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About lakeFS

lakeFS is an open-source data lake management platform that transforms your object storage into a Git-like repository. lakeFS enables you to manage your #datalake the way you manage your code. Run parallel pipelines for experimentation and #cicd for your data.

lakeFS features:

- Exabytes scale version control

- Git-like operations: branch, commit, merge, revert

- Zero copy branching for frictionless experiments

- Full reproducibility of data and code

- Pre-commit/merge hooks for data CI/CD

- Instantly revert changes to data

lakeFS works seamlessly with the following data frameworks:

- Hive

- Apache Spark

- Kafka

- mlFlow

- Apache Zeppelin

- Presto

- Hadoop

- Amazon Athena

- Amazon Kinesis

- Jupyter

- Delta Lake

- Apache Iceberg

- Apache Hudi

- DataBricks

- Airflow

Deployable in the cloud or on-prem:

- Google Cloud

- AWS

- Azure

- Minio

- ceph

- and any S3 compatible storage…

Visit the lakeFS homepage at https://lakefs.io/ and its GitHub repo at https://github.com/treeverse/lakeFS

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Latest Video

Iceberg and Beyond: Managing Multimodal Data with lakeFS and Dremio

by lakeFS

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Iceberg and Beyond: Managing Multimodal Data with lakeFS and Dremio

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About RealtimeSubCount.com

RealtimeSubCount.com tracks live YouTube subscriber activity with a faster page shell, local caching, and analytics modules that do not block the main counter from loading. This page is designed to keep the count visible first while the deeper charts and supporting widgets stream in behind it.

FAQ

The page combines cached API data and fast refresh polling to stay responsive while still tracking changes closely. Exact public YouTube counts can lag, but the page updates far more frequently than the default channel view.

The chart appends new subscriber readings every few seconds. That gives you a rolling growth trace instead of a static count snapshot.

Yes. The embed panel on this page includes both the iframe snippet for websites and the direct URL for OBS or other browser-source tools.