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DBMS > Amazon CloudSearch vs. BigchainDB vs. HEAVY.AI vs. Newts

System Properties Comparison Amazon CloudSearch vs. BigchainDB vs. HEAVY.AI vs. Newts

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBigchainDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonNewts  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, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareTime Series DBMS based on Cassandra
Primary database modelSearch engineDocument storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial 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
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchwww.bigchaindb.comgithub.com/­heavyai/­heavydb
www.heavy.ai
opennms.github.io/­newts
Technical documentationdocs.aws.amazon.com/­cloudsearchbigchaindb.readthedocs.io/­en/­latestdocs.heavy.aigithub.com/­OpenNMS/­newts/­wiki
DeveloperAmazonHEAVY.AI, Inc.OpenNMS Group
Initial release2012201620162014
Current release5.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0
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 languagePythonC++ and CUDAJava
Server operating systemshostedLinuxLinuxLinux
OS X
Windows
Data schemeyesschema-freeyesschema-free
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 indexednono
SQL infoSupport of SQLnonoyesno
APIs and other access methodsHTTP APICLI Client
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
HTTP REST
Java API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Java
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding infoRound robinSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factorMulti-source replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.yesno
User concepts infoAccess controlauthentication via encrypted signaturesyesfine grained access rights according to SQL-standardno

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More resources
Amazon CloudSearchBigchainDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Newts
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Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

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