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DBMS > Dolt vs. Hawkular Metrics vs. Kinetica vs. Transbase vs. VelocityDB

System Properties Comparison Dolt vs. Hawkular Metrics vs. Kinetica vs. Transbase vs. VelocityDB

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKinetica  Xexclude from comparisonTransbase  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Fully vectorized database across both GPUs and CPUsA resource-optimized, high-performance, universally applicable RDBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.hawkular.orgwww.kinetica.comwww.transaction.de/­en/­products/­transbase.htmlvelocitydb.com
Technical documentationdocs.dolthub.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.kinetica.comwww.transaction.de/­en/­products/­transbase/­features.htmlvelocitydb.com/­UserGuide
DeveloperDoltHub IncCommunity supported by Red HatKineticaTransaction Software GmbHVelocityDB Inc
Initial release20182014201219872011
Current release7.1, August 2021Transbase 8.3, 20227.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial infofree development licensecommercial
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 languageGoJavaC, C++C and C++C#
Server operating systemsLinux
macOS
Windows
Linux
OS X
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Any that supports .NET
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsyesno
APIs and other access methodsCLI Client
HTTP REST
HTTP RESTJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
.Net
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
.Net
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenouser defined functionsyesno
Triggersyesyes infovia Hawkular Alertingyes infotriggers when inserted values for one or more columns fall within a specified rangeyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.selectable replication factor infobased on CassandraSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupnoAccess rights for users and roles on table levelfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
DoltHawkular MetricsKineticaTransbaseVelocityDB
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