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DBMS > Amazon CloudSearch vs. EsgynDB vs. GeoSpock vs. HEAVY.AI vs. PieCloudDB

System Properties Comparison Amazon CloudSearch vs. EsgynDB vs. GeoSpock vs. HEAVY.AI vs. PieCloudDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonPieCloudDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpatial and temporal data processing engine for extreme data scaleA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA cloud-native analytic database platform with new technologoy for elastic MPP
Primary database modelSearch engineRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.25
Rank#304  Overall
#138  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.esgyn.cngeospock.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.openpie.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.heavy.ai
DeveloperAmazonEsgynGeoSpockHEAVY.AI, Inc.OpenPie
Initial release201220152016
Current release2.0, September 20195.10, January 20222.1, January 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJava, JavascriptC++ and CUDA
Server operating systemshostedLinuxhostedLinuxhosted
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexedyestemporal, categoricalnoyes
SQL infoSupport of SQLnoyesANSI SQL for query only (using Presto)yesyes
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
JDBCJDBC
ODBC
Thrift
Vega
CLI Client
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetAll languages supporting JDBC/ODBC/Thrift
Python
Java
PL/SQL
Python
R
Server-side scripts infoStored proceduresnoJava Stored Proceduresnonouser defined functions
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingAutomatic shardingSharding infoRound robinyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication between multi datacentersMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 signaturesfine grained access rights according to SQL-standardAccess rights for users can be defined per tablefine grained access rights according to SQL-standardUser Roles and pluggable authentication with full SQL Standard
More information provided by the system vendor
Amazon CloudSearchEsgynDBGeoSpockHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022PieCloudDB
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon CloudSearchEsgynDBGeoSpockHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022PieCloudDB
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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

CloudSearch Update – Price Reduction, Hebrew & Japanese Support, Partitioning, CloudTrail | Amazon Web Services
19 November 2014, AWS Blog

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2 October 2020, EU-Startups

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HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
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