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DBMS > Fauna vs. GeoMesa vs. H2 vs. Pinecone

System Properties Comparison Fauna vs. GeoMesa vs. H2 vs. Pinecone

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Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonH2  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A managed, cloud-native vector database
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Spatial DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitefauna.comwww.geomesa.orgwww.h2database.comwww.pinecone.io
Technical documentationdocs.fauna.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.h2database.com/­html/­main.htmldocs.pinecone.io/­docs/­overview
DeveloperFauna, Inc.CCRi and othersThomas MuellerPinecone Systems, Inc
Initial release2014201420052019
Current release4.0.5, February 20242.2.220, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaScalaJava
Server operating systemshostedAll OS with a Java VMhosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesString, Number, Boolean
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
JavaPython
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Procedures and User-Defined Functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingdepending on storage layernone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationdepending on storage layerWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.nodepending on storage layeryesno
User concepts infoAccess controlIdentity management, authentication, and access controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standard

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More resources
Fauna infopreviously named FaunaDBGeoMesaH2Pinecone
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Vector databases
2 June 2023, Matthias Gelbmann

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