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Top Data Lake Companies in Germany

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60 companies for Data Lake in Germany

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Sopera's Logo

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's Logo

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's Logo

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's Logo

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's Logo

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's Logo

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's Logo

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's Logo

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's Logo

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's Logo

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


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Information about Data Lake in Germany

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.


Insights about the Data Lake results above

Some interesting numbers and facts about your company results for Data Lake

Country with most fitting companiesGermany
Amount of fitting manufacturers236
Amount of suitable service providers198
Average amount of employees51-100
Oldest suiting company2005
Youngest suiting company2022

Frequently asked questions (FAQ) about Data Lake Companies

Some interesting questions that has been asked about the results you have just received for Data Lake

Based on our calculations related technologies to Data Lake are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

Start-Ups who are working in Data Lake are dltHub

The most represented industries which are working in Data Lake are IT, Software and Services, Other, Consulting, Environment, Disposal and Recycling, Research

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Data Lake results by various countries

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