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DBMS > AlaSQL vs. Google Cloud Firestore vs. IBM Db2 Event Store vs. Spark SQL

System Properties Comparison AlaSQL vs. Google Cloud Firestore vs. IBM Db2 Event Store vs. Spark SQL

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionJavaScript DBMS libraryCloud 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 Event Store optimized for Internet of Things use casesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Relational DBMS
Document storeEvent Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitealasql.orgfirebase.google.com/­products/­firestorewww.ibm.com/­products/­db2-event-storespark.apache.org/­sql
Technical documentationgithub.com/­AlaSQL/­alasqlfirebase.google.com/­docs/­firestorewww.ibm.com/­docs/­en/­db2-event-storespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAndrey Gershun & Mathias R. WulffGoogleIBMApache Software Foundation
Initial release2014201720172014
Current release2.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercialcommercial infofree developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC and C++Scala
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesnono
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyes infothrough the embedded Spark runtimeSQL-like DML and DDL statements
APIs and other access methodsJavaScript APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesJavaScriptGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsyesno
Triggersyesyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageyesnono
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoAccess 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-standardno

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More resources
AlaSQLGoogle Cloud FirestoreIBM Db2 Event StoreSpark SQL
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