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DBMS > Coveo vs. Firebase Realtime Database vs. GeoMesa vs. Riak KV

System Properties Comparison Coveo vs. Firebase Realtime Database vs. GeoMesa vs. Riak KV

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGeoMesa  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Distributed, fault tolerant key-value store
Primary database modelSearch engineDocument storeSpatial DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.14
Rank#116  Overall
#11  Search engines
Score13.60
Rank#39  Overall
#6  Document stores
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Websitewww.coveo.comfirebase.google.com/­products/­realtime-databasewww.geomesa.org
Technical documentationdocs.coveo.comfirebase.google.com/­docs/­databasewww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperCoveoGoogle infoacquired by Google 2014CCRi and othersOpenSource, formerly Basho Technologies
Initial release2012201220142009
Current release5.0.1, July 20243.2.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaErlang
Server operating systemshostedhostedLinux
OS X
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesrestricted
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesC#
Java
JavaScript
Python
Java
JavaScript
Objective-C
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noErlang
TriggersyesCallbacks are triggered when data changesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyesdepending on storage layerSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
depending on storage layerEventual Consistency
Foreign keys infoReferential integrityyesnonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesnono
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.depending on storage layer
User concepts infoAccess controlgranular access controls, API key management, content filtersyes, based on authentication and database rulesyes infodepending on the DBMS used for storageyes, using Riak Security

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More resources
CoveoFirebase Realtime DatabaseGeoMesaRiak KV
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