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DBMS > Amazon CloudSearch vs. Databricks vs. GigaSpaces

System Properties Comparison Amazon CloudSearch vs. Databricks vs. GigaSpaces

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatabricks  Xexclude from comparisonGigaSpaces  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelSearch engineDocument store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.61
Rank#135  Overall
#12  Search engines
Score96.01
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score1.14
Rank#171  Overall
#28  Document stores
#6  Object oriented DBMS
Websiteaws.amazon.com/­cloudsearchwww.databricks.comwww.gigaspaces.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.databricks.comdocs.gigaspaces.com/­latest/­landing.html
DeveloperAmazonDatabricksGigaspaces Technologies
Initial release201220132000
Current release15.5, September 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net
Server operating systemshostedhostedLinux
macOS
Solaris
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyes
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.yesno infoXML can be used for describing objects metadata
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnowith Databricks SQLSQL-99 for query and DML statements
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesPython
R
Scala
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes
Triggersnoyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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 signaturesRole-based access control

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Amazon CloudSearchDatabricksGigaSpaces
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Transition from Amazon CloudSearch to Amazon OpenSearch Service
25 July 2024, AWS Blog

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31 July 2024, The Stack

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24 March 2014, AWS Blog

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26 March 2025, PYMNTS.com

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19 July 2023, CTech

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