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DBMS > Amazon CloudSearch vs. Greenplum vs. LeanXcale vs. OrigoDB

System Properties Comparison Amazon CloudSearch vs. Greenplum vs. LeanXcale vs. OrigoDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGreenplum  Xexclude from comparisonLeanXcale  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA fully ACID in-memory object graph database
Primary database modelSearch engineRelational DBMSKey-value store
Relational DBMS
Document store
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Websiteaws.amazon.com/­cloudsearchgreenplum.orgwww.leanxcale.comorigodb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.greenplum.orgorigodb.com/­docs
DeveloperAmazonPivotal Software Inc.LeanXcaleRobert Friberg et al
Initial release2012200520152009 infounder the name LiveDB
Current release7.0.0, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source
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 systemshostedLinuxLinux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collections
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.yes infosince Version 4.2no infocan be achieved using .NET
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnoyesyes infothrough Apache Derbyno
APIs and other access methodsHTTP APIJDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
.NET Client API
HTTP API
LINQ
Supported programming languagesC
Java
Perl
Python
R
C
Java
Scala
.Net
Server-side scripts infoStored proceduresnoyesyes
Triggersnoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardRole based authorization

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More resources
Amazon CloudSearchGreenplumLeanXcaleOrigoDB
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