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TimescaleDB: An open-source database built for analyzing time-series data with the power and convenience of SQL — on premise, at the edge, or in the cloud.
494
aziende
Abbiamo dati su 494 aziende che usano TimescaleDB. La nostra lista di clienti TimescaleDB 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 |
---|---|---|---|---|
![]() Timescale | Stati Uniti | Software Development | 145 | |
GreenPocket GmbH | Germania | It Services And It Consulting | 38 | $260K |
Innovative Refrigeration Systems | Stati Uniti | Construction | 201 | $31M |
DomainTools | Stati Uniti | Computer And Network Security | 134 | $16M |
envelio GmbH | Germania | It Services And It Consulting | 96 | $3M |
![]() Keyrock | Belgio | Financial Services | 155 | $1M |
Wärtsilä | Finlandia | Industrial Machinery Manufacturing | 18K | $6.5B |
AllofE Solutions | Stati Uniti | Software Development | 11 | $16M |
![]() Freeform | Stati Uniti | Automation Machinery Manufacturing | 52 | |
Impuls Energy Trading GmbH | Germania | Electric Power Generation | 15 | |
Arable Labs, Inc. | Stati Uniti | Farming | 97 | $10M |
![]() Memfault | Stati Uniti | It Services And It Consulting | 78 | $3.2M |
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TimescaleDB è utilizzata in 24 paesi
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Domande frequenti
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.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
TimescaleDB is an open-source time-series database designed to handle time-series data workloads with ease. It is built on top of PostgreSQL, leveraging its reliability and robustness while enhancing it with time-series specific features. TimescaleDB enables efficient storage and retrieval of time-stamped data, making it ideal for applications that deal with large volumes of time-series data such as IoT, monitoring, and financial analysis.
In the realm of databases, TimescaleDB falls under the category of time-series databases. Time-series databases are optimized for handling data points indexed in time-order, allowing for quick and efficient querying and analysis of time-stamped data. TimescaleDB shines in this category by offering scalability, high performance, and advanced features tailored specifically for time-series data management.
Founded in 2015 by a group of database experts, TimescaleDB was created to address the growing demand for a reliable and efficient time-series database solution. The team behind TimescaleDB recognized the limitations of traditional relational databases in handling time-series data and set out to develop a specialized solution that could meet the unique requirements of time-series workloads. Since its inception, TimescaleDB has gained recognition in the industry for its innovative approach to time-series data management.
In the current market, TimescaleDB has been making significant strides in establishing itself as a key player in the time-series database segment. With a growing user base and adoption by both startups and enterprises, TimescaleDB has been steadily increasing its market share. As the demand for efficient time-series data solutions continues to rise, it is forecasted that TimescaleDB will experience further growth and cement its position as a leading player in the market for time-series databases.
TimescaleDB is a powerful time-series database that companies use to efficiently store and analyze time-series data. With its unique features and capabilities, TimescaleDB has become a preferred choice for businesses looking to harness the power of time-series data effectively.
TimescaleDB offers seamless scalability, allowing companies to easily scale their database as their data grows. Unlike traditional relational databases, TimescaleDB can efficiently handle large volumes of time-series data without compromising performance. This scalability ensures that companies can meet their growing data requirements without facing limitations commonly found in other database technologies.
TimescaleDB provides a wide range of advanced time-series functions that simplify data analysis and processing tasks. From time-bucketing to continuous aggregates, TimescaleDB offers powerful tools that streamline time-series data manipulation, making it easier for companies to derive valuable insights from their data. These functions set TimescaleDB apart from other database technologies by enhancing efficiency and reducing complexity in time-series data operations.
TimescaleDB is designed for optimal performance when handling time-series data, offering accelerated query processing and efficient data storage mechanisms. By optimizing data storage and retrieval for time-series data specifically, TimescaleDB outperforms general-purpose databases in tasks related to time-series data analysis. This optimized performance ensures that companies can process time-series data swiftly and effectively, enabling faster decision-making and enhanced data-driven strategies.
TimescaleDB is a popular time-series database that is used by a variety of companies across different industries to store and analyze time-stamped data efficiently. Here are some real-world case studies of companies that are successfully utilizing TimescaleDB:
Zebra Technologies uses TimescaleDB to manage and analyze the massive amounts of operational data generated by their connected devices across various industries. They started using TimescaleDB in 2018 to improve data processing speeds and gain valuable insights in real-time. By leveraging the scalability and performance capabilities of TimescaleDB, Zebra has been able to enhance their operational efficiency and deliver better services to their customers.
Bit.com, a leading cryptocurrency exchange platform, relies on TimescaleDB to store and query blockchain data effectively. They adopted TimescaleDB in 2019 to handle the high volume of transaction data securely and efficiently. With TimescaleDB’s advanced time-series features, Bit.com can track and analyze market trends, monitor trading activities, and ensure the integrity of their blockchain transactions with ease.
SolarCity, a prominent renewable energy company, harnesses the power of TimescaleDB to monitor and optimize the performance of their solar energy systems across different locations. Since integrating TimescaleDB into their data infrastructure in 2017, SolarCity has been able to store historical energy production data, identify patterns in energy consumption, and forecast future energy demands accurately. This has enabled SolarCity to improve the overall efficiency of their solar installations and provide better services to their customers.
These case studies showcase the versatility and effectiveness of TimescaleDB in helping companies leverage time-series data for strategic decision-making and operational improvements. By choosing TimescaleDB as their database solution, these companies have been able to overcome data management challenges, drive innovation, and achieve their business objectives more efficiently.
Puoi accedere a un elenco aggiornato di aziende che utilizzano TimescaleDB 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 494 aziende che utilizzano TimescaleDB.
TimescaleDB è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Software Development", "It Services And It Consulting", "Construction", "Computer And Network Security", "It Services And It Consulting", "Financial Services", "Industrial Machinery Manufacturing", "Software Development", "Automation Machinery Manufacturing", "Electric Power Generation". Per un elenco completo di tutti i settori che utilizzano TimescaleDB, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano TimescaleDB includono Timescale, GreenPocket GmbH, Innovative Refrigeration Systems, DomainTools, envelio GmbH, Keyrock, Wärtsilä, AllofE Solutions, Freeform, Impuls Energy Trading GmbH e molte altre. Puoi trovare un elenco completo di 494 aziende che utilizzano TimescaleDB su TheirStack.com.
Secondo i nostri dati, TimescaleDB è più popolare in Stati Uniti (180 companies), Regno Unito (44 companies), Francia (31 companies), Germania (23 companies), Paesi Bassi (18 companies), Canada (12 companies), India (12 companies), Finlandia (6 companies), Spagna (5 companies), Svizzera (5 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano TimescaleDB 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.