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DBMS > Amazon DocumentDB vs. HEAVY.AI vs. LokiJS vs. Solr vs. Splunk

System Properties Comparison Amazon DocumentDB vs. HEAVY.AI vs. LokiJS vs. Solr vs. Splunk

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLokiJS  Xexclude from comparisonSolr  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareIn-memory JavaScript DBMSA widely used distributed, scalable search engine based on Apache LuceneAnalytics Platform for Big Data
Primary database modelDocument storeRelational DBMSDocument storeSearch engineSearch engine
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Score89.10
Rank#14  Overall
#2  Search engines
Websiteaws.amazon.com/­documentdbgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­techfort/­LokiJSsolr.apache.orgwww.splunk.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.heavy.aitechfort.github.io/­LokiJSsolr.apache.org/­resources.htmldocs.splunk.com/­Documentation/­Splunk
DeveloperHEAVY.AI, Inc.Apache Software FoundationSplunk Inc.
Initial release20192016201420062003
Current release5.10, January 20229.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen SourceOpen Source infoApache Version 2commercial infoLimited free edition and free developer edition 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++ and CUDAJavaScriptJava
Server operating systemshostedLinuxserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesnoyes infosupports customizable data types and automatic typingyes
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.nononoyesyes
Secondary indexesyesnoyes infovia viewsyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoyesnoSolr Parallel SQL Interfaceno infoSplunk Search Processing Language for search commands
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
Thrift
Vega
JavaScript APIJava API
RESTful HTTP/JSON API
HTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC/Thrift
Python
JavaScript.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoView functions in JavaScriptJava pluginsyes
Triggersnonoyesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replicationnoneyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnono infoatomic operations within a single collection possibleoptimistic lockingno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnoyesAccess rights for users and roles

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