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DBMS > BoltDB vs. Heroic vs. Microsoft Azure AI Search vs. OrientDB vs. Solr

System Properties Comparison BoltDB vs. Heroic vs. Microsoft Azure AI Search vs. OrientDB vs. Solr

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOrientDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSearch-as-a-service for web and mobile app developmentMulti-model DBMS (Document, Graph, Key/Value)A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeTime Series DBMSSearch engineDocument store
Graph DBMS
Key-value store
Search engine
Secondary database modelsVector DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitegithub.com/­boltdb/­boltgithub.com/­spotify/­heroicazure.microsoft.com/­en-us/­services/­searchorientdb.orgsolr.apache.org
Technical documentationspotify.github.io/­heroiclearn.microsoft.com/­en-us/­azure/­searchwww.orientdb.com/­docs/­last/­index.htmlsolr.apache.org/­resources.html
DeveloperSpotifyMicrosoftOrientDB LTD; CallidusCloud; SAPApache Software Foundation
Initial release20132014201520102006
Current releaseV13.2.29, March 20249.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0commercialOpen Source infoApache version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedAll OS with a Java JDK (>= JDK 6)All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesyesyes infosupports customizable data types and automatic typing
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
Secondary indexesnoyes infovia Elasticsearchyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnononoSQL-like query language, no joinsSolr Parallel SQL Interface
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP APITinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
Supported programming languagesGoC#
Java
JavaScript
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnononoJava, JavascriptJava plugins
TriggersnononoHooksyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infoImplicit feature of the cloud serviceMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocould be achieved with distributed queriesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nononoyes
User concepts infoAccess controlnoyes infousing Azure authenticationAccess rights for users and roles; record level security configurableyes

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More resources
BoltDBHeroicMicrosoft Azure AI SearchOrientDBSolr
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