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DBMS > Atos Standard Common Repository vs. Firebase Realtime Database vs. Hawkular Metrics vs. Memgraph vs. Milvus

System Properties Comparison Atos Standard Common Repository vs. Firebase Realtime Database vs. Hawkular Metrics vs. Memgraph vs. Milvus

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMemgraph  Xexclude from comparisonMilvus  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksCloud-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 searches
Primary database modelDocument store
Key-value store
Document storeTime Series DBMSGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.07
Rank#38  Overall
#6  Document stores
Score0.07
Rank#366  Overall
#38  Time Series DBMS
Score3.09
Rank#105  Overall
#7  Graph DBMS
Score1.70
Rank#150  Overall
#5  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryfirebase.google.com/­products/­realtime-databasewww.hawkular.orgmemgraph.commilvus.io
Technical documentationfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidememgraph.com/­docsmilvus.io/­docs/­overview.md
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperAtos Convergence CreatorsGoogle infoacquired by Google 2014Community supported by Red HatMemgraph Ltd
Initial release20162012201420172019
Current release17032.3.4, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infoFree license availableOpen Source infoApache Version 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaJavaC and C++C++, Go
Server operating systemsLinuxhostedLinux
OS X
Windows
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateoptionalyesyesyesVector, Numeric and String
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.yesnononono
Secondary indexesyesyesnono
SQL infoSupport of SQLnonononono
APIs and other access methodsLDAPAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTBolt protocol
Cypher query language
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsJava
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
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'nono
TriggersyesCallbacks are triggered when data changesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infobased on CassandraSharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual 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
Foreign keys infoReferential integritynononoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesnoACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlLDAP bind authenticationyes, based on authentication and database rulesnoUsers, roles and permissionsRole based access control and fine grained access rights
More information provided by the system vendor
Atos Standard Common RepositoryFirebase Realtime DatabaseHawkular MetricsMemgraphMilvus
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
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
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» 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

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More resources
Atos Standard Common RepositoryFirebase Realtime DatabaseHawkular MetricsMemgraphMilvus
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