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DBMS > Firebase Realtime Database vs. Hawkular Metrics vs. Memgraph vs. Milvus vs. TypeDB

System Properties Comparison Firebase Realtime Database vs. Hawkular Metrics vs. Memgraph vs. Milvus vs. TypeDB

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMemgraph  Xexclude from comparisonMilvus  Xexclude from comparisonTypeDB infoformerly named Grakn  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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.An open source graph database built for real-time streaming and compatible with Neo4jA DBMS designed for efficient storage of vector data and vector similarity searchesTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument storeTime Series DBMSGraph DBMSVector DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.00
Rank#39  Overall
#6  Document stores
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score3.00
Rank#102  Overall
#8  Graph DBMS
Score1.81
Rank#144  Overall
#5  Vector DBMS
Score0.81
Rank#217  Overall
#19  Graph DBMS
#99  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.hawkular.orgmemgraph.commilvus.iotypedb.com
Technical documentationfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidememgraph.com/­docsmilvus.io/­docs/­overview.mdtypedb.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperGoogle infoacquired by Google 2014Community supported by Red HatMemgraph LtdVaticle
Initial release20122014201720192016
Current release2.3.4, January 20242.26.3, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoFree license availableOpen Source infoApache Version 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC and C++C++, GoJava
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and Stringyes
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 indexesyesnonoyes
SQL infoSupport of SQLnonononono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTBolt protocol
Cypher query language
RESTful HTTP APIgRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'nonono
TriggersCallbacks are triggered when data changesyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infodynamic graph partitioningShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication using RAFTMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infowith snapshot isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlyes, based on authentication and database rulesnoUsers, roles and permissionsRole based access control and fine grained access rightsyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Firebase Realtime DatabaseHawkular MetricsMemgraphMilvusTypeDB infoformerly named Grakn
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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Firebase Realtime DatabaseHawkular MetricsMemgraphMilvusTypeDB infoformerly named Grakn
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