keep logo
keep
★ 12.4k
vs
lakevision logo
lakevision
★ 52

keep vs lakevision

keep: Keep is an open-source AIOps and alert management platform designed to unify all your alerts and incidents. It offers a single pane of glass for alert deduplication, enrichment, filtering, correlation, and bi-directional integrations with various monitoring tools.; lakevision: Lakevision is a comprehensive tool designed to provide deep insights into Data Lakehouses built on the Apache Iceberg table format. It allows users to explore namespaces, tables, schemas, properties, and change history, facilitating efficient data governance and understanding.

01

TL;DR

keep logo
keepObservability · ★ 12.4k

Centralizing and managing alerts from diverse monitoring systems.

lakevision logo
lakevisionObservability · ★ 52

Quickly understand the data layout, file locations, and change history within an Apache Iceberg-based Data Lakehouse.

02

Side-by-Side Comparison

Field
keep logokeep
lakevision logolakevision
Category
Observability
Observability
Stars
★ 12.4k
★ 52
License
NOASSERTION
Apache-2.0
Install Command
git clone https://github.com/keephq/keep.git
git clone https://github.com/lakevision-project/lakevision.git && cd lakevision && docker build -t lakevision:1.0 . && docker run --env-file .env -p 8081:8081 lakevision:1.0 /app/start.sh
Updated
1d ago
1mo ago
Open Source
Yes
Yes
Tags
AIOps, Alert Management, Incident Response
Data Lakehouse, Apache Iceberg, Data Catalog
03

Features

keep logokeep
01Single pane of glass for all alerts and incidents with customizable UI.
02Comprehensive alert processing including deduplication, correlation, filtering, and enrichment.
03Deep bi-directional integrations with monitoring tools and customizable workflows.
04Automation capabilities, akin to GitHub Actions, for monitoring tasks.
05AIOps 2.0 with AI-powered correlation and summarization for incidents.
lakevision logolakevision
01Search and view all namespaces and tables, including their schema, properties, partition specs, and snapshots.
02Graphical summary of record additions over time and detailed partition information like record count, file count, and size.
03Lakehouse Health Feature for running, scheduling, and monitoring data quality and health checks.
04OIDC/OAuth-based authentication support and pluggable authorization for secure access control.
05Optional "Chat with Lakehouse" capability using an LLM.
04

Use Cases

keep logokeep
↳Centralizing and managing alerts from diverse monitoring systems.
↳Automating incident response workflows and reducing alert fatigue.
↳Leveraging AI for intelligent alert correlation and incident summarization.
lakevision logolakevision
↳Quickly understand the data layout, file locations, and change history within an Apache Iceberg-based Data Lakehouse.
↳Implement and monitor data quality standards and health checks across your lakehouse environment.
↳Securely manage and govern data access by integrating OIDC/OAuth authentication and custom authorization plugins.
↳Explore and analyze table-level metadata, such as schemas, partition details, and snapshots, for data management tasks.
↳Deploy a robust data lakehouse observability solution on Kubernetes or OpenShift for production environments.
05

Best For

keep logokeep
Most PopularEssentialTrending
lakevision logolakevision
—
FAQ

FAQ

What is the difference between keep and lakevision?
Both keep and lakevision are in the Observability category. keep has 12.4k stars, while lakevision has 52 stars.
Which is better, keep or lakevision?
The best choice depends on your use case. Choose keep if Centralizing and managing alerts from diverse monitoring systems., and lakevision if Quickly understand the data layout, file locations, and change history within an Apache Iceberg-based Data Lakehouse..
Is keep free or open source?
Yes, keep is open source on GitHub (NOASSERTION).
Is lakevision free or open source?
Yes, lakevision is open source on GitHub (Apache-2.0).
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