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Databricks Ventures
San Francisco, United States
B
1001-5000 Employees
2013
Key takeaway
Databricks is highlighted as a leader in the data lake space, offering a unique lakehouse platform that integrates the advantages of both data lakes and data warehouses. This approach allows users to unlock the full potential of their data, particularly through Azure Databricks.
Reference
Product
Data Lakehouse Platform – Databricks
Click to learn how to unlock the potential of your data lake with Azure Databricks.
PSSC Labs
Lake Forest, United States
B
11-50 Employees
1986
Key takeaway
PSSC Labs offers a CloudOOP Rax Enterprise Data Lake that simplifies the process of building, deploying, and operating a data lake, all while reducing costs. This solution is designed to meet the needs of organizations looking for high-performance data management.
Reference
Product
Enterprise Data Lake | PSSC Labs
Our CloudOOP Rax Enterprise Data Lake eliminates all of the hassles of building, deploying and operating a data lake, while still reducing expenses.
Zeblok Computational Inc.
Stony Brook, United States
B
11-50 Employees
2019
Key takeaway
Zeblok Computational's Ai-MicroCloud® offers an efficient way to pipeline and comprehend data, which is essential for developing and deploying AI solutions in enterprise processes. Their commitment to innovative AI services and partnerships further enhances their capability in the evolving AI landscape.
Reference
Product
Ai-Data Lake | Zeblok Computational Inc.
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WinterCorp
Dracut, United States
B
11-50 Employees
1992
Key takeaway
The company specializes in architecting data lakes and databases, offering solutions that encompass cloud, hybrid, and on-premises options, making them a key player in the data management landscape. Their expertise in data lake development is highlighted as a critical service for both startups and major enterprises.
Reference
Service
Services
Data Warehouse & Data Lake - Cloud - Hybrid - OnPrem - Streaming Data - IoT - Time Series - AI/ML At Scale
Fast Forward Labs
New York, United States
B
1-10 Employees
2014
Key takeaway
Cloudera offers a comprehensive Data Lake Service that enables organizations to create and maintain secure and governed data lakes across various storage architectures. This service is designed to help businesses efficiently manage and derive real-time insights from their data, driving value and competitive differentiation.
Reference
Product
Data Lake Service | Cloudera
Create safe, secure, and governed data lakes, protecting your data wherever it’s stored, from object stores to Hadoop Distributed File System (HDFS), with Cloudera Data Lake Service.
Lentiq
Chicago, United States
B
1-10 Employees
2019
Key takeaway
Lentiq offers a multi-cloud, production-scale data lake as a service, providing analytics and machine learning teams with essential tools for data ingestion, processing, and sharing. Their collaborative environment enables teams to innovate and manage data across multiple clouds efficiently.
Reference
Core business
Cloud Data Lake Service | Lentiq
Lentiq is a multi-cloud, production-scale data lake as a service that provides data teams or businesses of every size the right analytics and data science tools and technologies.
CloudBasic
Irvine, United States
B
- Employees
2008
Key takeaway
The company specializes in high-availability and disaster recovery solutions, utilizing their Cloudbasic product to streamline big data to data warehouses on AWS and other public clouds. They specifically mention their ability to efficiently stream data to an S3 Data Lake, which is relevant to the query about data lakes.
Reference
Service
RDS/SQL Server-to-S3 Data Lake SCD Types 1-2 data streaming - CLOUDBASIX
With files cataloging (SAS compatible)
Open Lake Consulting
Chicago, United States
B
1-10 Employees
-
Key takeaway
Open Lake Consulting is a firm that specializes in providing data services to various organizations, including nonprofits and government agencies. Their mission is to empower these groups by unlocking the potential of data to enhance their impact.
Reference
Core business
Open Lake Consulting – Data for everyone.
Activeloop
Mountain View, United States
B
11-50 Employees
2018
Key takeaway
Deep Lake, a data lake solution for deep learning, allows users to store and manage diverse datasets, including text, images, and vectors, effectively supporting machine learning projects. It is designed to enhance data processing and visualization, making it a valuable resource for teams working with large datasets.
Reference
Core business
Activeloop | Deep Lake | Data Lake for Deep Learning
Deep Lake. Vector Database for All AI Data. Deploy Anywhere. Fine-Tune Your Models with the #1 Data Loader for PyTorch. Trusted by Google, Intel, & Waymo
A-Cloud Solutions
New York, United States
B
11-50 Employees
-
Key takeaway
The company collaborates with top cloud providers to facilitate the migration of legacy data systems to the cloud.
Reference
Core business
Cloud Solutions Provider
Technologies which have been searched by others and may be interesting for you:
When exploring the Data Lake industry in the United States, several key considerations arise. Regulatory compliance is crucial, as companies must navigate various data protection laws, such as the California Consumer Privacy Act (CCPA) and the Health Insurance Portability and Accountability Act (HIPAA). These regulations influence data management practices and require robust security measures. Challenges include data integration and quality, as organizations often struggle to consolidate diverse data sources into a single repository. Furthermore, ensuring data governance is essential to maintain accuracy and facilitate access while managing user permissions effectively. The competitive landscape is characterized by numerous players, ranging from established tech giants to innovative startups, all vying to offer advanced solutions that meet evolving customer needs. Opportunities abound, particularly with the increasing demand for big data analytics, machine learning, and artificial intelligence applications that leverage Data Lakes for enhanced insights. Environmental concerns are also emerging, as the energy consumption associated with large-scale data storage and processing raises sustainability questions. Companies must consider adopting eco-friendly practices and technologies to mitigate their environmental impact. Lastly, the global market relevance of Data Lakes continues to grow, driven by the need for scalable data solutions across various sectors, including finance, healthcare, and retail. Understanding these dynamics will enable informed decision-making for anyone interested in this industry.
Some interesting numbers and facts about your company results for Data Lake
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 1769 |
| Amount of suitable service providers | 1695 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1986 |
| Youngest suiting company | 2019 |
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
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, Logistics, Supply Chain and Transportation, Marketing Services
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.
