Coalesce Integration

Coalesce Data Integration | Data Transformation Analytics

Connect Coalesce in 5 minutes. Your AI agent queries data transformation pipelines, end-to-end lineage, metadata coverage, and job performance metrics — then correlates with cross-channel insights from 1,000+ sources.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to Coalesce
Which pipelines failed in the last 24 hours and what's their average run time?
failed_jobs: 3, avg_run_time: 14.2 minutes, affected tables: 12.
Update ownership for those pipelines to the data engineering team?
Done — ownership updated for 3 pipelines, metadata synced to Coalesce catalog.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
Coalesce Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

What your AI agent extracts from Coalesce

Your agent reads data pipelines, transformations, tables and columns, job status and run times, end-to-end lineage graphs, metadata including readmes and ownership, documentation coverage metrics, deprecated assets, quality tests, and production behavior monitoring data. It surfaces AI-powered metadata insights, schema updates, and governance analytics from Coalesce's catalog and integrations with Snowflake, Fivetran, and Secoda.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Coalesce API
15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query, write, and monitor Coalesce through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.
Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.
Integration Details

Complete Data Pipeline Observability

Improvado pulls data pipelines, transformation jobs, table and column metadata, lineage graphs, job run times, and quality test results from Coalesce. We capture documentation coverage, ownership records, deprecated assets, schema changes, and production behavior monitoring data across Snowflake, Fivetran, and Secoda integrations.

Snowflake integration · OAuth via Git/Snowflake · Real-time sync · Native Secoda/Fivetran lineage
Schema Overview

Data objects and fields Improvado extracts from Coalesce

Object Fields
Pipelines
pipeline_id name run_time_minutes status last_run_timestamp owner
Transformations
transformation_id pipeline_id table_name column_count test_count lineage_depth
Metadata
asset_id asset_type documentation_coverage_pct owner deprecated_flag last_updated
Jobs
job_id pipeline_id status start_time end_time failure_reason
How it works

From connection to autonomous action in three steps

1

Connect

Connect: Authenticate via Snowflake or Git provider OAuth in 10 minutes, backfill all pipelines and metadata.

2

Ask

Query: Ask your agent about pipeline run times, lineage dependencies, or documentation gaps — it surfaces job metrics, transformation details, and governance analytics instantly.

3

Act

Act: Your agent updates ownership, marks deprecated assets, enriches metadata, and triggers documentation syncs across your Coalesce catalog.

Use Cases

What teams ask their AI agent about Coalesce

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →
A
Improvado Agent Analysis

Which data pipelines have the longest run times this week and what's their documentation coverage?

Your AI agent analyzes Coalesce data and delivers actionable insights — automatically, in seconds.

5 hrs → 25 min
A
Improvado Agent Cross-channel

Compare transformation job failure rates between Coalesce and our dbt pipelines over the last 30 days

Your AI agent analyzes Coalesce data and delivers actionable insights — automatically, in seconds.

Manual → auto
A
Improvado Agent Reporting

Update the ownership metadata for all deprecated tables in the marketing schema

Your AI agent analyzes Coalesce data and delivers actionable insights — automatically, in seconds.

3 hrs → 15 min
AI Agent Access

Your agent doesn't just read Coalesce — it enriches it.

Read

Read: Data pipelines, transformations, tables and columns, job status and run times, end-to-end lineage graphs, metadata (ownership, readmes, usage), documentation coverage, deprecated assets, quality tests, and production monitoring metrics.

Write

Write: Update ownership assignments, mark assets as deprecated, enrich metadata fields, modify readmes, and trigger documentation syncs across the Coalesce catalog.

Monitor

Monitor: Track job performance trends, lineage changes, schema updates, documentation coverage drift, and governance compliance across all data transformation pipelines.

Claude, ChatGPT, and Cursor can update metadata fields, mark assets as deprecated, assign ownership, and trigger documentation updates across your data catalog. When your agent writes back to Coalesce, every change is logged with timestamps, user context, and reasoning in Improvado's audit trail for full governance visibility.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Coalesce
You
Which data pipelines have the longest run times this week and what's their documentation coverage?
A
Pipeline Performance & Documentation
Pipeline Avg Run Time Doc Coverage
marketing_attribution_daily 47.3 min 34%
customer_360_refresh 38.9 min 89%
product_analytics_aggregate 31.2 min 67%
revenue_reporting_transform 28.5 min 92%
inventory_sync_warehouse 22.7 min 45%
5 pipelines · 168.6 min total runtime · avg 65% documented
You
Update the ownership metadata for all deprecated tables in the marketing schema
A
Metadata updates queued
Updating 23 deprecated tables · assigning to data-platform team
Destinations

Send Coalesce data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

SOC
SOC 2 Type II Audited data management
H
HIPAA Healthcare compliance
EU
GDPR EU data protection
CA
CCPA California privacy
Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Coalesce as one of 1,000+ integrated sources.

Feature Improvado Supermetrics Funnel.io Fivetran
Data fields extracted 200+ ~90 ~120 ~80
Total integrations 1,000+ ~150 ~500 ~300
Cross-channel normalization (CDM) ✓ Built-in ✗ Manual ● Basic mapping ✗ Raw only
AI Agent access (MCP) ✓ Read, Write, Monitor
Data warehouse destinations ✓ 16+ warehouses & BI tools Sheets, Looker, BigQuery BigQuery, Snowflake, Redshift ✓ Broad warehouse support
Refresh frequency Every 15 min Scheduled triggers Daily / 6hr Every 15 min (premium)
SOC 2 Type II & HIPAA ✗ SOC 2 only ✓ SOC 2
Best for Teams that want an AI agent, not a pipeline Small teams, spreadsheets Mid-market, data teams Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

How does Improvado connect to Coalesce?
Improvado connects to Coalesce through its native integrations with Snowflake and metadata platforms like Secoda. Setup takes approximately 10-15 minutes using connector-based authentication via your Snowflake credentials or Git provider OAuth. Historical data backfill includes all existing pipelines, transformations, lineage graphs, and metadata from your Coalesce environment.
What Coalesce data does Improvado pull?
Improvado extracts data pipelines, transformations, tables and columns with metadata, job status and run times, end-to-end lineage from source to BI apps, documentation coverage analytics, deprecated assets, quality tests, ownership information, readmes, usage metrics, and schema update history. Data refreshes in near-real-time, reflecting live lineage updates, job performance changes, and dynamic metadata as Coalesce monitors production behavior.
How often does Coalesce data refresh?
Coalesce data syncs in near-real-time to real-time, capturing live lineage updates, job status changes, and automated schema updates as they occur. Job performance metrics like run times and failure rates update dynamically based on production monitoring. You can also trigger manual syncs on-demand for immediate data refresh when investigating pipeline issues or governance changes.
Can the AI agent write data back to Coalesce?
Yes, your AI agent can write metadata updates back to Coalesce, including ownership assignments, deprecation flags, documentation updates, and readme modifications. Every write action is logged in Improvado's audit trail with user attribution, timestamp, and the natural language prompt that triggered the change. Role-based access controls ensure only authorized agents and users can modify governance-critical metadata.
Is Coalesce data secure with Improvado?
Yes, Improvado is SOC 2 Type II certified, HIPAA-compliant, and GDPR-ready. All Coalesce data — including pipeline metadata, lineage graphs, and job metrics — is encrypted in transit (TLS 1.2+) and at rest (AES-256). Snowflake and Git credentials are stored in Improvado's secure credential vault, never exposed to AI agents or logged in plain text.
How does Coalesce connect with other platforms in Improvado?
Improvado maps Coalesce pipelines, transformations, and lineage into its Common Data Model alongside data from 1,000+ marketing, analytics, and business platforms. Your AI agent can correlate Coalesce job performance with dbt transformation metrics, compare data quality tests across Fivetran and Airbyte sources, or trace end-to-end lineage from raw ingestion through Snowflake to Tableau dashboards — all in one unified query.