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DBMS > Amazon CloudSearch vs. BoltDB vs. DataFS vs. VelocityDB

System Properties Comparison Amazon CloudSearch vs. BoltDB vs. DataFS vs. VelocityDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBoltDB  Xexclude from comparisonDataFS  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn embedded key-value store for Go.All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelSearch engineKey-value storeObject oriented DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websiteaws.amazon.com/­cloudsearchgithub.com/­boltdb/­boltnewdatabase.comvelocitydb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdev.mobiland.com/­Overview.xspvelocitydb.com/­UserGuide
DeveloperAmazonMobiland AGVelocityDB Inc
Initial release2012201320182011
Current release1.1.263, October 20227.x
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercial
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 languageGoC#
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
WindowsAny that supports .NET
Data schemeyesschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexednonoyes
SQL infoSupport of SQLnononono
APIs and other access methodsHTTP API.NET Client API
Proprietary client DLL
WinRT client
.Net
Supported programming languagesGo.Net
C
C#
C++
VB.Net
.Net
Server-side scripts infoStored proceduresnonono
Triggersnonono, except callback-events from server when changes happenedCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneProprietary Sharding systemSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes
User concepts infoAccess controlauthentication via encrypted signaturesnoWindows-ProfileBased on Windows Authentication

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More resources
Amazon CloudSearchBoltDBDataFSVelocityDB
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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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21 October 2014, AWS Blog

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2 June 2020, TechTarget

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19 November 2014, AWS Blog

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