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DBMS > Amazon CloudSearch vs. Apache Druid vs. Apache Impala vs. GridDB vs. Oracle Rdb

System Properties Comparison Amazon CloudSearch vs. Apache Druid vs. Apache Impala vs. GridDB vs. Oracle Rdb

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache Druid  Xexclude from comparisonApache Impala  Xexclude from comparisonGridDB  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic DBMS for HadoopScalable in-memory time series database optimized for IoT and Big Data
Primary database modelSearch engineRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Websiteaws.amazon.com/­cloudsearchdruid.apache.orgimpala.apache.orggriddb.netwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdocs.aws.amazon.com/­cloudsearchdruid.apache.org/­docs/­latest/­designimpala.apache.org/­impala-docs.htmldocs.griddb.netwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperAmazonApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by ClouderaToshiba CorporationOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20122012201320131984
Current release29.0.1, April 20244.1.0, June 20225.1, August 20227.4.1.1, 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
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 languageJavaC++C++
Server operating systemshostedLinux
OS X
Unix
LinuxLinuxHP Open VMS
Data schemeyesyes infoschema-less columns are supportedyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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
Secondary indexesyes infoall search fields are automatically indexedyesyesyesyes
SQL infoSupport of SQLnoSQL for queryingSQL-like DML and DDL statementsSQL92, SQL-like TQL (Toshiba Query Language)yes
APIs and other access methodsHTTP APIJDBC
RESTful HTTP/JSON API
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBCC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceno
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes, via HDFS, S3 or other storage enginesselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID at container levelyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlauthentication via encrypted signaturesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per database
More information provided by the system vendor
Amazon CloudSearchApache DruidApache ImpalaGridDBOracle Rdb
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Amazon CloudSearchApache DruidApache ImpalaGridDBOracle Rdb
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