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DBMS > Apache Solr vs. ArangoDB vs. Microsoft Azure Cosmos DB vs. SvectorDB

System Properties Comparison Apache Solr vs. ArangoDB vs. Microsoft Azure Cosmos DB vs. SvectorDB

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Editorial information provided by DB-Engines
NameApache Solr  Xexclude from comparisonArangoDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSvectorDB  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Globally distributed, horizontally scalable, multi-model database serviceServerless cloud-native vector database infoServerless cloud-native vector database
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Search engine
Document store
Graph DBMS
Key-value store
Wide column store
Vector DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score32.79
Rank#23  Overall
#3  Search engines
Score2.85
Rank#88  Overall
#14  Document stores
#4  Graph DBMS
#13  Key-value stores
#9  Search engines
Score22.94
Rank#26  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#2  Wide column stores
Score0.00
Rank#385  Overall
#21  Vector DBMS
Websitesolr.apache.orgarangodb.comazure.microsoft.com/­services/­cosmos-dbsvectordb.com
Technical documentationsolr.apache.org/­resources.htmldocs.arangodb.comlearn.microsoft.com/­azure/­cosmos-dbwww.svectordb.com/­docs
DeveloperApache Software FoundationArangoDB Inc.MicrosoftSvectorDB
Initial release2006201220142023
Current release9.6.1, May 20243.11.5, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; Commercial license (Enterprise) availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
hostedserver-less
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free infoautomatically recognizes schema within a collectionschema-free
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyes infostring, double, boolean, list, hashyes infoJSON typesstring, double, vector
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.yesno
Secondary indexesyes infoAll search fields are automatically indexedyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLSolr Parallel SQL InterfacenoSQL-like query language
APIs and other access methodsJava API
RESTful HTTP/JSON API
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
OpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresJava pluginsJavaScriptJavaScript
Triggersyes infoUser configurable commands triggered on index changesnoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infosince version 2.0Sharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with configurable replication factoryes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno infocan be done with stored procedures in JavaScriptwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDMulti-item ACID transactions with snapshot isolation within a partition
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.yes
User concepts infoAccess controlyesyesAccess rights can be defined down to the item level

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More resources
Apache SolrArangoDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSvectorDB
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