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DBMS > AlaSQL vs. Google Cloud Firestore vs. H2 vs. Sphinx vs. TDSQL for MySQL

System Properties Comparison AlaSQL vs. Google Cloud Firestore vs. H2 vs. Sphinx vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonH2  Xexclude from comparisonSphinx  Xexclude from comparisonTDSQL for MySQL  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Open source search engine for searching in data from different sources, e.g. relational databasesA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial 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
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitealasql.orgfirebase.google.com/­products/­firestorewww.h2database.comsphinxsearch.comwww.tencentcloud.com/­products/­dcdb
Technical documentationgithub.com/­AlaSQL/­alasqlfirebase.google.com/­docs/­firestorewww.h2database.com/­html/­main.htmlsphinxsearch.com/­docswww.tencentcloud.com/­document/­product/­1042
DeveloperAndrey Gershun & Mathias R. WulffGoogleThomas MuellerSphinx Technologies Inc.Tencent
Initial release20142017200520012013
Current release2.2.220, July 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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 indexesnoyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyesSQL-like query language (SphinxQL)yes
APIs and other access methodsJavaScript APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocolJDBC
ODBC
Supported programming languagesJavaScriptGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud FunctionsJava Stored Procedures and User-Defined Functionsnoyes
Triggersyesyes, with Cloud Functionsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationWith clustering: 2 database servers on different computers operate on identical copies of a databasenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageyesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
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-standardnoUsers with fine-grained authorization concept

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More resources
AlaSQLGoogle Cloud FirestoreH2SphinxTDSQL for MySQL
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