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OptiX

Data Platform Cost Management

See every dollar. Optimize every query.

Unified cost intelligence across Databricks, Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse and modern data workloads—connecting platform spend, query behavior and optimization.

See it in action
Complete VisibilityUnified cost and usage across the target environment
Cost OptimizationIdentify waste, inefficiency and savings opportunities
AI-powered InsightsPrioritized recommendations with business impact
GovernanceBudgets, policies, allocation and accountability
Key Capabilities

Data Platforms Capabilities

Connect data-platform spend with clusters, warehouses, queries, jobs, pipelines, storage, teams, products, and business consumers.

Multi-platform Visibility

Unified cost and usage across data platforms, workspaces and workloads.

Cost Attribution

Allocate platform costs by business unit, project, team, application and environment.

Workload & Query Intelligence

Analyze queries, jobs, users, pipelines and expensive workloads.

Resource Optimization

Right-size clusters, warehouses and slots to match demand.

Storage Optimization

Optimize retention, format, compression and storage tiering.

AI-powered Insights

Detect anomalies, forecast cost and recommend actions.

Business Outcomes

Turn Cost Visibility into Measurable Value

Reduce data-platform waste, improve workload efficiency, optimize compute and storage, strengthen ownership, and increase the value delivered by data workloads.

Reduce Data Platform SpendIdentify waste and continuous optimization opportunities.
Improve PerformanceOptimize queries, clusters and pipelines for faster insight.
Increase EfficiencyImprove utilization and automated scaling.
Govern with ConfidenceBudgets and policies reduce overspend.
Maximize Data ValueDeliver more value from every data workload.
Focus Areas

OPTIX for Data Platforms

Optimize the cost and efficiency of major data platforms while connecting workload consumption to teams, products, and business value.

DatabricksMonitor clusters, jobs, DBUs and storage; optimize auto-scaling and job efficiency.
SnowflakeAnalyze warehouses, storage and cloud services; optimize idle and inefficient usage.
Amazon RedshiftOptimize clusters, queries and snapshot storage.
Google BigQueryTrack slots, queries and storage; improve reservations and query performance.
Azure SynapseMonitor SQL pools, Spark pools and storage.
Data Cost IntelligenceConnect cost with pipelines, products and business consumers.
How It Works

How OPTIX Works for Data Platforms

Collect platform cost and workload telemetry, map consumption to enterprise context, analyze inefficiency, prioritize optimization actions, and track realized savings and performance gains.

  1. 01

    Connect

    Securely connect cost, usage and operational sources.

  2. 02

    Collect & Normalize

    Normalize cost, usage, metadata and business context.

  3. 03

    Analyze

    Identify trends, anomalies, waste and savings opportunities.

  4. 04

    Recommend

    Generate prioritized, actionable optimization recommendations.

  5. 05

    Optimize

    Automate or guide approved optimization actions.

  6. 06

    Monitor & Realize

    Track savings, efficiency and continuous improvement.

Built to Integrate

Connect to the Enterprise Ecosystem

Connect Databricks, Snowflake, Redshift, BigQuery, Synapse, and enterprise context for unified data-platform cost and workload intelligence.

AWS Redshift
Google BigQuery
Azure Synapse
VantageX
CORA
BotX
AWS Redshift
Google BigQuery
Azure Synapse
VantageX
CORA
BotX

Optimize every data workload with better cost intelligence.

Use OPTIX for Data Platforms to manage warehouse, lakehouse, storage, query, and workload economics across your ecosystem.

Multi-platform visibilityResource and query intelligenceAI-powered recommendations
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