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DBMS > Amazon CloudSearch vs. BigchainDB vs. Heroic vs. TigerGraph

System Properties Comparison Amazon CloudSearch vs. BigchainDB vs. Heroic vs. TigerGraph

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBigchainDB  Xexclude from comparisonHeroic  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelSearch engineDocument storeTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.79
Rank#212  Overall
#36  Document stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteaws.amazon.com/­cloudsearchwww.bigchaindb.comgithub.com/­spotify/­heroicwww.tigergraph.com
Technical documentationdocs.aws.amazon.com/­cloudsearchbigchaindb.readthedocs.io/­en/­latestspotify.github.io/­heroicdocs.tigergraph.com
DeveloperAmazonSpotify
Initial release2012201620142017
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaC++
Server operating systemshostedLinuxLinux
Data schemeyesschema-freeschema-freeyes
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 indexedyes infovia Elasticsearch
SQL infoSupport of SQLnononoSQL-like query language (GSQL)
APIs and other access methodsHTTP APICLI Client
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnonoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes
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 signaturesyesRole-based access control

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More resources
Amazon CloudSearchBigchainDBHeroicTigerGraph
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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

Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog
21 October 2014, AWS Blog

Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

AWS, Microsoft and Google should retire these cloud services
2 June 2020, TechTarget

Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services
24 March 2014, AWS Blog

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