JavaScript API
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Java
Lua
Python
R
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnouser defined functions (Javascript)user defined functionsTransact SQLno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSConfigurable replication on table/partition-levelyes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlauthentication via encrypted signaturesrights management via user accountsAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Amazon CloudSearchCrateDBEXASOLMicrosoft Azure SQL Database infoformerly SQL AzureSQL.JS
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