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DBMS > LevelDB vs. Linter vs. Solr vs. Weaviate

System Properties Comparison LevelDB vs. Linter vs. Solr vs. Weaviate

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonLinter  Xexclude from comparisonSolr  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDBMS for high security requirementsA widely used distributed, scalable search engine based on Apache LuceneAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value storeRelational DBMSSearch engineVector DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitegithub.com/­google/­leveldblinter.rusolr.apache.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdsolr.apache.org/­resources.htmlweaviate.io/­developers/­weaviate
DeveloperGooglerelex.ruApache Software FoundationWeaviate B.V.
Initial release2011199020062019
Current release1.23, February 20219.6.1, May 20241.19, May 2023
License infoCommercial or Open SourceOpen Source infoBSDcommercialOpen Source infoApache Version 2Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++JavaGo
Server operating systemsIllumos
Linux
OS X
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyesyes infosupports customizable data types and automatic typingyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.nonoyesno
Secondary indexesnoyesyes infoAll search fields are automatically indexedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesSolr Parallel SQL InterfaceGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Java API
RESTful HTTP/JSON API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLJava pluginsno
Triggersnoyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
LevelDBLinterSolrWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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LevelDBLinterSolrWeaviate
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