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DBMS > Amazon CloudSearch vs. Apache Impala vs. EXASOL vs. Ultipa

System Properties Comparison Amazon CloudSearch vs. Apache Impala vs. EXASOL vs. Ultipa

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache Impala  Xexclude from comparisonEXASOL  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAnalytic DBMS for HadoopHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.High performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelSearch engineRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score0.11
Rank#338  Overall
#32  Graph DBMS
Websiteaws.amazon.com/­cloudsearchimpala.apache.orgwww.exasol.comwww.ultipa.com
Technical documentationdocs.aws.amazon.com/­cloudsearchimpala.apache.org/­impala-docs.htmlwww.exasol.com/­resourceswww.ultipa.com/­document
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaExasolUltipa
Initial release2012201320002019
Current release4.1.0, June 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercial
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 languageC++
Server operating systemshostedLinux
Data schemeyesyesyes
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-like DML and DDL statementsyes
APIs and other access methodsHTTP APIJDBC
ODBC
.Net
JDBC
ODBC
WebSocket
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCJava
Lua
Python
R
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceuser defined functions
Triggersnonoyes
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 AWSselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes infoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 signaturesAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon CloudSearchApache ImpalaEXASOLUltipa
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