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DBMS > Amazon CloudSearch vs. EsgynDB vs. etcd

System Properties Comparison Amazon CloudSearch vs. EsgynDB vs. etcd

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonetcd  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed reliable key-value store
Primary database modelSearch engineRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.08
Rank#133  Overall
#12  Search engines
Score0.26
Rank#311  Overall
#141  Relational DBMS
Score7.66
Rank#55  Overall
#6  Key-value stores
Websiteaws.amazon.com/­cloudsearchwww.esgyn.cnetcd.io
github.com/­etcd-io/­etcd
Technical documentationdocs.aws.amazon.com/­cloudsearchetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
DeveloperAmazonEsgyn
Initial release20122015
Current release3.4, August 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaGo
Server operating systemshostedLinuxFreeBSD
Linux
Windows infoexperimental
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexedyesno
SQL infoSupport of SQLnoyesno
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
gRPC
JSON over HTTP
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Server-side scripts infoStored proceduresnoJava Stored Proceduresno
Triggersnonoyes, watching key changes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication between multi datacentersUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardno

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More resources
Amazon CloudSearchEsgynDBetcd
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
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Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services
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