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

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

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Editorial information provided by DB-Engines
NameApache Solr  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSQLite  Xexclude from comparisonSvectorDB  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneGlobally distributed, horizontally scalable, multi-model database serviceWidely used embeddable, in-process RDBMSServerless cloud-native vector database infoServerless cloud-native vector database
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSVector 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
Score22.94
Rank#26  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#2  Wide column stores
Score117.77
Rank#10  Overall
#7  Relational DBMS
Score0.00
Rank#385  Overall
#21  Vector DBMS
Websitesolr.apache.orgazure.microsoft.com/­services/­cosmos-dbwww.sqlite.orgsvectordb.com
Technical documentationsolr.apache.org/­resources.htmllearn.microsoft.com/­azure/­cosmos-dbwww.sqlite.org/­docs.htmlwww.svectordb.com/­docs
DeveloperApache Software FoundationMicrosoftDwayne Richard HippSvectorDB
Initial release2006201420002023
Current release9.6.1, May 20243.46.1  (13 August 2024), August 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoPublic Domaincommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
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)hostedserver-lessserver-less
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyes infoJSON typesyes infonot rigid because of 'dynamic typing' concept.string, 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.yesnono
Secondary indexesyes infoAll search fields are automatically indexedyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLSolr Parallel SQL InterfaceSQL-like query languageyes infoSQL-92 is not fully supported
APIs and other access methodsJava API
RESTful HTTP/JSON API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
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
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresJava pluginsJavaScriptno
Triggersyes infoUser configurable commands triggered on index changesJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducewith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyes
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.yesyes
User concepts infoAccess controlyesAccess rights can be defined down to the item levelno

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More resources
Apache SolrMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSQLiteSvectorDB
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