Turn 20 Hours of Data Engineering into one Click

Turn 20 Hours of Data Engineering into one Click

Turn 20 Hours of Data Engineering into one Click

DataGOL's innovative orchestration engine makes as-of reporting effortless. No more manual queries, no more engineering bottlenecks.

DataGOL's innovative orchestration engine makes as-of reporting effortless. No more manual queries, no more engineering bottlenecks.

DataGOL's innovative orchestration engine makes as-of reporting effortless. No more manual queries, no more engineering bottlenecks.

1-Click
Historical reporting

Zero

SQL Required



Zero

SQL Required



Zero

SQL Required



Zero

SQL Required



The Hidden Cost of "As-Of" Reporting

Every time your business needs historical data insights, your data engineering team drops everything to manually extract snapshots and refresh dashboards.


Every time your business needs historical data insights, your data engineering team drops everything to manually extract snapshots and refresh dashboards.


Every time your business needs historical data insights, your data engineering team drops everything to manually extract snapshots and refresh dashboards.


The Problem

DataGOL: Orchestrated Time-Travel


DataGOL: Orchestrated Time-Travel


DataGOL: Orchestrated Time-Travel



Manual Querying Nightmare Each as-of request requires manually inputting date parameters across multiple queries in Databricks or Snowflake



One-Parameter Orchestration

Set a single AS_OF_DATE parameter and watch it flow through your entire data pipeline automatically




One-Parameter Orchestration

Set a single AS_OF_DATE parameter and watch it flow through your entire data pipeline automatically



One-Parameter Orchestration

Set a single AS_OF_DATE parameter and watch it flow through your entire data pipeline automatically


Broken Data Lineage When you rollback one table, downstream dependencies don't automatically update, creating inconsistent data states


Broken Data Lineage When you rollback one table, downstream dependencies don't automatically update, creating inconsistent data states



Dynamic BI Dashboard Versioning Your Power BI and Tableau dashboards automatically generate versioned views



Engineering Bottleneck Business users can't self-serve historical insights. Every request goes through your already-overwhelmed data team


Engineering Bottleneck Business users can't self-serve historical insights. Every request goes through your already-overwhelmed data team



Automated Pipeline Consistency When you time-travel one data source, all dependent tables automatically rollback to maintain data integrity


Automated Pipeline Consistency When you time-travel one data source, all dependent tables automatically rollback to maintain data integrity

"With DataGOL, we turned 20 hours of query-writing into one click. Our quarterly board reporting went from a dreaded engineering sprint to a confident business process."

VP of Data, Leading SaaS Company

What Makes DataGOL Different

The platform that transformed Remo's analysts from data bottlenecks to insight heroes.

Automation

Run parameterized orchestration with AS_OF_DATE

Reduces manual data ops by 65%

Run parameterized orchestration with AS_OF_DATE


Enterprise-
grade security
Enterprise-
grade security

Built-in compliance and security standards

Uses existing document like Manuals, Policy's, FAQ's to respond to Customers internally or externally.

Unified platform
Automation

Eliminates tool sprawl and vendor management complexity

Run parameterized orchestration with AS_OF_DATE

Eliminates tool sprawl and vendor management complexity



Unified platform

Eliminates tool sprawl and vendor management

87% Ticket Reduction
87% Ticket Reduction

Self-serve analytics reduces engineering tickets by 87%

Stop Burning Engineering Hours on Repetitive Queries

See how DataGOL can eliminate your as-of reporting bottlenecks in a 15-minute demo

No commitment required • See results in 15 minutes • Works with your existing Snowflake/Databricks

Your Analysts Shouldn't Be Data Bottlenecks

Remo's analysts were facing the same challenges plaguing data teams everywhere.


The Problem

DataGOL: Orchestrated Time-Travel



Manual Querying Nightmare Each as-of request requires manually inputting date parameters across multiple queries in Databricks or Snowflake


One-Parameter Orchestration

Set a single AS_OF_DATE parameter and watch it flow through your entire data pipeline automatically

Broken Data Lineage When you rollback one table, downstream dependencies don't automatically update, creating inconsistent data states

Dynamic BI Dashboard Versioning Your Power BI and Tableau dashboards automatically generate versioned views

Engineering Bottleneck Business users can't self-serve historical insights. Every request goes through your already-overwhelmed data team


Automated Pipeline Consistency When you time-travel one data source, all dependent tables automatically rollback to maintain data integrity