An end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps.
620
aziende
Abbiamo dati su 620 aziende che usano StreamSets. La nostra lista di clienti StreamSets 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 |
---|---|---|---|---|
Optiv | Stati Uniti | Computer And Network Security | 2.5K | $650M |
iSenpai | Stati Uniti | Computer And Network Security | 51 | $32M |
Open Systems Technologies Corporation | Stati Uniti | It Services And It Consulting | 103 | $12M |
Software AG | Germania | Software Development | 5K | $1B |
Aon Corporation | Regno Unito | Insurance Agencies And Brokerages | 56K | $12B |
Diné Development Corporation | Stati Uniti | Executive Offices | 501 | |
Securian Financial Group | Stati Uniti | Insurance | 5K | $6.6B |
Morlogic | Stati Uniti | 7 | ||
Planned Parenthood of Orange and San Bernardino Counties | Stati Uniti | Civic And Social Organizations | 7.8K | $1.6B |
Securian Financial | Stati Uniti | Financial Services | 3.1K | |
Booz Allen Hamilton | Stati Uniti | It Services And It Consulting | 39K | $8.1B |
Evergreen Technologies, LLC. | Stati Uniti | Professional Services | 22 |
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Statistiche sull'Uso delle Tecnologie e Quota di Mercato
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StreamSets è utilizzata in 26 paesi
Ci sono 41 alternative a StreamSets
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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.
StreamSets is a powerful technology in the realm of data integration and data engineering. It offers a comprehensive platform designed to streamline the process of moving and processing large volumes of data, both in real-time and batch modes. StreamSets provides users with a robust set of tools that enable them to efficiently ingest, transform, and deliver data across various systems and applications.
In the category of Message Queue technologies, StreamSets stands out for its ability to facilitate seamless data movement between disparate systems. Message Queues are essential components in distributed systems, enabling asynchronous communication between different microservices or applications. StreamSets enhances this functionality by providing a user-friendly interface and advanced features that simplify the management of message queues and optimize data flow.
Founded in 2014 by Girish Pancha and Arvind Prabhakar, StreamSets originated from the founders' experiences in dealing with data integration challenges at scale. Their motivation was to create a solution that could address the growing complexity of data pipelines and provide organizations with a flexible and reliable platform for managing their data workflows. Since its inception, StreamSets has gained traction in the industry due to its innovative approach to data integration.
Currently, StreamSets holds a notable market share within the Message Queue technology category. As organizations increasingly rely on data-driven insights to make informed decisions, the demand for efficient data integration tools like StreamSets is expected to grow. With its reputation for high performance and ease of use, StreamSets is well-positioned to expand its market share and solidify its presence in the data integration landscape in the foreseeable future.
StreamSets is a popular choice for companies looking to streamline their data integration processes efficiently. Its cutting-edge technology in the Message Queue category provides numerous benefits that set it apart from other similar technologies.
StreamSets offers robust data pipeline capabilities, empowering companies to efficiently move data from various sources to destinations without any downtime or data loss. Unlike traditional data integration tools, StreamSets provides real-time monitoring and error handling features, ensuring smooth and uninterrupted data flow.
One of the key advantages of StreamSets is its scalability and performance optimization. Companies can easily scale their data pipelines based on their evolving needs without compromising on performance. Unlike legacy systems that struggle with scalability issues, StreamSets ensures high-speed data processing even with large datasets.
StreamSets simplifies complex data integration tasks through its intuitive user interface and drag-and-drop functionalities. This user-friendly approach eliminates the need for extensive coding, making it easier for business users to manage data operations effectively. Compared to traditional data integration tools that require coding expertise, StreamSets offers a more straightforward and efficient solution.
StreamSets enables real-time data processing, allowing companies to make data-driven decisions instantaneously. By processing data in real-time, organizations can gain valuable insights faster and respond promptly to changing market dynamics. This real-time capability gives StreamSets a competitive edge over technologies that rely on batch processing, providing companies with a more agile and responsive data integration solution.
StreamSets is a popular technology used by many companies in the Message Queue category to efficiently manage their data pipelines. Here are some real-world case studies showcasing how companies leverage StreamSets for their data integration needs:
1. Uber: Uber, a global transportation technology company, utilizes StreamSets to streamline their data ingestion processes. They started using StreamSets in 2017 to handle the high volume of real-time data generated by their ride-hailing services. By implementing StreamSets, Uber was able to enhance data quality, improve ETL processes, and achieve greater operational efficiency in managing their data pipelines.
2. Intel: Intel, a leading semiconductor manufacturing company, adopted StreamSets to enhance their data processing capabilities. Intel integrated StreamSets into their data infrastructure in 2016 to optimize the flow of data across various systems and applications. With StreamSets, Intel was able to automate data ingestion, ensure data accuracy, and reduce processing delays, ultimately improving their overall data operations.
3. LinkedIn: LinkedIn, the popular professional networking platform, relies on StreamSets to manage the flow of data within its ecosystem. LinkedIn started using StreamSets in 2018 to enhance data integration between different departments and systems. By leveraging StreamSets, LinkedIn improved data quality, accelerated data processing times, and simplified the management of complex data pipelines, enabling better decision-making based on real-time insights.
These case studies highlight how prominent companies like Uber, Intel, and LinkedIn successfully leverage StreamSets to optimize their data integration processes, enhance data quality, and drive data-driven decision-making across their organizations.
Puoi accedere a un elenco aggiornato di aziende che utilizzano StreamSets 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 620 aziende che utilizzano StreamSets.
StreamSets è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Computer And Network Security", "Computer And Network Security", "It Services And It Consulting", "Software Development", "Insurance Agencies And Brokerages", "Executive Offices", "Insurance", "Civic And Social Organizations", "Financial Services". Per un elenco completo di tutti i settori che utilizzano StreamSets, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano StreamSets includono Optiv, iSenpai, Open Systems Technologies Corporation, Software AG, Aon Corporation, Diné Development Corporation, Securian Financial Group, Morlogic, Planned Parenthood of Orange and San Bernardino Counties, Securian Financial e molte altre. Puoi trovare un elenco completo di 620 aziende che utilizzano StreamSets su TheirStack.com.
Secondo i nostri dati, StreamSets è più popolare in Stati Uniti (311 companies), Regno Unito (34 companies), India (25 companies), Canada (12 companies), Australia (11 companies), Brasile (9 companies), Francia (8 companies), Germania (6 companies), Spagna (5 companies), Svizzera (5 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano StreamSets 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.