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DBMS > Amazon CloudSearch vs. BoltDB vs. CockroachDB vs. LokiJS

System Properties Comparison Amazon CloudSearch vs. BoltDB vs. CockroachDB vs. LokiJS

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBoltDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonLokiJS  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn embedded key-value store for Go.CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.In-memory JavaScript DBMS
Primary database modelSearch engineKey-value storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.74
Rank#220  Overall
#31  Key-value stores
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Websiteaws.amazon.com/­cloudsearchgithub.com/­boltdb/­boltwww.cockroachlabs.comgithub.com/­techfort/­LokiJS
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.cockroachlabs.com/­docstechfort.github.io/­LokiJS
DeveloperAmazonCockroach Labs
Initial release2012201320152014
Current release23.1.1, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0, commercial license availableOpen 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 languageGoGoJavaScript
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freedynamic schemaschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nonono
Secondary indexesyes infoall search fields are automatically indexednoyesyes infovia views
SQL infoSupport of SQLnonoyes, wire compatible with PostgreSQLno
APIs and other access methodsHTTP APIJDBCJavaScript API
Supported programming languagesGoC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
JavaScript
Server-side scripts infoStored proceduresnononoView functions in JavaScript
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonehorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneMulti-source replication using RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistencynone
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlauthentication via encrypted signaturesnoRole-based access controlno

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More resources
Amazon CloudSearchBoltDBCockroachDBLokiJS
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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

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