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DBMS > Amazon CloudSearch vs. EsgynDB vs. HEAVY.AI vs. SpatiaLite vs. Splice Machine

System Properties Comparison Amazon CloudSearch vs. EsgynDB vs. HEAVY.AI vs. SpatiaLite vs. Splice Machine

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSplice Machine  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 TrafodionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareSpatial extension of SQLiteOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelSearch engineRelational DBMSRelational DBMSSpatial DBMSRelational 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
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.esgyn.cngithub.com/­heavyai/­heavydb
www.heavy.ai
www.gaia-gis.it/­fossil/­libspatialite/­indexsplicemachine.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.heavy.aiwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlsplicemachine.com/­how-it-works
DeveloperAmazonEsgynHEAVY.AI, Inc.Alessandro FurieriSplice Machine
Initial release20122015201620082014
Current release5.10, January 20225.0.0, August 20203.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoAGPL 3.0, commercial license available
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++, JavaC++ and CUDAC++Java
Server operating systemshostedLinuxLinuxserver-lessLinux
OS X
Solaris
Windows
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 indexedyesnoyesyes
SQL infoSupport of SQLnoyesyesyesyes
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
JDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetAll languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresnonoyes infoJava
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding infoRound robinnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication between multi datacentersMulti-source replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.noyesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon CloudSearchEsgynDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SpatiaLiteSplice Machine
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