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DBMS > Elasticsearch vs. Fauna vs. Splunk

System Properties Comparison Elasticsearch vs. Fauna vs. Splunk

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFauna  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricFauna (previously named FaunaDB) provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Analytics Platform for Big Data
Primary database modelSearch engineDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Search engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score157.08
Rank#8  Overall
#1  Search engines
Score1.53
Rank#136  Overall
#22  Document stores
#12  Graph DBMS
#67  Relational DBMS
#9  Time Series DBMS
Score90.60
Rank#13  Overall
#2  Search engines
Websitewww.elastic.co/­elasticsearchfauna.comwww.splunk.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.fauna.comdocs.splunk.com/­Documentation/­Splunk
DeveloperElasticFauna, Inc.Splunk Inc.
Initial release201020142003
Current release7.8.0, June 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic Licensecommercialcommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScala
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nonoyes
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languagenono infoSplunk Search Processing Language for search commands
APIs and other access methodsJava API
RESTful HTTP/JSON API
RESTful HTTP APIHTTP REST
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsyes
Triggersyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnono
User concepts infoAccess controlIdentity management, authentication, and access controlAccess rights for users and roles
More information provided by the system vendor
ElasticsearchFaunaSplunk
Specific characteristicsServerless database delivered as an API Web-native security model with attribute...
» more
Competitive advantages100% serverless , no connection pooling bottlenecks, or cold starts unlike legacy...
» more
Typical application scenariosJavascript apps Serverless backends for microservices Cloud-native apps B2B and B2C...
» more
Key customersShiftX
» more
Licensing and pricing modelsUsage-based pricing including a free tier
» 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
ElasticsearchFaunaSplunk
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Recent citations in the news

Amazon’s Elasticsearch fork OpenSearch hits prime time
13 July 2021, VentureBeat

AWS Elasticsearch fork exits beta, but legal battle rages on
14 July 2021, TechRadar

OpenSearch, the AWS-sponsored Elasticsearch fork, reaches 1.0 milestone
13 July 2021, The Register

How to deploy an Elasticsearch cluster on Ubuntu Server 20.04
15 July 2021, TechRepublic

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14 July 2021, Market Research Telecast

provided by Google News

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7 July 2021, ZDNet

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29 July 2021, Illinoisnewstoday.com

With Global Demand Growing, Fauna Launches New Region Groups, Achieves SOC 2 Compliance, and Adds Sales Leader to Further Accelerate Company Momentum
7 July 2021, Business Wire

How a Data API Enables the MeetKai Next-Generation Voice Assistant
23 July 2021, JAXenter

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