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DBMS > GeoMesa vs. LevelDB vs. Valentina Server vs. Weaviate

System Properties Comparison GeoMesa vs. LevelDB vs. Valentina Server vs. Weaviate

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonLevelDB  Xexclude from comparisonValentina Server  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesObject-relational database and reports serverAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelSpatial DBMSKey-value storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.geomesa.orggithub.com/­google/­leveldbwww.valentina-db.netgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpweaviate.io/­developers/­weaviate
DeveloperCCRi and othersGoogleParadigma SoftwareWeaviate B.V.
Initial release2014201119992019
Current release4.0.5, February 20241.23, February 20215.7.51.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSDcommercialOpen 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 languageScalaC++Go
Server operating systemsIllumos
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyesyes 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.nonono
Secondary indexesyesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoyesGraphQL is used as query language
APIs and other access methodsODBCGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagenofine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
GeoMesaLevelDBValentina ServerWeaviate
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...
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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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More resources
GeoMesaLevelDBValentina ServerWeaviate
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