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
Unternehmen
Wir haben Daten zu 494 Unternehmen, die TimescaleDB verwenden. Unsere TimescaleDB Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
Timescale | Vereinigte Staaten | Software Development | 145 | |
GreenPocket GmbH | Deutschland | It Services And It Consulting | 38 | $260K |
Innovative Refrigeration Systems | Vereinigte Staaten | Construction | 201 | $31M |
DomainTools | Vereinigte Staaten | Computer And Network Security | 134 | $16M |
envelio GmbH | Deutschland | It Services And It Consulting | 96 | $3M |
Keyrock | Belgien | Financial Services | 155 | $1M |
Wärtsilä | Finnland | Industrial Machinery Manufacturing | 18K | $6.5B |
AllofE Solutions | Vereinigte Staaten | Software Development | 11 | $16M |
Freeform | Vereinigte Staaten | Automation Machinery Manufacturing | 52 | |
Impuls Energy Trading GmbH | Deutschland | Electric Power Generation | 15 | |
Arable Labs, Inc. | Vereinigte Staaten | Farming | 97 | $10M |
Memfault | Vereinigte Staaten | It Services And It Consulting | 78 | $3.2M |
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TimescaleDB wird in 24 Ländern verwendet
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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.
Sie können eine aktuelle Liste von Unternehmen, die TimescaleDB verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 494 Unternehmen, die TimescaleDB verwenden.
TimescaleDB wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "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", verwendet. Für eine umfassende Liste aller Branchen, die TimescaleDB nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die TimescaleDB verwenden, umfassen Timescale, GreenPocket GmbH, Innovative Refrigeration Systems, DomainTools, envelio GmbH, Keyrock, Wärtsilä, AllofE Solutions, Freeform, Impuls Energy Trading GmbH und viele mehr. Sie können eine vollständige Liste von 494 Unternehmen, die TimescaleDB nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist TimescaleDB am beliebtesten in Vereinigte Staaten (180 companies), Vereinigtes Königreich (44 companies), Frankreich (31 companies), Deutschland (23 companies), Niederlande (18 companies), Kanada (12 companies), Indien (12 companies), Finnland (6 companies), Spanien (5 companies), Schweiz (5 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die TimescaleDB verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.