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1,269개의 회사가 Modern Data Stack를 사용하는 데이터가 있습니다. 이 정리된 목록은 다운로드 가능하며, 산업 분류, 조직 규모, 지리적 위치, 자금 조달 라운드, 수익 수치 등을 포함한 중요한 회사 정보로 풍부하게 구성되어 있습니다.
회사 | 나라 | 산업 | 직원 | 수익 |
---|---|---|---|---|
Fivetran | 미국 | Software Development | 1.3K | $12M |
dbt Labs | 미국 | Software Development | 462 | $11M |
sikwel GmbH | 이탈리아 | It Services And It Consulting | 1 | |
Atlan | 미국 | Software Development | 346 | $3M |
Snowplow Analytics | 영국 | It Services And It Consulting | 160 | $12M |
Twilio | 미국 | Software Development | 8.6K | $2.8B |
Tatari | 미국 | Advertising Services | 291 | $10M |
CLEAR | 미국 | Consumer Services | 2K | |
Metaplane | 미국 | It Services And It Consulting | 35 | |
Xometry Inc. | 미국 | It Services And It Consulting | 590 | $303M |
Ebury | 영국 | Financial Services | 1.6K | $300M |
Astronomer | 미국 | Software Development | 285 | $11M |
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가입 후 1,269 회사의 전체 목록을 다운로드하세요.
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기술 사용 통계 및 시장 점유율
이 데이터를 지리, 산업, 회사 규모, 수익, 기술 사용, 직무 및 기타 조건으로 필터링하여 필요에 맞게 맞춤화할 수 있습니다. 데이터를 Excel 또는 CSV 형식으로 다운로드할 수 있습니다.
이 데이터를 위한 알림을 받을 수 있습니다. 관심 있는 기술을 선택하면, 그 기술을 사용하는 새로운 회사가 있을 때 받은 편지함에서 알림을 받게 됩니다.
데이터를 Excel 파일로 내보낼 수 있으며, 이를 CRM에 가져올 수 있습니다. 또한 데이터를 API로 내보낼 수도 있습니다.
Modern Data Stack 대안이 -1가지 있습니다
Modern Data Stack는 42 국가에서 사용되고 있습니다.
자주 묻는 질문
우리의 데이터는 수백만 개의 회사에서 수집된 채용 공고에서 출처를 얻습니다. 우리는 이러한 공고를 회사 웹사이트, 구인 게시판, 기타 채용 플랫폼에서 모니터링합니다. 채용 공고 분석은 회사들이 사용하는 기술과 내부 도구의 사용을 이해하는 신뢰할 수 있는 방법을 제공합니다.
우리는 최신 정보를 제공하기 위해 데이터를 매일 갱신합니다. 이 빈번한 업데이트 과정은 우리의 인사이트와 지능이 업계 내 최신 동향과 발전을 반영하도록 보장합니다.
The Modern Data Stack represents a cutting-edge approach to managing and analyzing data within organizations. It encompasses a set of tools and technologies that enable businesses to streamline their data infrastructure, making it more agile, scalable, and efficient. By leveraging the Modern Data Stack, companies can centralize their data sources, perform advanced analytics, and derive valuable insights to drive informed decision-making.
In the realm of data management technologies, the Modern Data Stack falls under the category of "Other," distinguishing itself from traditional data warehousing solutions and newer trends like Data Lakes and Data Mesh. This category encapsulates a diverse array of tools and platforms designed to handle the complexities of modern data ecosystems, ranging from data ingestion and transformation to visualization and reporting.
The Modern Data Stack concept began to gain traction in the mid-2010s, pioneered by innovative tech companies seeking better ways to manage their rapidly growing data volumes. Early adopters like Fivetran, dbt, and Snowflake played a pivotal role in shaping the landscape of the Modern Data Stack by developing tools that addressed the shortcomings of legacy systems and promoted a more agile and collaborative approach to data analytics.
Currently, the Modern Data Stack holds a significant market share within the data management landscape, with a growing number of organizations embracing its principles and adopting related technologies. As businesses continue to prioritize data-driven strategies and seek more efficient ways to harness the power of their data, the Modern Data Stack is poised for further expansion. Market forecasts indicate a positive trajectory for the Modern Data Stack, with an increasing number of companies expected to invest in these technologies to drive innovation and gain a competitive edge.
Modern Data Stack is revolutionizing the way companies manage and analyze their data. By leveraging cutting-edge technologies, it offers a comprehensive solution that streamlines data operations, enhances analytics capabilities, and drives better decision-making processes.
Modern Data Stack simplifies the process of integrating data from various sources by providing seamless connectivity and automated workflows. Unlike traditional systems that require manual interventions and multiple tools, Modern Data Stack ensures efficiency and accuracy in data integration, saving time and resources for companies.
With Modern Data Stack, companies can scale their data infrastructure easily to accommodate growing data volumes and business needs. The flexibility and scalability of this technology enable organizations to adapt to changing requirements without major disruptions or investments, making it a cost-effective solution for long-term data management.
Modern Data Stack empowers companies with advanced analytics capabilities, including real-time data processing, predictive analytics, and machine learning integration. By harnessing these capabilities, organizations can derive valuable insights from their data efficiently and make informed decisions faster than ever before.
Modern Data Stack prioritizes data security by implementing robust encryption protocols, access controls, and monitoring mechanisms. Compared to traditional data systems that may have vulnerabilities, Modern Data Stack offers a more secure environment for sensitive data, ensuring compliance with data protection regulations and safeguarding critical information.
By centralizing data access and fostering collaboration among teams, Modern Data Stack enhances communication and decision-making processes across the organization. Its intuitive interfaces and shared dashboards enable seamless information sharing, promoting teamwork and alignment towards common business goals.
Some companies that use the Modern Data Stack include Spotify, Airbnb, and Uber. These companies have leveraged this technology to optimize their data processes and drive better business decisions. Let's take a look at some case studies of companies successfully implementing the Modern Data Stack:
Spotify
Spotify utilizes the Modern Data Stack to manage their vast amount of user data efficiently. By integrating tools like Snowflake for data warehousing and dbt for transformation, Spotify has streamlined its data pipeline and enhanced data analytics capabilities. They began implementing the Modern Data Stack in 2018, leading to faster insights and improved decision-making processes.
Airbnb
Airbnb harnesses the power of the Modern Data Stack to analyze customer behavior patterns and enhance personalized recommendations. Using tools like Apache Airflow for workflow management and Looker for data visualization, Airbnb started using the Modern Data Stack in 2017. This has enabled them to drive targeted marketing campaigns and provide a seamless user experience.
Uber
Uber relies on the Modern Data Stack to handle its extensive ride and user data effectively. By adopting technologies like BigQuery for data querying and Stitch for data integration, Uber has achieved real-time data processing and reporting capabilities. They implemented the Modern Data Stack in 2016, leading to improved operational efficiency and strategic decision-making.
These case studies highlight the diverse applications and benefits of the Modern Data Stack for companies across different industries. By embracing this technology, businesses can enhance data-driven decision-making, gain valuable insights, and stay competitive in the ever-evolving market landscape.
TheirStack.com를 방문하여 Modern Data Stack를 사용하는 회사의 최신 목록에 접근할 수 있습니다. 우리의 플랫폼은 다양한 기술과 내부 도구를 사용하는 회사들의 포괄적인 데이터베이스를 제공합니다.
현재 우리는 Modern Data Stack을 사용하는 1,269 개 회사에 대한 데이터를 보유하고 있습니다.
Modern Data Stack은(는) "Software Development", "Software Development", "It Services And It Consulting", "Software Development", "It Services And It Consulting", "Software Development", "Advertising Services", "Consumer Services", "It Services And It Consulting", "It Services And It Consulting"을(를) 포함한 다양한 산업 분야의 조직에 의해 사용됩니다. Modern Data Stack을(를) 사용하는 모든 산업의 포괄적인 목록은 TheirStack.com을 방문해 주세요.
Modern Data Stack을 사용하는 회사 중에는 Fivetran, dbt Labs, sikwel GmbH, Atlan, Snowplow Analytics, Twilio, Tatari, CLEAR, Metaplane, Xometry Inc. 등이 있습니다. Modern Data Stack을 사용하는 1,269개의 회사 목록은 TheirStack.com에서 확인할 수 있습니다.
우리 데이터에 따르면, Modern Data Stack는 미국 (575 companies), 영국 (115 companies), 프랑스 (49 companies), 독일 (47 companies), 캐나다 (33 companies), 오스트레일리아 (20 companies), 스페인 (20 companies), 인도 (17 companies), 브라질 (14 companies), 네덜란드 (14 companies)에서 가장 인기가 많습니다. 그러나, 그것은 전 세계의 기업들에 의해 사용되고 있습니다.
TheirStack.com에서 Modern Data Stack을 사용하고 있는 회사를 검색하여 찾을 수 있습니다. 우리는 수백만 개의 회사에서 올라온 채용 공고를 추적하여 그들이 사용하는 기술과 내부 도구를 발견합니다.