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lakeFS is an open-source data lake management platform that offers a Git-like version control system for data lakes. It enables users to create branches, commit changes, and merge data in a controlled and collaborative manner, preventing data loss and ensuring data consistency. lakeFS provides a cloud-based solution and an enterprise option with additional features like RBAC, SSO, and dedicated support.
Major Markets
Key Competitors
Open-source platform offering flexibility and cost-effectiveness.
Provides a Git-like interface familiar to many developers.
Integrates with existing data engineering tools and workflows.
Relatively new company with less market recognition compared to established competitors.
Limited brand awareness among non-technical stakeholders.
The open-source version might not be suitable for organizations requiring advanced security and support.
Expanding partnerships with cloud providers and data management platforms.
Developing industry-specific solutions for healthcare, finance, and other sectors.
Educating the market on the benefits of Git-based version control for data lakes.
Competition from established data management companies with broader product portfolios.
Rapid evolution of the data engineering landscape requiring continuous innovation.
Potential security vulnerabilities in the open-source version if not properly managed.
lakeFS operates within the data management and data engineering domain. It primarily targets businesses that rely heavily on data lakes, such as those in technology, finance, healthcare, and other data-driven industries. lakeFS aims to simplify data management processes and provide reliable version control for organizations working with large datasets.
lakeFS sees its largest user base in the US, followed by India. The UK, Germany and Canada make up the rest of the top 5 markets.
United States
45.2% market share
India
15.7% market share
United Kingdom
8.9% market share
Germany
6.5% market share
Canada
5.2% market share
The target audience for lakeFS is businesses that heavily rely on data lakes for analytics, machine learning, and data-driven decision-making. These businesses come from various industries, including technology, finance, healthcare, and more. They are looking for solutions to improve data quality, streamline data pipelines, and enhance collaboration among data professionals.
Data shown in percentage (%) of usage across platforms
This strategy provides a tailored welcome experience for new users, guiding them through the key features and benefits of lakeFS. This not only helps users get started faster but also increases engagement and reduces churn.
Learn moreThis strategy involves crafting targeted calls-to-action for different types of content, ensuring they align with user intent and encourage specific actions, such as signing up for a trial or downloading a case study.
Learn moreThis strategy presents users with a tool to calculate the potential return on investment from using lakeFS, showcasing its value proposition and quantifying the benefits of adopting the platform.
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