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DBMS > Amazon CloudSearch vs. Apache Phoenix vs. Geode vs. Spark SQL

System Properties Comparison Amazon CloudSearch vs. Apache Phoenix vs. Geode vs. Spark SQL

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGeode  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA scale-out RDBMS with evolutionary schema built on Apache HBaseGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelSearch engineRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#140  Overall
#12  Search engines
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score1.99
Rank#133  Overall
#23  Key-value stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­cloudsearchphoenix.apache.orggeode.apache.orgspark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­cloudsearchphoenix.apache.orggeode.apache.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonApache Software FoundationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software Foundation
Initial release2012201420022014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.1, February 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScala
Server operating systemshostedLinux
Unix
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyes infoall search fields are automatically indexedyesnono
SQL infoSupport of SQLnoyesSQL-like query language (OQL)SQL-like DML and DDL statements
APIs and other access methodsHTTP APIJDBCJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno
Triggersnonoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlauthentication via encrypted signaturesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights per client and object definableno

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More resources
Amazon CloudSearchApache PhoenixGeodeSpark SQL
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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Is Amazon CloudSearch superior to do-it-yourself search tools?
24 January 2014, TechTarget

Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services
24 March 2014, AWS Blog

Amazon Takes On Google And Microsoft With CloudSearch
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