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DBMS > Amazon CloudSearch vs. EsgynDB vs. GreptimeDB vs. HEAVY.AI vs. SpatiaLite

System Properties Comparison Amazon CloudSearch vs. EsgynDB vs. GreptimeDB vs. HEAVY.AI vs. SpatiaLite

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareSpatial extension of SQLite
Primary database modelSearch engineRelational DBMSTime Series DBMSRelational DBMSSpatial DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websiteaws.amazon.com/­cloudsearchwww.esgyn.cngreptime.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.greptime.comdocs.heavy.aiwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperAmazonEsgynGreptime Inc.HEAVY.AI, Inc.Alessandro Furieri
Initial release20122015202220162008
Current release5.10, January 20225.0.0, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaRustC++ and CUDAC++
Server operating systemshostedLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linuxserver-less
Data schemeyesyesschema-free, schema definition possibleyesyes
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.nononono
Secondary indexesyes infoall search fields are automatically indexedyesyesnoyes
SQL infoSupport of SQLnoyesyesyesyes
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
gRPC
HTTP API
JDBC
JDBC
ODBC
Thrift
Vega
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Erlang
Go
Java
JavaScript
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoJava Stored ProceduresPythonnono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication between multi datacentersMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.noyesyes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardSimple rights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
Amazon CloudSearchEsgynDBGreptimeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SpatiaLite
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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