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DBMS > BoltDB vs. Elasticsearch vs. IRONdb vs. KeyDB vs. Netezza

System Properties Comparison BoltDB vs. Elasticsearch vs. IRONdb vs. KeyDB vs. Netezza

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonIRONdb  Xexclude from comparisonKeyDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embedded key-value store for Go.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 metricA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsData warehouse and analytics appliance part of IBM PureSystems
Primary database modelKey-value storeSearch engineTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument 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
Score135.35
Rank#7  Overall
#1  Search engines
Score0.71
Rank#226  Overall
#33  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.elastic.co/­elasticsearchwww.circonus.com/solutions/time-series-database/github.com/­Snapchat/­KeyDB
keydb.dev
www.ibm.com/­products/­netezza
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.circonus.com/irondb/category/getting-starteddocs.keydb.dev
DeveloperElasticCirconus LLC.EQ Alpha Technology Ltd.IBM
Initial release20132010201720192000
Current release8.6, January 2023V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoElastic LicensecommercialOpen Source infoBSD-3commercial
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 languageGoJavaC and C++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinuxLinuxLinux infoincluded in appliance
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infotext, numeric, histogramspartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.nononono
Secondary indexesnoyes infoAll search fields are automatically indexednoyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)noyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
OLE DB
Supported programming languagesGo.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoyesyes, in LuaLuayes
Triggersnoyes infoby using the 'percolation' featurenonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic, metric affinity per nodeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesconfigurable replication factor, datacenter awareMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate consistency per node, eventual consistency across nodesEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationnoyes
User concepts infoAccess controlnonosimple password-based access control and ACLUsers with fine-grained authorization concept

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More resources
BoltDBElasticsearchIRONdbKeyDBNetezza infoAlso called PureData System for Analytics by IBM
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