Data Lakes Insights

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.

Find organizations using Data Lakes on Sumble →

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.

mentioned alongside Data Lakes in 40% (1.7k) of relevant job posts

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.

mentioned alongside Data Lakes in 69% (197) of relevant job posts

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.

mentioned alongside Data Lakes in 25% (387) of relevant job posts

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.

mentioned alongside Data Lakes in 7% (1.1k) of relevant job posts

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.

mentioned alongside Data Lakes in 61% (120) of relevant job posts

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.

mentioned alongside Data Lakes in 43% (85) of relevant job posts

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.

mentioned alongside Data Lakes in 3% (552) of relevant job posts

Data Lakes Complementary Technologies

batch/real-time event processing

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.

mentioned alongside Data Lakes in 100% (59) of relevant job posts

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.

mentioned alongside Data Lakes in 6% (428) of relevant job posts

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.

mentioned alongside Data Lakes in 1% (1.6k) of relevant job posts