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DBMS > Amazon DocumentDB vs. CockroachDB vs. Solr vs. Splunk

System Properties Comparison Amazon DocumentDB vs. CockroachDB vs. Solr vs. Splunk

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonSolr  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A widely used distributed, scalable search engine based on Apache LuceneAnalytics Platform for Big Data
Primary database modelDocument storeRelational DBMSSearch engineSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score86.45
Rank#14  Overall
#2  Search engines
Websiteaws.amazon.com/­documentdbwww.cockroachlabs.comsolr.apache.orgwww.splunk.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.cockroachlabs.com/­docssolr.apache.org/­resources.htmldocs.splunk.com/­Documentation/­Splunk
DeveloperCockroach LabsApache Software FoundationSplunk Inc.
Initial release2019201520062003
Current release23.1.1, May 20239.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2commercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava
Server operating systemshostedLinux
macOS
Windows
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-freedynamic schemayes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes 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.nonoyesyes
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLSolr Parallel SQL Interfaceno infoSplunk Search Processing Language for search commands
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCJava API
RESTful HTTP/JSON API
HTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.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 proceduresnonoJava pluginsyes
Triggersnonoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication using RAFTyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDoptimistic 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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlyesAccess rights for users and roles

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More resources
Amazon DocumentDBCockroachDBSolrSplunk
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