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DBMS > BoltDB vs. CouchDB vs. Elasticsearch vs. SwayDB vs. Teradata Aster

System Properties Comparison BoltDB vs. CouchDB vs. Elasticsearch vs. SwayDB vs. Teradata Aster

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonElasticsearch  Xexclude from comparisonSwayDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAn embedded key-value store for Go.A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A 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 metricAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storagePlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeDocument storeSearch engineKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score9.30
Rank#45  Overall
#7  Document stores
Score135.35
Rank#7  Overall
#1  Search engines
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitegithub.com/­boltdb/­boltcouchdb.apache.orgwww.elastic.co/­elasticsearchswaydb.simer.au
Technical documentationdocs.couchdb.org/­en/­stablewww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerElasticSimer PlahaTeradata
Initial release20132005201020182005
Current release3.3.3, December 20238.6, January 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache version 2Open Source infoElastic LicenseOpen Source infoGNU Affero GPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoErlangJavaScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Android
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Data schemeschema-freeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenonoyesnoyes
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.nonononoyes infoin Aster File Store
Secondary indexesnoyes infovia viewsyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLnonoSQL-like query languagenoyes
APIs and other access methodsRESTful HTTP/JSON APIJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGoC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
Kotlin
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoView functions in JavaScriptyesnoR packages
Triggersnoyesyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0ShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yesnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesES-Hadoop Connectornoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoatomic operations within a single document possiblenoAtomic execution of operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
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.nonoMemcached and Redis integrationyesno
User concepts infoAccess controlnoAccess rights for users can be defined per databasenofine grained access rights according to SQL-standard

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More resources
BoltDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"ElasticsearchSwayDBTeradata Aster
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