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DBMS > BoltDB vs. Qdrant vs. QuestDB vs. SiteWhere

System Properties Comparison BoltDB vs. Qdrant vs. QuestDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonQdrant  Xexclude from comparisonQuestDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A high-performance vector database with neural network or semantic-based matchingA high performance open source SQL database for time series dataM2M integration platform for persisting/querying time series data
Primary database modelKey-value storeVector DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitegithub.com/­boltdb/­boltgithub.com/­qdrant/­qdrant
qdrant.tech
questdb.iogithub.com/­sitewhere/­sitewhere
Technical documentationqdrant.tech/­documentationquestdb.io/­docssitewhere1.sitewhere.io/­index.html
DeveloperQdrantQuestDB Technology IncSiteWhere
Initial release2013202120142010
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0
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 languageGoRustJava (Zero-GC), C++, RustJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes infoschema-free via InfluxDB Line Protocolpredefined scheme
Typing infopredefined data types such as float or datenoNumbers, Strings, Geo, Booleanyesyes
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 indexesnoyes infoKeywords, numberic ranges, geo, full-textnono
SQL infoSupport of SQLnonoSQL with time-series extensionsno
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP REST
Supported programming languagesGo.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by timestamps)Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneCollection-level replicationSource-replica replication with eventual consistencyselectable 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 Consistency, tunable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infothrough memory mapped filesno
User concepts infoAccess controlnoKey-based authenticationUsers with fine-grained authorization concept
More information provided by the system vendor
BoltDBQdrantQuestDBSiteWhere
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
News

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8 May 2024

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6 May 2024

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12 April 2024

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8 April 2024

Build a temperature IoT sensor with Raspberry Pi Pico & QuestDB
5 April 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
BoltDBQdrantQuestDBSiteWhere
Recent citations in the news

What I learnt from building 3 high traffic web applications on an embedded key value store.
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QuestDB snares $12M Series A with hosted version coming soon
3 November 2021, TechCrunch

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10 February 2022, hackernoon.com

Aquis Exchange goes live with QuestDB for real time monitoring
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The Landscape of Timeseries Databases | by Kovid Rathee
9 May 2022, Towards Data Science

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SiteWhere: An open platform for connected devices
11 July 2017, Open Source For You

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