What's great
It's the missing link between a database and an automation tool. Being able to consolidate data from 1,000+ apps into one "Master Database" and then use that to power AI agents is incredibly powerful. The MCP readiness for tools like Claude Desktop is a standout feature for me.
What needs improvement
Documentation is good, but could be deeper for the new v5 AI features.
vs Alternatives
Google Sheets (too messy), Notion (hard to automate deep syncs), and Segment (too technical/expensive).
What data sources integrate natively out of the box?
Because Boost.space has the Make.com integration engine built-in, it supports over 2,000+ tools out of the box. This includes major CRMs (Salesforce, HubSpot, Pipedrive), e-commerce platforms (Shopify, WooCommerce), and productivity tools (Google Workspace, Notion, Slack), plus any API via generic HTTP modules.
Can I set field-level sync rules and priorities?
Yes. You can map specific fields from different tools to your central database and define which source is the "truth" for each field. This prevents lower-quality data from overwriting critical information. You can also control the flow direction (one-way or two-way sync) per integration to ensure strict data governance.
How do you handle data conflicts and duplicates?
Boost.space acts as a master database with a built-in deduplication engine. You can toggle "Disable Duplicates" to prevent redundant records from entering the system. For conflicts, you define priority rules (e.g., "Salesforce data always overwrites HubSpot data"), ensuring that your Single Source of Truth always keeps the most accurate version of a record.
What's great
