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DBMS > Google Cloud Firestore vs. Quasardb vs. Solr vs. TypeDB

System Properties Comparison Google Cloud Firestore vs. Quasardb vs. Solr vs. TypeDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparisonTypeDB infoformerly named Grakn  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.Distributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache LuceneTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument storeTime Series DBMSSearch engineGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.96
Rank#48  Overall
#8  Document stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Score0.81
Rank#217  Overall
#19  Graph DBMS
#99  Relational DBMS
Websitefirebase.google.com/­products/­firestorequasar.aisolr.apache.orgtypedb.com
Technical documentationfirebase.google.com/­docs/­firestoredoc.quasar.ai/­mastersolr.apache.org/­resources.htmltypedb.com/­docs
DeveloperGooglequasardbApache Software FoundationVaticle
Initial release2017200920062016
Current release3.14.1, January 20249.5.0, February 20242.26.3, January 2024
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemshostedBSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes infosupports customizable data types and automatic typingyes
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.nonoyesno
Secondary indexesyesyes infowith tagsyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query languageSolr Parallel SQL Interfaceno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP APIJava API
RESTful HTTP/JSON API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsnoJava pluginsno
Triggersyes, with Cloud Functionsnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication with selectable replication factoryesMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowwith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyesno
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.Cryptographically strong user authentication and audit trailyesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Google Cloud FirestoreQuasardbSolrTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Google Cloud FirestoreQuasardbSolrTypeDB infoformerly named Grakn
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