About Us

About Us

Fixing the Mid-Market Data Problem

We build data infrastructure that turns disconnected systems into unified intelligence for growing companies.

We've unified data from over 50+ business systems

50+ integrations mastered

About Dataware

About Dataware

Who We Are

Dataware is a team of data engineers who've rescued failed integrations and built hundreds of data warehouses. We specialize in connecting systems, cleaning messes, and enabling natural language access.

50+ Integrations

Connecting everything from legacy databases to modern SaaS

50+ Integrations

Connecting everything from legacy databases to modern SaaS

50+ Integrations

Connecting everything from legacy databases to modern SaaS

500K+ Records

Synced daily without duplicates or data loss

500K+ Records

Synced daily without duplicates or data loss

500K+ Records

Synced daily without duplicates or data loss

100% Deduplication

Complete prevention through persistent tracking

100% Deduplication

Complete prevention through persistent tracking

100% Deduplication

Complete prevention through persistent tracking

Our Values

Our Values

Our Values

The Values Behind Dataware

Our principles come from real-world experience building data systems that work in production, not theory.

Build What Works

We choose proven patterns over trendy architectures. Simple tables beat complex schemas when they work.

Build What Works

We choose proven patterns over trendy architectures. Simple tables beat complex schemas when they work.

Build What Works

We choose proven patterns over trendy architectures. Simple tables beat complex schemas when they work.

Persistence Over Purity

Every sync leaves a trail. No ephemeral storage, no data deletion. Your history is your safety net.

Persistence Over Purity

Every sync leaves a trail. No ephemeral storage, no data deletion. Your history is your safety net.

Persistence Over Purity

Every sync leaves a trail. No ephemeral storage, no data deletion. Your history is your safety net.

No-Code First

If your team needs SQL to access data, we've failed. Natural language access is non-negotiable.

No-Code First

If your team needs SQL to access data, we've failed. Natural language access is non-negotiable.

No-Code First

If your team needs SQL to access data, we've failed. Natural language access is non-negotiable.

Start Simple, Scale Smart

Begin with the foundation, add intelligence progressively. Each phase delivers value while preparing for the next.

Start Simple, Scale Smart

Begin with the foundation, add intelligence progressively. Each phase delivers value while preparing for the next.

Start Simple, Scale Smart

Begin with the foundation, add intelligence progressively. Each phase delivers value while preparing for the next.

Why us

Why us

Why us

What makes us stand out in the industry

We've learned from both failures and successes what actually matters for mid-market data infrastructure.

Traditional Approach

Complex Kimball schemas

Complex Kimball schemas

Complex Kimball schemas

SQL-only access

SQL-only access

SQL-only access

Months of consulting

Months of consulting

Months of consulting

Enterprise pricing

Enterprise pricing

Enterprise pricing

Theoretical best practices

Theoretical best practices

Theoretical best practices

Separate BI tools required

Separate BI tools required

Separate BI tools required

Dataware Approach

Simple, functional tables

Simple, functional tables

Simple, functional tables

Natural language queries

Natural language queries

Natural language queries

Practical implementation

Practical implementation

Practical implementation

Mid-market pricing

Mid-market pricing

Mid-market pricing

Production-tested patterns

Production-tested patterns

Production-tested patterns

Integrated intelligence

Integrated intelligence

Integrated intelligence

FAQs

FAQs

FAQs

We’ve Got the Answers You’re Looking For

The answers that matter when choosing your data infrastructure partner.

What makes dataware different from BI tools?

What does the implementation process look like?

Which systems can you connect?

Do we need technical staff?

What happens after the initial setup?

What makes dataware different from BI tools?

What does the implementation process look like?

Which systems can you connect?

Do we need technical staff?

What happens after the initial setup?

What makes dataware different from BI tools?

What does the implementation process look like?

Which systems can you connect?

Do we need technical staff?

What happens after the initial setup?

Your Data Should Work For You, Not Against You

Join 50+ companies that finally trust their numbers

© All right reserved

© All right reserved