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gitring vs LakehouseBox

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

gitring compared with LakehouseBox
Detailgitring logo gitringLakehouseBox logo LakehouseBox
What it doesSource control for coding agents with conflicts settled before code exists Managed Apache Iceberg tables and hosted agents for AI to work with data
StageStartup Startup
FoundedNot given 2026
Based inNot given ES
Pricing modelNot given Freemium
PricingFree: $0 for up to 3 projects and one person (never charges). Builder: $15 a month or $150 a year. Team: $36 per person a month or $360 per person a year. New accounts start on Team for 14 days free with up to 5 projects. Storage €0.10 per GB-month (5 GB free monthly), Compute €0.12 per CPU-hour (10 CPU-hours free monthly), AI tokens €2.50 per million (5 million free monthly). No request, ingress or egress fees.
Key features
  • Agents declare plans before writing code
  • Written rules automatically settle conflicting plans
  • Integration with Claude Code, Codex, and MCP clients
  • GitHub repository mirroring after each merge
  • Intent-based workflow instead of pull requests
  • Drift detection comparing code changes to declared plans
  • No branch names; work identified by intent number
  • Write rules per folder with CI files people-only
  • Managed Apache Iceberg tables with automatic maintenance and backups
  • Multiple data ingestion methods including files, APIs, webhooks, and scheduled URLs
  • Query with DuckDB, Spark, Trino, Polars, or PyIceberg
  • Public data catalogs served over a CDN
  • Automatic spatial clustering for geometry tables
  • FTP, FTPS and SFTP support for file uploads from cameras and devices
  • Corporate sign-in and granular access control for organizations
  • Audit trail and activity log for organizational use
What makes it different
  • Conflicts settled before any code is written
  • Agents review intent goals and plans, not line-by-line diffs
  • Works with your existing agents without leaving GitHub
  • Only humans approve merges, never agents or models
  • Open table format: Apache Iceberg ensures your data remains portable and readable by any compatible engine
  • Agents keep what they observe, decide and do as persistent tables for learning across runs
  • Operated in Europe with data storage in Frankfurt and model inference in Paris
  • Pay only for what you use with no request, ingress or egress fees
  • Serverless platform with no servers or clusters to manage
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)12 +2 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)02
Citation Flow (Majestic)026
Referring domains (Majestic)032

5 details filled in for both companies.

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