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DBMS > Amazon CloudSearch vs. Cloudflare Workers KV vs. GridGain vs. OrigoDB vs. Teradata Aster

System Properties Comparison Amazon CloudSearch vs. Cloudflare Workers KV vs. GridGain vs. OrigoDB vs. Teradata Aster

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGridGain  Xexclude from comparisonOrigoDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.GridGain is an in-memory computing platform, built on Apache IgniteA fully ACID in-memory object graph databasePlatform for big data analytics on multistructured data sources and types
Primary database modelSearch engineKey-value storeKey-value store
Relational DBMS
Document store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.32
Rank#283  Overall
#40  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteaws.amazon.com/­cloudsearchwww.cloudflare.com/­developer-platform/­workers-kvwww.gridgain.comorigodb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdevelopers.cloudflare.com/­kv/­apiwww.gridgain.com/­docs/­index.htmlorigodb.com/­docs
DeveloperAmazonCloudflareGridGain Systems, Inc.Robert Friberg et alTeradata
Initial release2012201820072009 infounder the name LiveDB2005
Current releaseGridGain 8.5.1
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC#
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
Linux
Windows
Linux
Data schemeyesschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesnoyesUser defined using .NET types and collectionsyes
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.noyesno infocan be achieved using .NETyes infoin Aster File Store
Secondary indexesyes infoall search fields are automatically indexednoyesyesyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsHTTP APIHTTP REST
Proprietary protocol
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.NetC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)yesR packages
Triggersnonoyes (cache interceptors and events)yes infoDomain Eventsno
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 synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesyes (replicated cache)Source-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlauthentication via encrypted signaturesSecurity Hooks for custom implementationsRole based authorizationfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchCloudflare Workers KVGridGainOrigoDBTeradata Aster
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