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DBMS > Cassandra vs. Google Cloud Firestore vs. Heroic vs. Quasardb

System Properties Comparison Cassandra vs. Google Cloud Firestore vs. Heroic vs. Quasardb

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHeroic  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessCloud 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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDistributed, high-performance timeseries database
Primary database modelWide column storeDocument storeTime Series DBMSTime Series DBMS
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score103.86
Rank#12  Overall
#1  Wide column stores
Score8.96
Rank#48  Overall
#8  Document stores
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitecassandra.apache.orgfirebase.google.com/­products/­firestoregithub.com/­spotify/­heroicquasar.ai
Technical documentationcassandra.apache.org/­doc/­latestfirebase.google.com/­docs/­firestorespotify.github.io/­heroicdoc.quasar.ai/­master
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookGoogleSpotifyquasardb
Initial release2008201720142009
Current release4.1.3, July 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaJavaC++
Server operating systemsBSD
Linux
OS X
Windows
hostedBSD
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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 indexesrestricted infoonly equality queries, not always the best performing solutionyesyes infovia Elasticsearchyes infowith tags
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)nonoSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsnono
Triggersyesyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replicationyesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesUsing Cloud Dataflownowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlAccess rights for users can be defined per objectAccess 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 trail
More information provided by the system vendor
CassandraGoogle Cloud FirestoreHeroicQuasardb
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metricsCassandra is used by 40% of the Fortune 100.
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Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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