Context Engine vs LakehouseBox

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

Context Engine compared with LakehouseBox
Detail	Context Engine	LakehouseBox
What it does	One memory for your AI agents and your team	Managed Apache Iceberg tables and hosted agents for AI to work with data
Stage	Not given	Startup
Founded	Not given	2026
Based in	Not given	ES
Pricing model	Freemium	Freemium
Pricing	Free: $0 forever with 1 agent per engine (up to 3 when friends refer), 1 GB memory. Pro: $12/month or $99/year per engine with 10 agents and 25 GB memory. Unlimited: $39/month or $299/year per engine with unlimited agents and 100 GB memory. Enterprise: from $6,000/year per install on your own server	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	Connect ChatGPT, Claude, Claude Code and Cursor with a few clicks AI tools save decisions, notes, people, customers and files Search with semantic understanding, not just exact words Automatic summaries by day, week and month Link related memories automatically Prevent duplicate memories with deduplication Export all data as Markdown and JSON Separate engines for clients with no data crossing Fine-grained access control (read or read-and-save) Full history tracking for every change	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	Keeps AI tools from forgetting context between sessions Data isolated per engine with no sharing between customers Fully portable—export anytime or delete permanently Pay per engine, never per person added to team	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)	14 −1 (down) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	13	2
Citation Flow (Majestic)	28	26
Referring domains (Majestic)	32	32

5 details filled in for both companies.

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