arrca-graph logo
arrca-graph
★ 13
vs
lakevision logo
lakevision
★ 52

arrca-graph vs lakevision

arrca-graph: This project provides a live Kubernetes service dependency graph, or service map, built from OpenTelemetry traces and the Kubernetes API. It allows users and LLMs to query service relationships, understand cluster structure, and analyze dependencies for tasks like safe deprecation and blast radius assessment.; 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

arrca-graph logo
arrca-graphObservability · ★ 13

Safely deprecating services by identifying all callers of specific API versions.

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
arrca-graph logoarrca-graph
lakevision logolakevision
Category
Observability
Observability
Stars
★ 13
★ 52
License
Apache-2.0
Apache-2.0
Install Command
REGISTRY=<your-registry> ./deploy.sh
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
4mo ago
1mo ago
Open Source
Yes
Yes
Tags
Kubernetes Observability, Service Dependency Mapping, OpenTelemetry Tracing
Data Lakehouse, Apache Iceberg, Data Catalog
03

Features

arrca-graph logoarrca-graph
01Dynamically builds a relationship graph (service map) from Kubernetes API and OpenTelemetry trace spans.
02Functions without requiring service mesh sidecars or direct kernel access.
03Stores a lightweight, distilled relationship graph optimized for querying by scripts and LLMs, unlike raw trace storage.
04Provides query capabilities via REST API and a Multimodal Conversational Platform (MCP) server for LLM interaction.
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

arrca-graph logoarrca-graph
↳Safely deprecating services by identifying all callers of specific API versions.
↳Assessing the blast radius of changes by determining upstream dependencies of a deployment.
↳Identifying unused APIs or dead code by finding exposed endpoints with no callers.
↳Understanding data-store reach by pinpointing services that interact with a specific database.
↳Analyzing cross-zone traffic patterns for services.
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.
FAQ

FAQ

What is the difference between arrca-graph and lakevision?
Both arrca-graph and lakevision are in the Observability category. arrca-graph has 13 stars, while lakevision has 52 stars.
Which is better, arrca-graph or lakevision?
The best choice depends on your use case. Choose arrca-graph if Safely deprecating services by identifying all callers of specific API versions., and lakevision if Quickly understand the data layout, file locations, and change history within an Apache Iceberg-based Data Lakehouse..
Is arrca-graph free or open source?
Yes, arrca-graph is open source on GitHub (Apache-2.0).
Is lakevision free or open source?
Yes, lakevision is open source on GitHub (Apache-2.0).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related