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DBMS > AlaSQL vs. Firebase Realtime Database vs. Hawkular Metrics vs. HugeGraph vs. OrigoDB

System Properties Comparison AlaSQL vs. Firebase Realtime Database vs. Hawkular Metrics vs. HugeGraph vs. OrigoDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHugeGraph  Xexclude from comparisonOrigoDB  Xexclude from comparison
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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A fast-speed and highly-scalable Graph DBMSA fully ACID in-memory object graph database
Primary database modelDocument store
Relational DBMS
Document storeTime Series DBMSGraph DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitealasql.orgfirebase.google.com/­products/­realtime-databasewww.hawkular.orggithub.com/­hugegraph
hugegraph.apache.org
origodb.com
Technical documentationgithub.com/­AlaSQL/­alasqlfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidehugegraph.apache.org/­docsorigodb.com/­docs
DeveloperAndrey Gershun & Mathias R. WulffGoogle infoacquired by Google 2014Community supported by Red HatBaiduRobert Friberg et al
Initial release20142012201420182009 infounder the name LiveDB
Current release0.9
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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)hostedLinux
OS X
Windows
Linux
macOS
Unix
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesnoyesnoyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nononono
APIs and other access methodsJavaScript APIAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
HTTP API
LINQ
Supported programming languagesJavaScriptJava
JavaScript
Objective-C
Go
Java
Python
Ruby
Groovy
Java
Python
.Net
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noasynchronous Gremlin script jobsyes
TriggersyesCallbacks are triggered when data changesyes infovia Hawkular Alertingnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityyesnonoyes infoedges in graphdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnoyes, based on authentication and database rulesnoUsers, roles and permissionsRole based authorization

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More resources
AlaSQLFirebase Realtime DatabaseHawkular MetricsHugeGraphOrigoDB
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