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DBMS > Amazon CloudSearch vs. LeanXcale vs. Netezza vs. Transwarp Hippo

System Properties Comparison Amazon CloudSearch vs. LeanXcale vs. Netezza vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonLeanXcale  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesData warehouse and analytics appliance part of IBM PureSystemsCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelSearch engineKey-value store
Relational DBMS
Relational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.05
Rank#386  Overall
#15  Vector DBMS
Websiteaws.amazon.com/­cloudsearchwww.leanxcale.comwww.ibm.com/­products/­netezzawww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.aws.amazon.com/­cloudsearch
DeveloperAmazonLeanXcaleIBM
Initial release2012201520002023
Current release1.0, May 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
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 infoincluded in applianceLinux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and String
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.no
Secondary indexesyes infoall search fields are automatically indexedyesno
SQL infoSupport of SQLnoyes infothrough Apache Derbyyesno
APIs and other access methodsHTTP APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC
Java
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C++
Java
Python
Server-side scripts infoStored proceduresnoyesno
Triggersnonono
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 AWSSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
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.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesUsers with fine-grained authorization conceptRole based access control and fine grained access rights

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More resources
Amazon CloudSearchLeanXcaleNetezza infoAlso called PureData System for Analytics by IBMTranswarp Hippo
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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

Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog
21 October 2014, AWS Blog

AWS, Microsoft and Google should retire these cloud services
2 June 2020, TechTarget

CloudSearch Update – Price Reduction, Hebrew & Japanese Support, Partitioning, CloudTrail | Amazon Web Services
19 November 2014, AWS Blog

AI-Powered Data Discovery with Amazon Kendra and AWS Glue Data Catalog
16 July 2021, Towards Data Science

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IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, IBM

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

Netezza Performance Server
12 August 2020, IBM

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

provided by Google News



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