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DBMS > AlaSQL vs. Blazegraph vs. Google Cloud Firestore vs. H2 vs. Sphinx

System Properties Comparison AlaSQL vs. Blazegraph vs. Google Cloud Firestore vs. H2 vs. Sphinx

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonBlazegraph  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonH2  Xexclude from comparisonSphinx  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionJavaScript DBMS libraryHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Cloud 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 databases
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Document storeRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#235  Overall
#37  Document stores
#112  Relational DBMS
Score0.96
Rank#180  Overall
#16  Graph DBMS
#8  RDF stores
Score8.92
Rank#52  Overall
#9  Document stores
Score9.99
Rank#47  Overall
#30  Relational DBMS
Score8.03
Rank#55  Overall
#6  Search engines
Websitealasql.orgblazegraph.comfirebase.google.com/­products/­firestorewww.h2database.comsphinxsearch.com
Technical documentationgithub.com/­agershun/­alasqlwiki.blazegraph.comfirebase.google.com/­docs/­firestorewww.h2database.com/­html/­main.htmlsphinxsearch.com/­docs
DeveloperAndrey Gershun & Mathias R. WulffBlazegraphGoogleThomas MuellerSphinx Technologies Inc.
Initial release20142006201720052001
Current release2.1.5, March 20192.1.210, January 20223.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoextended commercial license availablecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaJavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
hostedAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes infoRDF literal typesyesyesno
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.nonono
Secondary indexesnoyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SPARQL is used as query languagenoyesSQL-like query language (SphinxQL)
APIs and other access methodsJavaScript APIJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languagesJavaScript.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesyes, Firebase Rules & Cloud FunctionsJava Stored Procedures and User-Defined Functionsno
Triggersyesnoyes, with Cloud Functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replicationWith clustering: 2 database servers on different computers operate on identical copies of a databasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in Graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access 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
AlaSQLBlazegraphGoogle Cloud FirestoreH2Sphinx
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