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DBMS > BoltDB vs. Dgraph vs. GridDB vs. Hawkular Metrics vs. NSDb

System Properties Comparison BoltDB vs. Dgraph vs. GridDB vs. Hawkular Metrics vs. NSDb

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDgraph  Xexclude from comparisonGridDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Distributed and scalable native Graph DBMSScalable 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.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelKey-value storeGraph DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitegithub.com/­boltdb/­boltdgraph.iogriddb.netwww.hawkular.orgnsdb.io
Technical documentationdgraph.io/­docsdocs.griddb.netwww.hawkular.org/­hawkular-metrics/­docs/­user-guidensdb.io/­Architecture
DeveloperDgraph Labs, Inc.Toshiba CorporationCommunity supported by Red Hat
Initial release20132016201320142017
Current release5.1, August 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGoC++JavaJava, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Linux
macOS
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes: int, bigint, decimal, 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.nonononono
Secondary indexesnoyesyesnoall fields are automatically indexed
SQL infoSupport of SQLnonoSQL92, SQL-like TQL (Toshiba Query Language)noSQL-like query language
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP RESTgRPC
HTTP REST
WebSocket
Supported programming languagesGoC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
Java
Scala
Server-side scripts infoStored proceduresnonononono
Triggersnonoyesyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication via RaftSource-replica replicationselectable replication factor infobased on Cassandra
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 systemnoneImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID at container levelnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnono infoPlanned for future releasesAccess rights for users can be defined per databaseno
More information provided by the system vendor
BoltDBDgraphGridDBHawkular MetricsNSDb
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
BoltDBDgraphGridDBHawkular MetricsNSDb
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