Aether vs LakehouseBox

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

Aether compared with LakehouseBox
Detail	Aether	LakehouseBox
What it does	Cloud agents you can watch, on the AI you already pay for	Managed Apache Iceberg tables and hosted agents for AI to work with data
Stage	Not given	Startup
Founded	Not given	2026
Based in	US	ES
Pricing model	Freemium	Freemium
Pricing	Free plan with 20 credits/month (about 4 hours of machine time). Starter at $30/mo with 400 credits/month (about 80 hours). Pro at $75/mo with 2,000 credits/month (about 400 hours). Max at $120/mo with 4,000 credits/month (about 800 hours). 1 credit equals 12 minutes on default Small devbox. Medium	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	Watch cloud agents in real-time with live terminal and file tree Automated PR reviews with before/after screenshots Video recording of agent actions Scheduled automations daily or weekly Live port previews for each port the agent opens REST and WebSocket API for tasks and automations Isolated Firecracker microVMs per task Skills from repository SKILL.md files Reply by email to pause and resume agent tasks	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	Open devboxes you can watch, not sealed boxes Runs on your own AI provider account with no second bill Pay only for compute, with no per-task fees or surprises Code never used for training Machines destroyed after use, never reused	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 plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	32 +1 (up) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	7	2
Citation Flow (Majestic)	22	26
Referring domains (Majestic)	48	32

6 details filled in for both companies.

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