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DBMS > Amazon CloudSearch vs. Badger vs. Datomic

System Properties Comparison Amazon CloudSearch vs. Badger vs. Datomic

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBadger  Xexclude from comparisonDatomic  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability
Primary database modelSearch engineKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Websiteaws.amazon.com/­cloudsearchgithub.com/­dgraph-io/­badgerwww.datomic.com
Technical documentationdocs.aws.amazon.com/­cloudsearchgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.com
DeveloperAmazonDGraph LabsCognitect
Initial release201220172012
Current release1.0.6735, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infolimited edition free
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, Clojure
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexednoyes
SQL infoSupport of SQLnonono
APIs and other access methodsHTTP APIRESTful HTTP API
Supported programming languagesGoClojure
Java
Server-side scripts infoStored proceduresnonoyes infoTransaction Functions
TriggersnonoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonenone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnonenone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and development
User concepts infoAccess controlauthentication via encrypted signaturesnono

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More resources
Amazon CloudSearchBadgerDatomic
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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
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