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Data Orchestration Platform

Your data is ready.
Your pipeline shouldn't take 6 months.

Spoggle uses patented semantic data clustering to analyze metadata and content across your datasets, automatically discover relationships, and build warehouse-ready data models — no pipeline code, no schema design, no data engineering team.

Data orchestration No-code AI-ready Patented

Hours

To orchestrate and model, not months

Zero

Lines of pipeline code

100%

Your infrastructure, your control

Self-serve

Business users run their own analytics

Meet Spoggle — your no-code data platform

Five pillars that take messy, scattered data and turn it into analysis-ready, orchestrated datasets business users can work with.

Midmarket data is broken

Your business units have the vision. They can prototype AI agents over a weekend. But the data foundation underneath? That's where everything stalls.

Disjointed sources

Data lives in CRMs, ERPs, spreadsheets, and SaaS tools that don't talk to each other.

5schemas

Duplicated, unorchestrated

The same entity exists in five systems with five different schemas and no single source of truth.

?

Talent is sparse

Data engineers are expensive and hard to find. Most midmarket teams can't staff a dedicated data team.

!
vs

Enterprise tools are bloated

Platforms built for Fortune 500 data teams are too heavy, too expensive, and too slow for midmarket needs.

1 day6 months

The AI-ready gap

Business teams can build AI agents in a weekend. But cleaning data takes 6 months.

6 mo

Average pipeline build time

The result: business units with clear AI and analytics ambitions, sitting on top of data infrastructure that can't support them.

One platform, zero duct tape

Everything your data needs to go from scattered sources to business-ready insights. No pipeline code, no glue jobs, no six-month backlog.

Automatically discovers relationships across datasets using semantic clustering and builds full data lineage from source to consumption.

Semantic Clustering

Groups related fields from disparate sources into canonical models.

cust_namecustomer_nmorder_dtpurchase_dateNameDateCanonicalcustomer_nameorder_datetotal_amountregion

Data Lineage

Visual graph of how every object was derived and transformed.

CRMERPCSVCleanseModel

Auto-profiles every dataset on ingestion. Surfaces quality issues and provides a single pane of glass across all your data assets.

Health Scoring

Completeness, uniqueness, consistency, and validity scored on ingestion.

Completeness92%
Uniqueness78%
Consistency95%
Validity64%

Data Catalog

Browse, search, and tag datasets with full relationship context.

Search datasets...
customers_v3Table92%
orders_2024View87%
product_catalogTable95%

Ask questions in plain English, get charts and reports. Auto-generated visualizations give you a starting point for deeper exploration.

Ask Spoggle

Natural language queries that return charts and the SQL behind them.

"Top 10 customers by revenue this quarter"

Revenue by customer

Auto Insights

Charts, distributions, and correlations generated on ingestion.

Distribution

Trend

Also includes: Data ingestion from any source · Cleanse & transform · Sandbox environments · API integration · Alerts & metrics · Role-based access control

Stop building pipelines.
Start building insights.

See how Spoggle turns months of data engineering into hours of automated orchestration. Run a proof of concept on your own data.

How it works

From raw data to business-ready insights in four steps. No pipeline code. No data engineering sprints.

1

Connect

Ingest data from any source — databases, files, APIs, SaaS applications. Drag and drop into your sandbox. No schema pre-definition required.

90+

Connectors

Zero

Schema setup

2

Discover

Spoggle's semantic engine auto-profiles your data, identifies quality issues, and discovers relationships across datasets. Data health scores are generated instantly.

"We connected three legacy systems on Monday. By Wednesday, Spoggle had mapped every relationship and flagged 2,000 duplicate records we didn't know existed."

— Operations Director, Energy Company

3

Model

Data clusters automatically build warehouse-ready data models. Review the generated relationships, refine if needed, and publish. Human oversight, machine speed.

4

Deliver

Visualize, report, ask questions in natural language, or feed orchestrated data to downstream applications and AI agents via API. Your data is finally ready for what comes next.

Deployment & security

Deployment

On-premises, Azure, AWS, or GCP — your infrastructure, your control. Spoggle runs in your environment, not ours.

Security

RBAC, encryption at rest and in transit, SSO via Microsoft AD. Data never leaves your perimeter.

Pricing

Differentiated tiers for different levels of value across enterprise situations. Subscription-based, monthly or annual.

Ready to see it in action?

Run a proof of concept on your own data. We'll show you how Spoggle orchestrates your datasets in hours, not months.