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DBMS > Google Cloud Firestore vs. HyperSQL vs. IBM Db2 Event Store vs. Quasardb

System Properties Comparison Google Cloud Firestore vs. HyperSQL vs. IBM Db2 Event Store vs. Quasardb

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonQuasardb  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.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBDistributed Event Store optimized for Internet of Things use casesDistributed, high-performance timeseries database
Primary database modelDocument storeRelational DBMSEvent Store
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitefirebase.google.com/­products/­firestorehsqldb.orgwww.ibm.com/­products/­db2-event-storequasar.ai
Technical documentationfirebase.google.com/­docs/­firestorehsqldb.org/­web/­hsqlDocsFrame.htmlwww.ibm.com/­docs/­en/­db2-event-storedoc.quasar.ai/­master
DeveloperGoogleIBMquasardb
Initial release2017200120172009
Current release2.7.2, June 20232.03.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licensecommercial infofree developer edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++
Server operating systemshostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux infoLinux, macOS, Windows for the developer additionBSD
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-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 indexesyesyesnoyes infowith tags
SQL infoSupport of SQLnoyesyes infothrough the embedded Spark runtimeSQL-like query language
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
All languages supporting JDBC/ODBC
Java
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsJava, SQLyesno
Triggersyes, with Cloud Functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneActive-active shard replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient mode
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-standardfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
Google Cloud FirestoreHyperSQL infoalso known as HSQLDBIBM Db2 Event StoreQuasardb
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