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DBMS > Badger vs. Drizzle vs. Pinecone

System Properties Comparison Badger vs. Drizzle vs. Pinecone

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDrizzle  Xexclude from comparisonPinecone  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.A managed, cloud-native vector database
Primary database modelKey-value storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitegithub.com/­dgraph-io/­badgerwww.pinecone.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.pinecone.io/­docs/­overview
DeveloperDGraph LabsDrizzle project, originally started by Brian AkerPinecone Systems, Inc
Initial release201720082019
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
hosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyesString, Number, Boolean
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
Secondary indexesnoyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsno
APIs and other access methodsJDBCRESTful HTTP API
Supported programming languagesGoC
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnono
Triggersnono infohooks for callbacks inside the server can be used.
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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, HTTP

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More resources
BadgerDrizzlePinecone
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