LakehouseBox vs Shark Magic

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

LakehouseBox compared with Shark Magic
Detail	LakehouseBox	Shark Magic
What it does	Managed Apache Iceberg tables and hosted agents for AI to work with data	Serverless sandboxes that bill only for the seconds your agent's code runs
Stage	Startup	MVP
Founded	2026	Not given
Based in	ES	MX
Pricing model	Freemium	Freemium
Pricing	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.	Shark Pro $5/month includes $5 of usage; Shark Studio $25/month includes $25; Shark Scale $100/month includes $100. Commands run at $0.12 per compute-hour, billed per second only while running. Services: 2 vCPU / 2 GiB at $0.03/h; 4 vCPU / 4 GiB at $0.06/h. Storage $0.08/GiB-month with first 5 GiB f
Key features	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	Persistent Space for agent files and databases Pay only for compute time while command runs, not idle or thinking time HTTP API with Python and TypeScript SDKs CLI for devbox with Claude Code and Codex support Sleeping services that wake in milliseconds Fork Spaces fast without booting VM API key isolation outside VM with egress proxy Fast file search with sharkfn 300–600× faster than ripgrep Integration with LangChain, LangGraph, smolagents, and Prefect
What makes it different	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	Billing only for seconds code actually runs, not idle or thinking time Lowest cost compared to alternatives for agent infrastructure Persistent Storage with fast Space fork and file access without VM boot No GPU required, works with unmodified existing agent harnesses Sleeping services wake in milliseconds with zero idle billing
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)	Not checked yet no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	2	0
Citation Flow (Majestic)	26	0
Referring domains (Majestic)	32	0

7 details filled in for both companies.

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