Dremio Integration

Connect Dremio — Data Lake Acceleration

Connect Dremio and let AI agents query processed datasets, aggregated metrics, and analytical outputs alongside real-time marketing platform data.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to Dremio
Show me query performance across all reflections in the last 7 days.
Your Dremio instance processed 2.4M queries with an average execution time of 1.8 seconds. Top reflection accelerated 340K queries with 94% cache hit rate.
Which datasets have the slowest refresh times?
Three datasets exceed SLA: customer_events at 47 minutes, product_catalog at 38 minutes, and transaction_history at 29 minutes. All show 15-20% volume growth this week.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
Dremio Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Connect Dremio with automated integration

Improvado connects directly to Dremio's SQL interface to extract your processed marketing datasets and analytical results. Our platform pulls transformed data, aggregated metrics, and analytical outputs from your Dremio data lakehouse on your preferred schedule. Data flows seamlessly from Dremio to your chosen destinations without complex query management. Authentication and connection handling happens automatically through our secure interface.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Dremio 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 Dremio 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

Unified data lakehouse integration

Dremio integration extends Improvado's Marketing Common Data Model to include your processed lakehouse datasets alongside raw marketing platform data. Combine Dremio's analytical outputs with fresh marketing data for comprehensive reporting workflows. Use Dremio as an intermediate processing layer while maintaining unified data governance across all platforms. Build dashboards that blend real-time marketing data with historical analytical insights from your lakehouse.

Dremio REST API v3 · Personal Access Token · Hourly · incremental
Schema Overview

Data objects and fields Improvado extracts from Dremio

Object Fields
Campaign
campaign_id campaign_name spend impressions clicks conversions status
Ad Group
ad_group_id ad_group_name campaign_id bids status impressions clicks
Ad
ad_id ad_name ad_group_id format impressions clicks spend ctr
Keyword
keyword_id keyword_text ad_group_id match_type cpc impressions clicks
Performance
date campaign_id impressions clicks spend conversions revenue
How it works

From connection to autonomous action in three steps

1

Connect

Connect via REST API credentials with admin privileges. Agent authenticates using personal access token and accesses your Dremio environment's catalog, reflections, and job history.

2

Ask

Ask natural questions like 'which reflections have the lowest hit rates' or 'show me failed queries in the last hour' or 'what's the average query time for customer datasets'.

3

Act

Agent refreshes reflections on-demand, adjusts refresh policies based on usage patterns, promotes datasets to spaces, and modifies reflection configurations to optimize query acceleration.

Use Cases

What teams ask their AI agent about Dremio

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

Extract Dremio analytical results to combine with real-time marketing platform data

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

3 hrs → 10 min
A
Improvado Agent Cross-channel

Sync processed customer segments from Dremio to marketing automation platforms

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

5 hrs → 15 min
A
Improvado Agent Reporting

Generate executive reports combining Dremio insights with fresh campaign data

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

Manual → auto
AI Agent Access

Your agent doesn't just read Dremio — it combines lakehouse insights with live data

Read

Agent reads query execution metrics, reflection performance data, dataset metadata, refresh schedules, cache hit rates, job history, source connection status, and data volume statistics across all spaces and folders.

Write

Agent triggers reflection refreshes, updates refresh policies, promotes datasets between spaces, modifies reflection settings, adjusts acceleration parameters, and configures query optimization rules based on usage patterns.

Monitor

Agent monitors query latency thresholds, reflection staleness, failed refresh jobs, cache hit rate degradation, dataset growth trends, and source connection health to maintain optimal query performance.

The AI agent queries transformed datasets, customer segments, and analytical results from your Dremio lakehouse. It merges processed historical insights with real-time campaign data, syncs customer segments to marketing platforms, and answers questions like 'how do our Dremio cohorts perform in current campaigns?'

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Dremio
You
Show me reflection performance for our logistics datasets
A
Reflection Analytics
Reflection Queries Served Acceleration
shipment_tracking_agg 89.2K queries 12.4x faster
route_optimization_view 67.8K queries 8.9x faster
carrier_performance_daily 54.3K queries 15.2x faster
warehouse_inventory_rollup 41.6K queries 6.7x faster
delivery_metrics_hourly 38.9K queries 11.3x faster
5 reflections · 291.8K queries · avg 10.9x acceleration
You
Refresh the shipment_tracking_agg reflection now
A
Reflection Refresh Initiated
shipment_tracking_agg · 2.1M rows · est. 8 min
Destinations

Send Dremio 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 Dremio 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

What data can Improvado extract from Dremio?
Improvado extracts any dataset accessible through Dremio's SQL interface including processed tables, analytical results, and aggregated metrics. This includes customer segments, attribution models, and historical analysis outputs from your data lakehouse. All data maintains original schema and relationships for accurate downstream analysis.
How does Dremio integration work with other connectors?
Dremio serves as both a source and destination in Improvado's ecosystem, allowing bidirectional data flow. Extract processed insights from Dremio while simultaneously loading fresh marketing data into your lakehouse. Use Dremio for complex transformations alongside Improvado's real-time data ingestion from 500+ marketing platforms.
Can I schedule automatic Dremio data extraction?
Yes, Improvado runs automated queries against Dremio on your configured schedule - hourly, daily, or weekly. Define specific datasets or queries to extract automatically without manual intervention. Schedule coordination ensures fresh analytical results flow to downstream systems consistently.
Does this require special Dremio configuration?
Improvado connects through Dremio's standard SQL interface using your existing user credentials and permissions. No special configuration or additional software installation required on your Dremio cluster. Connection setup takes minutes through our secure authentication interface.
Where can I send data extracted from Dremio?
Data from Dremio flows to any destination in Improvado's ecosystem including BigQuery, Snowflake, Redshift, Azure, Tableau, Power BI, and Looker. Send processed insights to multiple destinations simultaneously or use Dremio as an intermediate processing step in larger data workflows.
Can I use Dremio as a destination for marketing data?
Yes, Improvado can also load marketing platform data into Dremio alongside extracting processed results. This creates bidirectional integration where fresh marketing data feeds your lakehouse while analytical outputs flow to downstream reporting systems. Configure separate pipelines for ingestion and extraction based on your workflow needs.