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DBMS > AlaSQL vs. Firebase Realtime Database vs. HugeGraph vs. Microsoft Azure Table Storage vs. Trafodion

System Properties Comparison AlaSQL vs. Firebase Realtime Database vs. HugeGraph vs. Microsoft Azure Table Storage vs. Trafodion

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionJavaScript DBMS libraryCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A fast-speed and highly-scalable Graph DBMSA Wide Column Store for rapid development using massive semi-structured datasetsTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Relational DBMS
Document storeGraph DBMSWide column storeRelational 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
Score14.29
Rank#39  Overall
#6  Document stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitealasql.orgfirebase.google.com/­products/­realtime-databasegithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­en-us/­services/­storage/­tablestrafodion.apache.org
Technical documentationgithub.com/­AlaSQL/­alasqlfirebase.google.com/­docs/­databasehugegraph.apache.org/­docstrafodion.apache.org/­documentation.html
DeveloperAndrey Gershun & Mathias R. WulffGoogle infoacquired by Google 2014BaiduMicrosoftApache Software Foundation, originally developed by HP
Initial release20142012201820122014
Current release0.92.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaC++, Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
macOS
Unix
hostedLinux
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonononono
Secondary indexesnoyesyes infoalso supports composite index and range indexnoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nononoyes
APIs and other access methodsJavaScript APIAndroid
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesJavaScriptJava
JavaScript
Objective-C
Groovy
Java
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'asynchronous Gremlin script jobsnoJava Stored Procedures
TriggersyesCallbacks are triggered when data changesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparknoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageyesACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlnoyes, based on authentication and database rulesUsers, roles and permissionsAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
AlaSQLFirebase Realtime DatabaseHugeGraphMicrosoft Azure Table StorageTrafodion
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