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DBMS > DolphinDB vs. Firebase Realtime Database vs. Google Cloud Bigtable vs. Hawkular Metrics

System Properties Comparison DolphinDB vs. Firebase Realtime Database vs. Google Cloud Bigtable vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
DescriptionTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelTime Series DBMSDocument storeWide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.24
Rank#157  Overall
#11  Time Series DBMS
Score19.36
Rank#36  Overall
#5  Document stores
Score3.63
Rank#89  Overall
#8  Wide column stores
Score0.03
Rank#332  Overall
#32  Time Series DBMS
Websitewww.dolphindb.comfirebase.google.com/­products/­realtime-databasecloud.google.com/­bigtablewww.hawkular.org
Technical documentationwww.dolphindb.com/­helpfirebase.google.com/­docs/­databasecloud.google.com/­bigtable/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperDolphinDB, IncGoogle infoacquired by Google 2014GoogleCommunity supported by Red Hat
Initial release2018201220152014
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsLinux
Windows
hostedhostedLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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 SQLSQL-like query languagenonono
APIs and other access methodsJDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP REST
Supported programming languagesC#
C++
Java
JavaScript
Python
R
Java
JavaScript
Objective-C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'nono
TriggersnoCallbacks are triggered when data changesnoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAdministrators, Users, Groupsyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
DolphinDBFirebase Realtime DatabaseGoogle Cloud BigtableHawkular Metrics
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