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DBMS > Bangdb vs. Firebase Realtime Database vs. GridDB vs. Hawkular Metrics vs. Memgraph

System Properties Comparison Bangdb vs. Firebase Realtime Database vs. GridDB vs. Hawkular Metrics vs. Memgraph

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGridDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Scalable in-memory time series database optimized for IoT and Big DataHawkular 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 Neo4j
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeTime Series DBMSTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Websitebangdb.comfirebase.google.com/­products/­realtime-databasegriddb.netwww.hawkular.orgmemgraph.com
Technical documentationdocs.bangdb.comfirebase.google.com/­docs/­databasedocs.griddb.netwww.hawkular.org/­hawkular-metrics/­docs/­user-guidememgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperSachin Sinha, BangDBGoogle infoacquired by Google 2014Toshiba CorporationCommunity supported by Red HatMemgraph Ltd
Initial release20122012201320142017
Current releaseBangDB 2.0, October 20215.1, August 2022
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0Open Source infoBSL 1.1; commercial license for enterprise edition available
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 languageC, C++C++JavaC and C++
Server operating systemsLinuxhostedLinuxLinux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyesschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialyesyesno
SQL infoSupport of SQLSQL like support with command line toolnoSQL92, SQL-like TQL (Toshiba Query Language)nono
APIs and other access methodsProprietary protocol
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP RESTBolt protocol
Cypher query language
Supported programming languagesC
C#
C++
Java
Python
Java
JavaScript
Objective-C
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'nono
Triggersyes, Notifications (with Streaming only)Callbacks are triggered when data changesyesyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infobased on CassandraSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationselectable replication factor infobased on CassandraMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate consistency within container, eventual consistency across containersEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID at container levelnoACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesnoyes
User concepts infoAccess controlyes (enterprise version only)yes, based on authentication and database rulesAccess rights for users can be defined per databasenoUsers, roles and permissions
More information provided by the system vendor
BangdbFirebase Realtime DatabaseGridDBHawkular MetricsMemgraph
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
You can check out our pricing model and licenses on the company website .
» more

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More resources
BangdbFirebase Realtime DatabaseGridDBHawkular MetricsMemgraph
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