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DBMS > Badger vs. Drizzle vs. Ingres vs. NSDb

System Properties Comparison Badger vs. Drizzle vs. Ingres vs. NSDb

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDrizzle  Xexclude from comparisonIngres  Xexclude from comparisonNSDb  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Well established RDBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.actian.com/­databases/­ingresnsdb.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.actian.com/­ingresnsdb.io/­Architecture
DeveloperDGraph LabsDrizzle project, originally started by Brian AkerActian Corporation
Initial release201720081974 infooriginally developed at University Berkely in early 1970s2017
Current release7.2.4, September 201212.0, July 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++CJava, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes: 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.nono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyesyesall fields are automatically indexed
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesSQL-like query language
APIs and other access methodsJDBC.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
gRPC
HTTP REST
WebSocket
Supported programming languagesGoC
C++
Java
PHP
Java
Scala
Server-side scripts infoStored proceduresnonoyesno
Triggersnono infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Ingres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
BadgerDrizzleIngresNSDb
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