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DBMS > Amazon CloudSearch vs. BigchainDB vs. OmniSci

System Properties Comparison Amazon CloudSearch vs. BigchainDB vs. OmniSci

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBigchainDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  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 assetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelSearch engineDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.67
Rank#102  Overall
#9  Search engines
Score0.87
Rank#173  Overall
#28  Document stores
Score1.98
Rank#122  Overall
#59  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.bigchaindb.comwww.omnisci.com
Technical documentationdocs.aws.amazon.com/­cloudsearchbigchaindb.readthedocs.io/­en/­latestdocs.omnisci.com/­latest
DeveloperAmazonMapD Technologies, Inc.
Initial release201220162016
Current releaseV4
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++ and CUDA
Server operating systemshostedLinuxLinux
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 indexedno
SQL infoSupport of SQLnonoyes
APIs and other access methodsHTTP APICLI Client
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factorMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlauthentication via encrypted signaturesyesfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchBigchainDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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