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DBMS > Apache Pinot vs. Coveo vs. Firebase Realtime Database vs. XTDB

System Properties Comparison Apache Pinot vs. Coveo vs. Firebase Realtime Database vs. XTDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonCoveo  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAI-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.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSSearch engineDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score2.28
Rank#114  Overall
#11  Search engines
Score14.29
Rank#39  Overall
#6  Document stores
Score0.11
Rank#343  Overall
#46  Document stores
Websitepinot.apache.orgwww.coveo.comfirebase.google.com/­products/­realtime-databasegithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.pinot.apache.orgdocs.coveo.comfirebase.google.com/­docs/­databasewww.xtdb.com/­docs
DeveloperApache Software Foundation and contributorsCoveoGoogle infoacquired by Google 2014Juxt Ltd.
Initial release2015201220122019
Current release1.0.0, September 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaClojure
Server operating systemsAll OS with a Java JDK11 or higherhostedhostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like query languagenonolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBCRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP REST
JDBC
Supported programming languagesGo
Java
Python
C#
Java
JavaScript
Python
Java
JavaScript
Objective-C
Clojure
Java
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'no
TriggersyesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
User concepts infoAccess controlgranular access controls, API key management, content filtersyes, based on authentication and database rules

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More resources
Apache PinotCoveoFirebase Realtime DatabaseXTDB infoformerly named Crux
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