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Sopera
Bonn, Germany
A
11-50 Employees
-
Key takeaway
Talend specializes in enhancing cloud data lakes, enabling organizations to efficiently ingest and manage their data. With a focus on real-time data integration and trustworthiness, Talend helps businesses transition to agile cloud environments, ultimately supporting their data-driven objectives.
Reference
Product
Talend and Cloud Data Lakes: Real-time Data Integration | Talend
Go from big data evaluation to production up to three times faster. Talend makes it easy to upgrade your cloud data infrastructure.
DATANOMIQ
Berlin, Germany
A
1-10 Employees
2015
Key takeaway
The company, DATANOMIQ, positions itself as a comprehensive provider of data analytics, emphasizing its expertise in creating effective data lakes through methodologies from Big Data engineering, which enhances data readiness.
Reference
Service
Data Lake - DATANOMIQ
Mit DATANOMIQ effektiv zum eigenen Data Lake - Eine Methodik aus dem Big Data Engineering für Ihre Data Readiness.
Ankercloud GmbH
Berlin, Germany
A
51-100 Employees
2018
Key takeaway
Ankercloud offers comprehensive Data Lake solutions that enable organizations to efficiently manage and integrate vast amounts of structured and unstructured data. Their expertise in AI and machine learning allows businesses to optimize resource utilization and derive actionable insights, making them a key player in enhancing data-driven decision-making.
Reference
Product
Ankercloud | Data Lake Solutions
Centrally manage all your structured and unstructured data
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dltHub
Berlin, Germany
A
1-10 Employees
2022
Key takeaway
dltHub is focused on empowering Python practitioners to efficiently create and manage datasets through their open-source data load tool (dlt). This tool emphasizes data testability and quality, allowing users to easily transition between development and production environments, making it highly relevant for those interested in data lake solutions.
Reference
Core business
about us
dltHub is the creator of data load tool (dlt)
Zielpuls
Munich, Germany
A
101-250 Employees
2008
Key takeaway
The company is focused on helping organizations unlock valuable insights from their enterprise data lakes, emphasizing the importance of data and AI in driving business growth. Accenture’s expertise in building search and analytics applications enables companies to effectively utilize their data lakes for enhanced decision-making and innovation.
Reference
Service
Enterprise Data Lake Solutions
Accenture helps organizations build search and analytics applications to maximize the use of data in their enterprise data lakes. Read more.
dimajix
Frankfurt, Germany
A
1-10 Employees
2005
Key takeaway
Dimajix is an expert in the Hadoop ecosystem and Apache Spark, with a strong focus on Big Data and Data Lakes.
Reference
Service
Big Data & Data Lakes - Dimajix
DataCater
Schöneck, Germany
A
1-10 Employees
2020
Key takeaway
DataCater provides a streamlined approach to building data pipelines, integrating natively with Apache Kafka to facilitate real-time, cloud-native data management. Its no-code pipeline designer simplifies the process, enabling users to deliver fresh and high-quality data efficiently, which is particularly relevant for organizations looking to enhance their data lake strategies.
Reference
Product
Streaming ETL | DataCater
FIVE1 GmbH & Co.KG
Walldorf, Germany
A
51-100 Employees
2008
Key takeaway
Five1 GmbH specializes in navigating complex data landscapes and offers advanced solutions in data analytics. They highlight the Databricks Lakehouse platform, which integrates the benefits of both data lakes and cloud data warehouses, making it ideal for streaming and collaborative machine learning.
Reference
Product
Databricks Services
Erfahren Sie mehr darüber, wieso die Data Lakehouse Plattform von Databricks perfekt zu den Anforderungen eines Data Mesh passt.
y42
Berlin, Germany
A
51-100 Employees
2020
Key takeaway
Y42 offers a Turnkey Data Orchestration Platform that serves as a unified space for building and maintaining robust data flows, which is essential for effective data management. Their features, such as asset-based orchestration and data dependency linkages, enable users to streamline data transformations and quickly troubleshoot issues, enhancing overall data operations.
Reference
Product
Y42 | We make writing SQL modular, accessible, and uniquely delightful
Model your data quickly and efficiently with Y42. Our Modern DataOps Cloud allows you to leverage the full power of SQL. Transform raw data into human-readable metrics.
Orange Networks
Hamburg, Germany
A
101-250 Employees
-
Key takeaway
The company leverages Microsoft's trusted cloud technology to enhance digitalization and innovation, which is crucial for managing and sharing data effectively. Their expertise in building and monitoring infrastructure can support the development of a robust data lake strategy.
Reference
Product
Cloud Migration Factory
Technologies which have been searched by others and may be interesting for you:
The Data Lake industry in Germany presents a unique landscape shaped by various factors. Regulatory compliance is crucial, as Germany adheres to stringent data protection laws, particularly the General Data Protection Regulation (GDPR). Companies must ensure that their data management practices align with these regulations, which can be complex and demanding. Additionally, the competitive landscape is evolving, with numerous players ranging from established tech giants to innovative startups. Understanding the strengths and weaknesses of these competitors is essential for making informed decisions when researching potential partnerships or investments. Opportunities abound in sectors like finance, healthcare, and manufacturing, where the demand for big data analytics is growing. However, challenges such as data silos, integration issues, and the need for skilled personnel can hinder progress. Environmental concerns are also becoming increasingly relevant, as the energy consumption of large data storage facilities raises sustainability questions. Finally, the global market relevance of data lakes continues to expand, driven by advancements in artificial intelligence and machine learning, which rely heavily on the vast amounts of data stored in these systems. Being aware of these factors will provide valuable insights for anyone interested in navigating the Data Lake industry in Germany.
Some interesting numbers and facts about your company results for Data Lake
Country with most fitting companies | Germany |
Amount of fitting manufacturers | 236 |
Amount of suitable service providers | 198 |
Average amount of employees | 51-100 |
Oldest suiting company | 2005 |
Youngest suiting company | 2022 |
Some interesting questions that has been asked about the results you have just received for Data Lake
What are related technologies to Data Lake?
Based on our calculations related technologies to Data Lake are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Data Lake?
Start-Ups who are working in Data Lake are dltHub
Which industries are mostly working on Data Lake?
The most represented industries which are working in Data Lake are IT, Software and Services, Other, Consulting, Environment, Disposal and Recycling, Research
How does ensun find these Data Lake Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.