DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Badger vs. NSDb vs. Pinecone vs. SiteWhere

System Properties Comparison Badger vs. NSDb vs. Pinecone vs. SiteWhere

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonNSDb  Xexclude from comparisonPinecone  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA managed, cloud-native vector databaseM2M integration platform for persisting/querying time series data
Primary database modelKey-value storeTime Series DBMSVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgernsdb.iowww.pinecone.iogithub.com/­sitewhere/­sitewhere
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgernsdb.io/­Architecturedocs.pinecone.io/­docs/­overviewsitewhere1.sitewhere.io/­index.html
DeveloperDGraph LabsPinecone Systems, IncSiteWhere
Initial release2017201720192010
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ScalaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
hostedLinux
OS X
Windows
Data schemeschema-freepredefined scheme
Typing infopredefined data types such as float or datenoyes: int, bigint, decimal, stringString, Number, Booleanyes
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 indexesnoall fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsgRPC
HTTP REST
WebSocket
RESTful HTTP APIHTTP REST
Supported programming languagesGoJava
Scala
Python
Server-side scripts infoStored proceduresnono
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoUsers with fine-grained authorization concept

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BadgerNSDbPineconeSiteWhere
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

Pinecone’s new serverless database may see few takers, analysts say
17 January 2024, InfoWorld

Pinecone Unveils Serverless Vector Database for Enhanced AI Applications
16 January 2024, Datanami

Pinecone Brings Serverless To Vector Databases
16 January 2024, Forbes

Pinecone: New vector database architecture a 'breakthrough' to curb AI hallucinations
16 January 2024, VentureBeat

Reimagining Vector Databases for the Generative AI Era with Pinecone Serverless on AWS | Amazon Web Services
21 March 2024, AWS Blog

provided by Google News

11 Best Open source IoT Platforms To Develop Smart Projects
9 March 2023, H2S Media

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here