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InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
2,643
aziende
Abbiamo dati su 2,643 aziende che usano InfluxDB. La nostra lista di clienti InfluxDB è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
InfluxData | Stati Uniti | Software Development | 201 | $25M |
![]() Grafana Labs | Stati Uniti | Software Development | 1.3K | $300M |
CyberArk | Stati Uniti | Software Development | 3.5K | $592M |
Skytap | Stati Uniti | It Services And It Consulting | 160 | $41M |
Sentics GmbH | Germania | It Services And It Consulting | 12 | |
OffWorld | Stati Uniti | Mining | 89 | |
MayStreet | Stati Uniti | It Services And It Consulting | 58 | $7.3M |
TwinStream | Regno Unito | Computer And Network Security | 45 | |
![]() ClearScore | Regno Unito | Financial Services | 430 | $56M |
ROMMELAG ILABS GMBH | Germania | Packaging And Containers Manufacturing | 310 | $44M |
Wiliot | Israele | Technology, Information And Internet | 228 | $10M |
GIEPS | Francia | Insurance Carriers | 201 |
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InfluxDB è utilizzata in 60 paesi
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Domande frequenti
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InfluxDB is a high-performance, open-source time series database designed to handle high write and query loads. As a part of the larger ecosystem of InfluxData, InfluxDB offers a platform that enables users to collect, store, visualize, and monitor time series data in real-time. It is optimized for fast storage and retrieval of time-stamped data and is widely used in applications where metrics, events, and other time-sensitive data need to be efficiently managed and analyzed.
In the realm of databases, InfluxDB falls into the category of time series databases. Unlike traditional relational databases that excel at handling general-purpose data with complex relationships, time series databases are specialized in storing data that is indexed, processed, and queried based on timestamps. This makes InfluxDB particularly suitable for use cases such as monitoring infrastructure, IoT sensor data, financial trading, and DevOps observability, where real-time analytics on time-stamped data are crucial.
InfluxDB was founded in 2013 by Paul Dix with the vision of providing a scalable and efficient time series database solution for modern applications that rely on time-centric data. Over the years, InfluxDB has gained popularity among developers and organizations for its performance, ease of use, and robust feature set. The project has evolved through various versions, with continuous improvements and enhancements to meet the growing demands of time series data management.
In terms of market share, InfluxDB has established a solid presence within the time series database landscape, competing with other prominent players in the market. With the increasing adoption of IoT, cloud computing, and real-time analytics, the demand for efficient time series databases like InfluxDB is expected to rise. As a result, it is forecasted that InfluxDB's market share is likely to grow in the future as more industries recognize the value of specialized solutions for managing time series data effectively.
Companies choose InfluxDB for its powerful features and capabilities tailored specifically for time-series data storage and analysis. InfluxDB's high-performance architecture, flexibility, and scalability make it a top choice for businesses across various industries.
InfluxDB excels in real-time data processing, allowing companies to ingest, store, and analyze time-series data with minimal delay. Its efficient indexing and compression techniques ensure swift data retrieval, enabling businesses to make timely decisions based on the most up-to-date information.
InfluxDB's horizontal scalability and support for clustering make it ideal for handling large volumes of time-series data. Compared to traditional databases, InfluxDB's performance remains consistent even as data grows, ensuring optimal query speeds and data processing efficiency.
InfluxDB offers built-in monitoring and alerting capabilities, empowering companies to track key metrics in real-time and set alerts for anomalies or threshold breaches. This streamlined approach eliminates the need for third-party tools, simplifying the monitoring process and saving valuable time and resources.
InfluxDB seamlessly integrates with a wide range of data visualization and analytics tools, enhancing companies' ability to derive insights from time-series data. Its compatibility with popular frameworks and languages simplifies the integration process, enabling businesses to leverage existing technology investments effectively.
In the realm of databases, InfluxDB stands out as a popular choice for companies requiring time series data storage and analysis. Several prominent organizations rely on InfluxDB to power their data-driven operations, leveraging its capabilities to handle high-frequency data and obtain valuable insights. Let's explore a few real-world case studies showcasing how companies effectively utilize InfluxDB:
Shopify, the leading e-commerce platform, utilizes InfluxDB to manage and analyze its vast array of time series data generated from customer transactions, website interactions, and system performance metrics. Shopify started using InfluxDB in 2017 to enhance monitoring and troubleshooting across its entire ecosystem. By leveraging InfluxDB's efficient data storage and querying functionalities, Shopify gains real-time visibility into key performance indicators, enabling proactive decision-making and streamlined operations.
Robinhood, a popular financial services company known for its commission-free investing platform, relies on InfluxDB to handle the influx of real-time stock market data essential for providing users with up-to-date market insights and trading information. Since integrating InfluxDB into its data infrastructure in 2018, Robinhood has enhanced its data processing capabilities, enabling faster data retrieval and analysis to offer users seamless trading experiences while ensuring compliance with industry regulations.
Philips, a global leader in health technology, harnesses InfluxDB to manage critical healthcare data related to patient monitoring, medical device performance, and operational efficiency. By adopting InfluxDB in 2016, Philips has revolutionized its data analytics processes, enabling healthcare professionals to access real-time patient information, identify trends, and make informed treatment decisions swiftly. The scalability and performance of InfluxDB empower Philips to deliver advanced healthcare solutions while ensuring data security and integrity.
These case studies exemplify how companies across diverse industries leverage InfluxDB's advanced capabilities to drive innovation, enhance operational efficiency, and deliver superior user experiences. Harnessing the power of InfluxDB, organizations can unlock the potential of their time series data to gain actionable insights and stay ahead in today's data-driven landscape.
Puoi accedere a un elenco aggiornato di aziende che utilizzano InfluxDB visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 2,643 aziende che utilizzano InfluxDB.
InfluxDB è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Software Development", "Software Development", "Software Development", "It Services And It Consulting", "It Services And It Consulting", "Mining", "It Services And It Consulting", "Computer And Network Security", "Financial Services", "Packaging And Containers Manufacturing". Per un elenco completo di tutti i settori che utilizzano InfluxDB, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano InfluxDB includono InfluxData, Grafana Labs, CyberArk, Skytap, Sentics GmbH, OffWorld, MayStreet, TwinStream, ClearScore, ROMMELAG ILABS GMBH e molte altre. Puoi trovare un elenco completo di 2,643 aziende che utilizzano InfluxDB su TheirStack.com.
Secondo i nostri dati, InfluxDB è più popolare in Stati Uniti (752 companies), Francia (206 companies), Regno Unito (198 companies), Germania (178 companies), Spagna (129 companies), India (52 companies), Canada (51 companies), Paesi Bassi (41 companies), Brasile (27 companies), Australia (25 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano InfluxDB cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.