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DBMS > Amazon CloudSearch vs. EXASOL vs. Fujitsu Enterprise Postgres vs. Pinecone

System Properties Comparison Amazon CloudSearch vs. EXASOL vs. Fujitsu Enterprise Postgres vs. Pinecone

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEXASOL  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A managed, cloud-native vector database
Primary database modelSearch engineRelational DBMSRelational DBMSVector 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
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websiteaws.amazon.com/­cloudsearchwww.exasol.comwww.postgresql.fastware.comwww.pinecone.io
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.exasol.com/­resourceswww.postgresql.fastware.com/­product-manualsdocs.pinecone.io/­docs/­overview
DeveloperAmazonExasolPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyPinecone Systems, Inc
Initial release201220002019
Current releaseFujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedLinux
Windows
hosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesString, Number, Boolean
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.nono
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsHTTP API.Net
JDBC
ODBC
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingpartitioning by range, list and by hash
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 methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesno
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchEXASOLFujitsu Enterprise PostgresPinecone
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