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DBMS > Bangdb vs. GridDB vs. Hawkular Metrics vs. Hyprcubd vs. SwayDB

System Properties Comparison Bangdb vs. GridDB vs. Hawkular Metrics vs. Hyprcubd vs. SwayDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGridDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHyprcubd  Xexclude from comparisonSwayDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphScalable 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.Serverless Time Series DBMSAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSTime Series DBMSTime Series DBMSKey-value store
Secondary database modelsSpatial DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score0.04
Rank#373  Overall
#57  Key-value stores
Websitebangdb.comgriddb.netwww.hawkular.orghyprcubd.com (offline)swaydb.simer.au
Technical documentationdocs.bangdb.comdocs.griddb.netwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperSachin Sinha, BangDBToshiba CorporationCommunity supported by Red HatHyprcubd, Inc.Simer Plaha
Initial release2012201320142018
Current releaseBangDB 2.0, October 20215.1, August 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0commercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++JavaGoScala
Server operating systemsLinuxLinuxLinux
OS X
Windows
hosted
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infonumerical, string, blob, geometry, boolean, timestampyesyes infotime, int, uint, float, stringno
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, geospatialyesnonono
SQL infoSupport of SQLSQL like support with command line toolSQL92, SQL-like TQL (Toshiba Query Language)noSQL-like query languageno
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP RESTgRPC (https)
Supported programming languagesC
C#
C++
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnonononono
Triggersyes, Notifications (with Streaming only)yesyes infovia Hawkular Alertingnono
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 Cassandranone
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 Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate consistency within container, eventual consistency across containersEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelnonoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesnoyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
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 modeyesnonoyes
User concepts infoAccess controlyes (enterprise version only)Access rights for users can be defined per databasenotoken accessno
More information provided by the system vendor
BangdbGridDBHawkular MetricsHyprcubdSwayDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» 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

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More resources
BangdbGridDBHawkular MetricsHyprcubdSwayDB
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