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It is a fast, scalable, and serverless time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th the cost of relational databases. It saves you time and cost in managing the lifecycle of time series data by keeping recent data in memory and moving historical data to a cost optimized storage tier based upon user defined policies.
150
aziende
Abbiamo dati su 150 aziende che usano Amazon Timestream. La nostra lista di clienti Amazon Timestream 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 |
---|---|---|---|---|
Martin Engineering | Stati Uniti | Mining | 570 | $50M |
Rointe heating | Regno Unito | Appliances, Electrical, And Electronics Manufacturing | 200 | $312K |
Hereworks | Irlanda | It Services And It Consulting | 51 | |
Carrier Klimatechnik GmbH | Stati Uniti | Machinery Manufacturing | 52K | $20B |
Carrier | Stati Uniti | Wholesale Building Materials | 52K | $21B |
Ruvos | Stati Uniti | It Services And It Consulting | 80 | $7M |
KLIKA TECH | Stati Uniti | It Services And It Consulting | 290 | $10M |
Applicantz | Stati Uniti | Technology, Information And Internet | 226 | |
Storm Reply GmbH | Italia | It Services And It Consulting | 260 | |
INTRAVIS GmbH | Germania | Manufacturing | 500 | |
Caroda | Rep. Ceca | Online Audio And Video Media | 8 | |
ROINTE | Spagna | 100 |
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Amazon Timestream è utilizzata in 13 paesi
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I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
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Amazon Timestream is a purpose-built, fully managed time-series database service by Amazon Web Services (AWS) that makes it easy to store and analyze trillions of events per day. It is designed to handle high volumes of timestamped data and is optimized for time-series data processing and analysis. Amazon Timestream provides a serverless, scalable, and cost-effective solution for managing time-series data, such as IoT applications, telemetry data, and DevOps monitoring.
Within the category of Databases, Amazon Timestream stands out as a specialized database service tailored specifically for time-series data. Time-series databases are optimized for handling data points indexed by time and are commonly used in applications where data is collected sequentially over time. Amazon Timestream's architecture and features are engineered to efficiently manage large-scale, time-stamped data sets and enable users to derive valuable insights from time-series data analysis.
Amazon Timestream was founded by Amazon Web Services (AWS) in 2020 to address the growing demand for a scalable and performant time-series database service within the cloud computing market. AWS recognized the need for a specialized solution that could efficiently handle the unique requirements of time-series data processing at scale, leading to the development of Amazon Timestream. Since its launch, Amazon Timestream has gained traction in various industries, including IoT, financial services, and application monitoring.
Currently, Amazon Timestream holds a growing market share within the time-series database category, fueled by the increasing adoption of IoT devices, real-time analytics applications, and the proliferation of data-intensive use cases. As organizations continue to generate and analyze vast amounts of time-series data, the demand for specialized database solutions like Amazon Timestream is expected to rise. With its scalable infrastructure, serverless architecture, and robust feature set, Amazon Timestream is well-positioned to expand its market presence and cater to the evolving data management needs of businesses in the future.
Amazon Timestream is a powerful database technology that companies use to store and analyze time-series data efficiently. By leveraging Amazon Timestream, businesses can gain valuable insights from their data in real-time, making informed decisions quickly and effectively.
Benefits of Amazon Timestream:
1. Scalability: Amazon Timestream offers automatic scaling capabilities, allowing businesses to effortlessly handle growing datasets without the need for manual intervention. Unlike traditional databases, which may require manual partitioning and sharding as data volumes increase, Amazon Timestream can seamlessly scale to accommodate any workload, ensuring optimal performance at all times.
2. Cost-Effectiveness: With Amazon Timestream's pay-as-you-go pricing model, companies only pay for the storage and processing capacity they actually use. This cost-effective approach eliminates the need for upfront investments in hardware and infrastructure, making it an attractive option for businesses looking to optimize their database costs without sacrificing performance.
3. High Performance: Amazon Timestream is optimized for time-series data storage and analytics, offering blazing-fast query performance even on large datasets. Unlike general-purpose databases that may struggle to provide real-time insights from time-series data, Amazon Timestream excels in processing time-sensitive information swiftly and accurately, enabling businesses to extract valuable insights with minimal latency.
By leveraging Amazon Timestream, companies can streamline their time-series data management processes, boost operational efficiency, and gain a competitive edge in today's data-driven marketplace.
Amazon Timestream is a popular database technology used by various companies across different industries. Let's delve into some real-world case studies of companies effectively utilizing Amazon Timestream:
**1. **
Company: HubSpot HubSpot, a leading customer relationship management platform, implemented Amazon Timestream to enhance their data storage and processing capabilities. They started using Amazon Timestream to analyze and store massive amounts of time-series data generated by their marketing and sales activities. By leveraging Amazon Timestream's scalability and high-performance capabilities, HubSpot improved the speed and efficiency of their data analytics processes, enabling them to make data-driven decisions quickly and accurately.
**2. **
Company: Siemens Siemens, a global technology conglomerate, integrated Amazon Timestream into their industrial IoT solutions to capture and analyze real-time sensor data from their manufacturing equipment. By utilizing Amazon Timestream's ability to handle high volumes of time-series data with low latency, Siemens enhanced their predictive maintenance capabilities, enabling them to identify potential equipment failures before they occur. This proactive approach to maintenance not only increased operational efficiency but also reduced downtime and maintenance costs for Siemens.
**3. **
Company: Zynga Zynga, a prominent mobile game developer, adopted Amazon Timestream to optimize their game analytics infrastructure. They started using Amazon Timestream to collect and analyze player interaction data, in-game events, and performance metrics in real-time. By leveraging Amazon Timestream's efficient storage and querying capabilities, Zynga gained valuable insights into player behavior and game performance, enabling them to improve game design, enhance user engagement, and ultimately increase revenue from their games.
These case studies highlight the diverse applications of Amazon Timestream in real-world scenarios, demonstrating its effectiveness in handling time-series data for companies across different sectors.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Amazon Timestream 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 150 aziende che utilizzano Amazon Timestream.
Amazon Timestream è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Mining", "Appliances, Electrical, And Electronics Manufacturing", "It Services And It Consulting", "Machinery Manufacturing", "Wholesale Building Materials", "It Services And It Consulting", "It Services And It Consulting", "Technology, Information And Internet", "It Services And It Consulting", "Manufacturing". Per un elenco completo di tutti i settori che utilizzano Amazon Timestream, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Amazon Timestream includono Martin Engineering, Rointe heating, Hereworks, Carrier Klimatechnik GmbH, Carrier, Ruvos, KLIKA TECH, Applicantz, Storm Reply GmbH, INTRAVIS GmbH e molte altre. Puoi trovare un elenco completo di 150 aziende che utilizzano Amazon Timestream su TheirStack.com.
Secondo i nostri dati, Amazon Timestream è più popolare in Stati Uniti (73 companies), Regno Unito (11 companies), India (7 companies), Spagna (5 companies), Francia (3 companies), Germania (3 companies), Italia (2 companies), Australia (1 companies), Belgio (1 companies), Rep. Ceca (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Amazon Timestream 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.