Boost.space

Name: Boost.space
Rating: 4.9 (60 reviews)

No-code Single Source of Truth Database for AI & Automations

4.9•60 reviews•

3.3K followers

No-code Single Source of Truth Database for AI & Automations

4.9•60 reviews•

3.3K followers

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Unified API

At Boost.space, we are engineering the Data Layer for the AI era. We go beyond simple integration by unifying fragmented business data into a Unified Grid—a dynamic Single Source of Truth. While others just move data, we actively enrich and transform it, creating the deep context that AI Agents need to execute real work. Our mission is to orchestrate the entire data flow across the enterprise ecosystem, bridging the gap between static databases and action-oriented AI.

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Promoted

Runner Up • Data & Data Security Product of the Year

More recipients →

Boost.space Launches

Boost.space v5 Shared Context for your AI Agents & Automations

Launched on February 17th, 2026

Boost.space 4.0 Buy & Sell AI-Powered Workflows

Launched on November 28th, 2024

Boost.space 3 Enable 1,800+ tools talk to each other

Launched on April 3rd, 2024

Boost.space If Airtable & Zapier had a baby & came up with lifetime deal

Launched on December 6th, 2023

Boost.space Synchronize your data across 1600+ tools in real-time

Launched on September 6th, 2023

Do you use Boost.space?

Forum Threads

p/boost-space

•

7d ago

How are you storing long-term context for agents?

Anyone else feel like most AI agents + automations are just fancy goldfish?

They look smart in demos.
They work for 2 3 workflows.
Then you scale and everything starts duct-taping itself together.

View all

4.9

Based on 60 reviews

Review Boost.space?

Boost.space is highly praised for its ability to centralize and synchronize data across multiple tools, enhancing workflow efficiency and reducing manual tasks. Users appreciate its intuitive interface and robust automation capabilities, which are powered by the Make.com engine. The platform is noted for its seamless integration with over 2,000 applications, making it a versatile solution for businesses of all sizes. While some users mention a learning curve, the comprehensive support and tutorials help ease the transition. Overall, Boost.space is seen as a valuable tool for streamlining operations and improving productivity.

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Most Informative

•1 review

What's great

I’ve been using Boost.space for some time now, and it has genuinely transformed how we manage operations.

What started as a data-sync tool has become the backbone of our business. Instead of juggling disconnected apps, everything flows into one centralized source of truth. CRM, marketing data, workflows, client records — it all connects and automates cleanly.

The Make-powered engine under the hood gives it serious depth. Once you understand the structure, the flexibility is incredible. We’ve removed repetitive manual work and built automations that previously required multiple separate tools.

What really stands out is how fast the platform evolves. New features roll out consistently, support is responsive, and the academy resources keep improving. It feels like infrastructure for AI-ready businesses, not just another productivity app.

What needs improvement

There is a learning curve, especially if you’re new to automation logic or database structuring. Because it’s powerful, it can feel overwhelming at first.

More beginner-friendly use-case templates and step-by-step workflow examples would help new users ramp up even faster. That said, the documentation and academy are improving steadily.

vs Alternatives

We considered Zapier, Make, Airtable-style setups, and custom integrations across multiple tools. The challenge was that everything felt fragmented — automation in one place, data storage in another, enrichment somewhere else.

Boost.space brought it together into one unified system instead of stacking more tools on top of each other.

Can I set field-level sync rules and priorities?

Yes — and this is one of the strengths of the platform.

You can define how fields map between systems and control which data source takes priority. That means you’re not just blindly syncing everything; you can set logic for overwriting, enrichment, conditional updates, and structured field mapping.

This is important when multiple systems are involved (CRM, marketing platforms, support tools) because you maintain control over data integrity instead of creating duplication or conflicts.

How are data transformations and mappings configured?

Data modeling is handled through modules (structured databases) combined with automation scenarios.

You configure field mappings visually, define relationships between modules, and apply transformation logic inside automation flows. This can include formatting, conditional routing, enrichment, filtering, and calculated fields.

It’s not just “connect A to B.” You can actually structure and reshape data before it moves, which makes it much more powerful than basic sync tools. Once you understand the modular logic, it becomes extremely flexible.

What limits exist on API calls or data volume?

From my experience, limits largely depend on your subscription tier and how complex your automations are. Because Boost.space runs on a Make-powered engine, execution volume, operations, and data processing limits scale with your plan.

For most standard business use cases (CRM sync, marketing automation, lead enrichment, workflow triggers), we haven’t hit restrictive ceilings. However, high-frequency API calls or large-scale data sync jobs will naturally require monitoring and potentially upgrading tiers.

The good part is that usage is transparent — you can see how your automations are running and adjust accordingly rather than hitting silent bottlenecks.

Ratings

Ease of use

Reliability

Value for money

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9 views8d ago

•5 reviews

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.

Ratings

Ease of use

Reliability

Value for money

Customization

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9 views8d ago

•1 review

Boost.Space feels like the middle-person I always wanted. I connected my Notion pages and Google Drive in a few clicks, and from then on changes just showed up where I needed them—no exports, no copy-paste slog. Files, tasks, even calendar items stay in step, so I’m never wondering which version is “the real one.” The dashboard is clean, and the built-in tutorials kept me from getting lost when I started mapping fields. It runs on Make.com behind the scenes, so if you ever need deeper automation, it’s there without feeling overwhelming. I’ve yet to hit a sync delay or data hiccup, and their chat support answered my one setup question in minutes. If you juggle Notion and Google Workspace every day and want them to act like one platform, Boost.Space is an easy win.

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70 views9mo ago

•1 review

What's great

I’ve been using Boost.space for some time now, and it has genuinely transformed how we manage operations.

What needs improvement

There is a learning curve, especially if you’re new to automation logic or database structuring. Because it’s powerful, it can feel overwhelming at first.

More beginner-friendly use-case templates and step-by-step workflow examples would help new users ramp up even faster. That said, the documentation and academy are improving steadily.

vs Alternatives

Boost.space brought it together into one unified system instead of stacking more tools on top of each other.

Can I set field-level sync rules and priorities?

Yes — and this is one of the strengths of the platform.

This is important when multiple systems are involved (CRM, marketing platforms, support tools) because you maintain control over data integrity instead of creating duplication or conflicts.

How are data transformations and mappings configured?

Data modeling is handled through modules (structured databases) combined with automation scenarios.

What limits exist on API calls or data volume?

The good part is that usage is transparent — you can see how your automations are running and adjust accordingly rather than hitting silent bottlenecks.

Ratings

Ease of use

Reliability

Value for money

Customization

Report

9 views8d ago

•5 reviews

What's great

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?

Can I set field-level sync rules and priorities?

How do you handle data conflicts and duplicates?

Ratings

Ease of use

Reliability

Value for money

Customization

Report

9 views8d ago

•1 review

Report

70 views9mo ago