Data Lakes
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Explore more → **Data Lakes**
What is Data Lakes?
A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure it, and run different types of analytics—from dashboards and visualizations to big data processing, real-time analytics, and machine learning to guide better decisions.
What other technologies are related to Data Lakes?
Data Lakes Competitor Technologies
Data Warehouses
Data warehouses are a structured data repository designed for analysis and reporting. Historically, they have been a primary alternative to data lakes for business intelligence, although lakehouses are now converging the two.
Warehouses
Warehouses is a shorthand term for Data Warehouses. Historically, they have been a primary alternative to data lakes for business intelligence, although lakehouses are now converging the two.
Data Marts
Data marts are smaller, focused data warehouses, often department-specific. While they can coexist with data lakes, they represent an alternative approach to data organization for specific analytical needs.
Data Warehousing
Data warehousing is the practice of designing and using a data warehouse. Historically, they have been a primary alternative to data lakes for business intelligence, although lakehouses are now converging the two.
Lakehouses
Lakehouses attempt to combine the benefits of data lakes and data warehouses into a single system. Therefore they compete with pure Data Lake solutions.
Data Lakehouses
Data Lakehouses attempt to combine the benefits of data lakes and data warehouses into a single system. Therefore they compete with pure Data Lake solutions.
Data Warehouse
Data warehouses are a structured data repository designed for analysis and reporting. Historically, they have been a primary alternative to data lakes for business intelligence, although lakehouses are now converging the two.
Number of organizations that mention technology
3,803
Data Lakes
2,034
Data Warehouses
188
Warehouses
885
Data Marts
5,749
Data Warehousing
129
Lakehouses
94
Data Lakehouses
7,413
Data Warehouse
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Data Lakes Complementary Technologies
batch/real-time event processing
No summary available
Data lakes often serve as the repository for data processed in batch or real-time event processing systems. These processing frameworks are crucial for ingesting and transforming data within a data lake.
Data Governance
Data governance is essential for managing data quality, security, and compliance within a data lake. It helps ensure that the data lake is a reliable and trustworthy source of information.
ETL
ETL (Extract, Transform, Load) is a common process for preparing data for a data warehouse. It is often used to ingest data into a data lake, although ELT is becoming more common.
Number of organizations that mention technology
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Which job functions commonly mention Data Lakes?
Data Architect
1.8% of all Data Architect jobs mention Data Lakes
View 763
jobs on Sumble
Data Engineer
0.6% of all Data Engineer jobs mention Data Lakes
View 1.9k
jobs on Sumble
Data, Analytics & Machine Learning
0.1% of all Data, Analytics & Machine Learning jobs mention Data Lakes
View 2.3k
jobs on Sumble
Software Engineer
0.1% of all Software Engineer jobs mention Data Lakes
View 4.2k
jobs on Sumble
Engineer
4544 Engineer jobs mention Data Lakes
View 4.5k
jobs on Sumble
Which organizations are mentioning Data Lakes?
Johnson & Johnson
Health Care and Social Assistance
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