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DBMS > Google Cloud Firestore vs. H2 vs. Hazelcast vs. Solr

System Properties Comparison Google Cloud Firestore vs. H2 vs. Hazelcast vs. Solr

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonH2  Xexclude from comparisonHazelcast  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A widely adopted in-memory data gridA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument storeRelational DBMSKey-value storeSearch engine
Secondary database modelsSpatial DBMSDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitefirebase.google.com/­products/­firestorewww.h2database.comhazelcast.comsolr.apache.org
Technical documentationfirebase.google.com/­docs/­firestorewww.h2database.com/­html/­main.htmlhazelcast.org/­imdg/­docssolr.apache.org/­resources.html
DeveloperGoogleThomas MuellerHazelcastApache Software Foundation
Initial release2017200520082006
Current release2.2.220, July 20235.3.6, November 20239.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.nonoyes infothe object must implement a serialization strategyyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesSQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsJava Stored Procedures and User-Defined Functionsyes infoEvent Listeners, Executor ServicesJava plugins
Triggersyes, with Cloud Functionsyesyes infoEventsyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoReplicated Mapyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDone or two-phase-commit; repeatable reads; read commitedoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardRole-based access controlyes

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More resources
Google Cloud FirestoreH2HazelcastSolr
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