Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
|
It is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases of The Apache Software Foundation
1,894
aziende
Abbiamo dati su 1,894 aziende che usano Sqoop. La nostra lista di clienti Sqoop 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 |
---|---|---|---|---|
General Motors | Stati Uniti | Motor Vehicle Manufacturing | 167K | $161B |
Amazon Web Services, Inc. | Stati Uniti | It Services And It Consulting | 1.5M | $3M |
Bank of America | Stati Uniti | Banking | 208K | |
Virtusa | Stati Uniti | It Services And It Consulting | 18K | |
Visa | Stati Uniti | It Services And It Consulting | 26K | $31B |
Scotiabank | Canada | Banking | 92K | $26B |
Citi | Stati Uniti | Financial Services | 200K | $75B |
UnitedHealth Group | Stati Uniti | Hospitals And Health Care | 380K | $336B |
Braintrust | Stati Uniti | Technology, Information And Internet | 281 | $15M |
Lowe's | Stati Uniti | Retail Furniture And Home Furnishings | 300K | $97B |
Optum | Stati Uniti | Hospitals And Health Care | 83K | |
TD Bank | Stati Uniti | Banking | 83K | $34B |
Vuoi scaricare l'intera lista?
Iscriviti e scarica l'elenco completo delle 1,894 aziende
Loading countries...
Loading other techonlogies...
Statistiche sull'Uso delle Tecnologie e Quota di Mercato
Puoi personalizzare questi dati secondo le tue necessità, filtrando per geografia, settore, dimensione dell'azienda, fatturato, uso della tecnologia, posizioni lavorative e altro ancora. Puoi scaricare i dati in formato Excel o CSV.
Puoi ricevere avvisi per questi dati. Puoi iniziare selezionando la tecnologia che ti interessa e poi riceverai avvisi nella tua casella di posta quando ci sono nuove aziende che utilizzano quella tecnologia.
Puoi esportare i suoi dati in un file Excel, che può essere importato nel tuo CRM. Puoi anche esportare i dati in un'API.
Sqoop è utilizzata in 44 paesi
Ci sono 102 alternative a Sqoop
12,6k
4,1k
4,1k
3,4k
2,6k
2k
1,8k
1,7k
1,6k
1k
963
930
785
743
728
527
489
459
334
273
265
231
202
177
169
164
155
146
144
105
100
85
83
77
72
65
63
61
58
55
52
39
38
36
27
26
25
25
23
19
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.
Sqoop is a widely used technology in the realm of Database Tools, offering crucial functionality for data transfer between Apache Hadoop and structured data stores such as relational databases. It acts as a robust tool for efficiently moving large volumes of data in and out of Hadoop eco-systems, facilitating seamless integration and processing. Sqoop's primary objective is to simplify the data transfer process, enabling organizations to handle vast amounts of information swiftly and effectively.
Sqoop falls under the category of Database Tools, focusing specifically on data transfer capabilities. It streamlines the transfer of large datasets between Hadoop and relational databases, providing a reliable mechanism for importing and exporting data seamlessly. As organizations increasingly rely on big data analytics, Sqoop plays a vital role in ensuring the smooth flow of information across different platforms, contributing to enhanced decision-making processes and operational efficiency.
Sqoop was founded in 2009 by a team at Cloudera, a prominent player in the big data and analytics space. The motivation behind the development of Sqoop stemmed from the need to address the challenges associated with handling massive volumes of data efficiently. By creating a tool that could facilitate seamless data transfer between Hadoop and traditional relational databases, the founders aimed to simplify data processing workflows and empower organizations to leverage big data effectively.
Currently, Sqoop maintains a considerable market share within the Database Tools segment, owing to its established reputation for streamlining data transfer processes. With the continuous proliferation of big data applications across industries, Sqoop is poised to experience further growth in the coming years. As organizations continue to prioritize data-driven decision-making and advanced analytics, Sqoop is expected to play a critical role in enabling seamless data integration and transfer, solidifying its position in the market.
Sqoop is a popular choice for companies when it comes to handling data transfer between Apache Hadoop and structured data stores such as relational databases. Its seamless integration and robust functionality make it a valuable tool for extracting, transforming, and loading data efficiently.
Benefits of using Sqoop include:
Sqoop enables fast and reliable transfer of large volumes of data between Hadoop and relational databases. Its parallel processing capabilities allow for accelerated data transfer compared to manual methods, saving valuable time and resources.
By automating the data transfer process, Sqoop reduces the need for manual intervention, minimizing the risk of errors and ensuring consistency in data transfers. This automation feature sets Sqoop apart from traditional data transfer methods that are more prone to human error.
Sqoop is designed to handle scalability effectively, making it ideal for businesses dealing with increasing amounts of data. Its ability to scale seamlessly with growing data needs makes it a preferred choice over other tools that may struggle to maintain performance under heavy workloads.
Sqoop seamlessly integrates with the broader Hadoop ecosystem, allowing for seamless connectivity with various data sources and tools. This level of integration provides companies with a more cohesive and comprehensive data management solution compared to standalone data transfer tools.
In summary, companies choose Sqoop for its efficiency in data transfer, automation capabilities, scalability, and seamless integration within the Hadoop ecosystem, making it a reliable choice for handling data transfer tasks in the Database Tools category.
Sure, here are some case studies showcasing companies that are actively using Sqoop in their tech stack for data integration:
Uber: Uber is one of the most well-known companies that extensively uses Sqoop for their data integration needs. Uber started incorporating Sqoop several years ago to streamline the process of transferring data between their various databases and Hadoop. By utilizing Sqoop, Uber has been able to automate the import and export of large datasets, improving their data processing efficiency significantly. This integration has also helped Uber in reducing manual errors and optimizing their data pipelines for better performance.
LinkedIn: LinkedIn, a leading professional networking platform, also relies on Sqoop for its data integration tasks. LinkedIn began leveraging Sqoop to extract data from their relational databases into Hadoop for deeper analysis and reporting purposes. The integration of Sqoop has enabled LinkedIn to transfer vast amounts of data seamlessly and efficiently, facilitating their data-driven decision-making processes. Additionally, the use of Sqoop at LinkedIn has helped in maintaining data consistency across different systems and scaling their data operations effectively.
Twitter: Twitter is another prominent company that benefits from utilizing Sqoop in their tech infrastructure for data integration. Twitter adopted Sqoop to enable smooth data transfers between their databases and Hadoop environment. By incorporating Sqoop into their data workflows, Twitter has enhanced their capability to handle large volumes of data and perform ETL (Extract, Transform, Load) processes more effectively. The integration of Sqoop at Twitter has facilitated faster data processing, improved data quality, and enhanced overall data accessibility for their analytical teams.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Sqoop 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 1,894 aziende che utilizzano Sqoop.
Sqoop è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Motor Vehicle Manufacturing", "It Services And It Consulting", "Banking", "It Services And It Consulting", "It Services And It Consulting", "Banking", "Financial Services", "Hospitals And Health Care", "Technology, Information And Internet", "Retail Furniture And Home Furnishings". Per un elenco completo di tutti i settori che utilizzano Sqoop, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Sqoop includono General Motors, Amazon Web Services, Inc., Bank of America, Virtusa, Visa, Scotiabank, Citi, UnitedHealth Group, Braintrust, Lowe's e molte altre. Puoi trovare un elenco completo di 1,894 aziende che utilizzano Sqoop su TheirStack.com.
Secondo i nostri dati, Sqoop è più popolare in Stati Uniti (801 companies), India (120 companies), Regno Unito (64 companies), Francia (50 companies), Canada (46 companies), Spagna (39 companies), Australia (28 companies), Brasile (28 companies), Singapore (23 companies), Messico (12 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Sqoop 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.