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Top Data Lake Companies in United States

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60 companies for Data Lake in United States

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Databricks Ventures's Logo

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.

Qubole's Logo

Qubole

United States

B

251-500 Employees

2011

Key takeaway

Qubole, an Idera Inc company, offers a simple and secure data lake platform designed for machine learning, streaming, and ad-hoc analytics, providing end-to-end services that streamline data management and analytics. With a focus on cost-efficiency and flexibility, Qubole supports organizations in leveraging their data assets for real-time insights and historical analysis, making it a valuable solution for modern data architecture and big data integration.

Reference

Product

Cloud Data Lake | Solutions | Qubole

Qubole is a big data integration and data lake platform that provides comprehensive solutions for all types of cloud data lake projects.

Fast Forward Labs's Logo

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.

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WinterCorp's Logo

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

Zeblok Computational Inc.'s Logo

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.

Lentiq's Logo

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.

Exist Management LLC (ExistBI)'s Logo

Exist Management LLC (ExistBI)

Los Angeles, United States

B

51-100 Employees

2008

Key takeaway

Exist Management LLC (ExistBI) offers specialized Data Lake solutions and consulting services that enable organizations to store and manage diverse data sources effectively. Their expertise helps clients create a centralized location for data, ensuring accessibility and supporting informed business decisions.

Reference

Product

Data Lake Consulting Services | Data Lake Solution

Our Data Lake solutions and Data Lake consulting services help create a location to store structurally and spatially heterogeneous data sources with complex storage modes reliably. These data sources would then be accessible at any time to help support your optimal business decisions.

PSSC Labs's Logo

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.

Activeloop's Logo

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

CloudBasic's Logo

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)


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Information about Data Lake in United States

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.


Insights about the Data Lake results above

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

Country with most fitting companiesUnited States
Amount of fitting manufacturers2563
Amount of suitable service providers2352
Average amount of employees11-50
Oldest suiting company1986
Youngest suiting company2019

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

The most represented industries which are working in Data Lake are IT, Software and Services, Other, Consulting, Finance and Insurance, Marketing Services

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Data Lake results by various countries

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