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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
कंपनियाँ
हमारे पास 2,643 कंपनियों के डेटा हैं जो InfluxDB का उपयोग करती हैं। यह क्यूरेटेड सूची डाउनलोड के लिए उपलब्ध है और इसमें उद्योग वर्गीकरण, संगठन का आकार, भौगोलिक स्थान, फंडिंग राउंड्स, और राजस्व आंकड़ों सहित महत्वपूर्ण कंपनी विवरण शामिल हैं।
कंपनी | देश | उद्योग | कर्मचारी | राजस्व |
---|---|---|---|---|
InfluxData | Software Development | 201 | $25M | |
![]() Grafana Labs | Software Development | 1.3K | $300M | |
CyberArk | Software Development | 3.5K | $592M | |
Skytap | It Services And It Consulting | 160 | $41M | |
Sentics GmbH | It Services And It Consulting | 12 | ||
OffWorld | Mining | 89 | ||
MayStreet | It Services And It Consulting | 58 | $7.3M | |
TwinStream | Computer And Network Security | 45 | ||
![]() ClearScore | Financial Services | 430 | $56M | |
ROMMELAG ILABS GMBH | Packaging And Containers Manufacturing | 310 | $44M | |
Wiliot | Technology, Information And Internet | 228 | $10M | |
GIEPS | Insurance Carriers | 201 |
क्या आप पूरी सूची डाउनलोड करना चाहते हैं?
साइन अप करें और 2,643 कंपनियों की पूरी सूची डाउनलोड करें
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टेक्नोलॉजी उपयोग सांख्यिकी और बाजार हिस्सेदारी
आप इस डेटा को अपनी आवश्यकताओं के अनुसार फिल्टर करके अनुकूलित कर सकते हैं, जैसे भूगोल, उद्योग, कंपनी का आकार, राजस्व, तकनीक का उपयोग, नौकरी पद और अधिक। आप डेटा को Excel या CSV प्रारूप में डाउनलोड कर सकते हैं।
आप इस डेटा के लिए अलर्ट प्राप्त कर सकते हैं। आप उस तकनीक का चयन करके शुरुआत कर सकते हैं जिसमें आप रुचि रखते हैं और फिर आपको अपने इनबॉक्स में अलर्ट प्राप्त होंगे जब नई कंपनियां उस तकनीक का उपयोग कर रही होंगी।
आप Theirstack के डेटा को एक Excel फ़ाइल में निर्यात कर सकते हैं, जिसे आपके CRM में आयात किया जा सकता है। आप डेटा को एक API में भी निर्यात कर सकते हैं।
InfluxDB का उपयोग 60 देशों में किया जाता है
103 विकल्प InfluxDB के हैं
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2,7k
2,6k
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अक्सर पूछे जाने वाले सवाल
हमारा डेटा लाखों कंपनियों से एकत्रित नौकरी पोस्टिंग से प्राप्त होता है। हम इन पोस्टिंग को कंपनी वेबसाइटों, नौकरी बोर्डों, और अन्य भर्ती प्लेटफार्मों पर निगरानी करते हैं। नौकरी पोस्टिंग का विश्लेषण करने से कंपनियों द्वारा उपयोग की जा रही तकनीकों को समझने के लिए एक विश्वसनीय विधि मिलती है, जिसमें उनके आंतरिक उपकरणों का उपयोग भी शामिल है।
हम अपने डेटा को दैनिक रूप से ताज़ा करते हैं ताकि यह सुनिश्चित किया जा सके कि आप सबसे अद्यतित जानकारी तक पहुँच रहे हैं। यह बार-बार अद्यतन प्रक्रिया यह गारंटी देती है कि हमारे अंतर्दृष्टि और बुद्धिमत्ता उद्योग के नवीनतम विकास और रुझानों को दर्शाती हैं।
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.
आप TheirStack.com पर जाकर InfluxDB का उपयोग करने वाली कंपनियों की अद्यतन सूची प्राप्त कर सकते हैं। हमारा प्लेटफ़ॉर्म विभिन्न तकनीकों और आंतरिक उपकरणों का उपयोग करने वाली कंपनियों का एक व्यापक डेटाबेस प्रदान करता है।
अभी तक, हमारे पास 2,643 कंपनियों के बारे में डेटा है जो InfluxDB का उपयोग करती हैं।
InfluxDB का उपयोग विभिन्न उद्योगों सहित "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" में कई संगठनों द्वारा किया जाता है। InfluxDB का उपयोग करने वाले सभी उद्योगों की विस्तृत सूची के लिए, कृपया TheirStack.com पर जाएं।
कुछ कंपनियाँ जो InfluxDB का उपयोग करती हैं, उनमें InfluxData, Grafana Labs, CyberArk, Skytap, Sentics GmbH, OffWorld, MayStreet, TwinStream, ClearScore, ROMMELAG ILABS GMBH और कई अन्य शामिल हैं। आप TheirStack.com पर InfluxDB का उपयोग करने वाली 2,643 कंपनियों की पूरी सूची पा सकते हैं।
हमारे डेटा के आधार पर, InfluxDB (752 companies), (206 companies), (198 companies), (178 companies), (129 companies), (52 companies), (51 companies), (41 companies), (27 companies), (25 companies) में सबसे लोकप्रिय है। हालांकि, इसे दुनिया भर की कंपनियों द्वारा उपयोग किया जाता है।
आप TheirStack.com पर InfluxDB का उपयोग करने वाली कंपनियों को खोजकर पा सकते हैं, हम लाखों कंपनियों की नौकरी पोस्टिंग को ट्रैक करते हैं और इसका उपयोग करके पता लगाते हैं कि वे कौन सी तकनीक और आंतरिक टूल का उपयोग कर रहे हैं।