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

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

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionCloud-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.A high-performance vector database with neural network or semantic-based matching
Primary database modelDocument storeKey-value store
Wide column store
Time Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitefirebase.google.com/­products/­realtime-databasecloud.google.com/­bigtablewww.hawkular.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationfirebase.google.com/­docs/­databasecloud.google.com/­bigtable/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guideqdrant.tech/­documentation
DeveloperGoogle infoacquired by Google 2014GoogleCommunity supported by Red HatQdrant
Initial release2012201520142021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRust
Server operating systemshostedhostedLinux
OS X
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesNumbers, Strings, Geo, Boolean
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 indexesyesnonoyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnononono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP RESTgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored procedureslimited functionality with using 'rules'nono
TriggersCallbacks are triggered when data changesnoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on CassandraCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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
Eventual Consistency, tunable consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic 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.nonoyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noKey-based authentication

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More resources
Firebase Realtime DatabaseGoogle Cloud BigtableHawkular MetricsQdrant
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