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DBMS > FeatureBase vs. Oracle Berkeley DB vs. VelocityDB vs. VictoriaMetrics

System Properties Comparison FeatureBase vs. Oracle Berkeley DB vs. VelocityDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonVelocityDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Widely used in-process key-value storeA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
Object oriented DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.featurebase.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlvelocitydb.comvictoriametrics.com
Technical documentationdocs.featurebase.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlvelocitydb.com/­UserGuidedocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperMolecula and Pilosa Open Source ContributorsOracle infooriginally developed by Sleepycat, which was acquired by OracleVelocityDB IncVictoriaMetrics
Initial release2017199420112018
Current release2022, May 202218.1.40, May 20207.xv1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, Java, C++ (depending on the Berkeley DB edition)C#Go
Server operating systemsLinux
macOS
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Any that supports .NETFreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.noyes infoonly with the Berkeley DB XML editionnono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL queriesyes infoSQL interfaced based on SQLite is availablenono
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
.NetGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJava
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
Server-side scripts infoStored proceduresnonono
Triggersnoyes infoonly for the SQL APICallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlnoBased on Windows Authentication

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More resources
FeatureBaseOracle Berkeley DBVelocityDBVictoriaMetrics
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