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DBMS > BoltDB vs. Hawkular Metrics vs. NSDb vs. VelocityDB vs. Vitess

System Properties Comparison BoltDB vs. Hawkular Metrics vs. NSDb vs. VelocityDB vs. Vitess

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonNSDb  Xexclude from comparisonVelocityDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Hawkular 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 KubernetesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeTime Series DBMSTime Series DBMSGraph DBMS
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.hawkular.orgnsdb.iovelocitydb.comvitess.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidensdb.io/­Architecturevelocitydb.com/­UserGuidevitess.io/­docs
DeveloperCommunity supported by Red HatVelocityDB IncThe Linux Foundation, PlanetScale
Initial release20132014201720112013
Current release7.x15.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0, commercial licenses available
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 languageGoJavaJava, ScalaC#Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
Any that supports .NETDocker
Linux
macOS
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes: int, bigint, decimal, stringyesyes
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.nononono
Secondary indexesnonoall fields are automatically indexedyesyes
SQL infoSupport of SQLnonoSQL-like query languagenoyes infowith proprietary extensions
APIs and other access methodsHTTP RESTgRPC
HTTP REST
WebSocket
.NetADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGoGo
Java
Python
Ruby
Java
Scala
.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonononoyes infoproprietary syntax
Triggersnoyes infovia Hawkular AlertingCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnonoBased on Windows AuthenticationUsers with fine-grained authorization concept infono user groups or roles

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More resources
BoltDBHawkular MetricsNSDbVelocityDBVitess
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