How DataFlint Works
From production Spark logs to AI-powered IDE fixes. See the complete architecture that transforms hours of debugging into minutes of precision optimization.
Why Spark AI Copilots Need Production Context
To provide accurate optimization recommendations, AI copilots must understand your actual production environment, job patterns, and performance bottlenecks - not just theoretical best practices.
Real Performance Data
AI needs actual execution metrics, memory usage patterns, and I/O bottlenecks from your production jobs to identify optimization opportunities.
Infrastructure Context
Understanding your cluster configuration, resource constraints, and deployment environment is crucial for relevant recommendations.
Error Patterns
AI must analyze actual failures, exceptions, and performance degradations to provide actionable debugging insights and prevention strategies.
The Challenge: Massive Production Context
While AI needs production context to be effective, enterprise Spark applications generate massive amounts of production data - logs, metrics, execution plans, and runtime statistics that are impossible to process directly. Here's why feeding raw production context to LLMs fails at scale.
Why Raw Production Context Don't Work
Volume Problem
Production context (logs, metrics, plans) exceeds 10GB+ - too large to process effectively
Token Limits
Even 1M token LLMs like Gemini can't handle 10GB+ production context
UI Performance
Spark UI takes 10+ minutes to load large production context files
Signal vs Noise
Only ~1% of production context data is optimization-relevant
DataFlint's Solution: 100x Log Compression
Our proprietary technology transforms gigabytes of raw Spark logs into compact, AI-ready insights that can be efficiently processed by LLMs.
Log Enrichment
Our open-source JAR (part of Job Debugger & Optimizer) extracts additional metrics that standard Spark logs lack, providing deeper insights into performance bottlenecks.
Intelligent Compression
Our proprietary file format filters and aggregates the enriched logs, achieving up to 100x compression while preserving critical optimization signals.
LLM-Ready Context
Using Model Context Protocol (MCP), we feed this compressed production context to LLMs (OpenAI, Gemini, Claude) for intelligent analysis and recommendations.
One Architecture, Three Solutions
Our proprietary compression technology powers the complete workflow from production monitoring to AI-powered optimization, enabling three complementary products that work together to transform your Spark development.
IDE Extension - AI Copilot
Get real-time code suggestions and performance optimizations directly in your development environment.
Learn more →Job Debugger & Optimizer
Open-source UI enhancement for Spark Web UI with advanced debugging and optimization capabilities.
Learn more →DataFlint Dashboard
Enterprise-grade SaaS dashboard for company-wide Spark observability, monitoring, and cost optimization.
Learn more →Whatever the use-case, we support it
DataFlint integrates seamlessly with your existing Spark infrastructure, regardless of platform, storage, or orchestration setup.
Spark Platforms
- Kubernetes: Any k8s cluster with Spark
- AWS EMR: All EMR versions and configurations
- Databricks: AWS, Azure, and GCP variants
- Apache Spark: Standalone clusters
- Cloud Services: Google Dataproc, Azure Synapse
Storage Systems
- AWS S3: All bucket configurations and regions
- Azure Blob: Hot, cool, and archive tiers
- Hadoop HDFS: On-premise and cloud HDFS
- Google Cloud: Storage buckets and BigQuery
- MinIO: Self-hosted S3-compatible storage
Development & Orchestration
- IDEs: VSCode, Cursor, IntelliJ IDEA, PyCharm
- Airflow: All versions and deployment types
- Databricks Jobs: Workflows and pipelines
- Prefect: Modern workflow orchestration
- Custom: REST APIs for any orchestrator
Enterprise-Ready Architecture
Built for enterprise scale with security, compliance, and reliability at the core. SOC 2 compliant with enterprise SSO, VPC deployment, and 24/7 support.
Security & Compliance
SOC 2 Type II, GDPR compliant, enterprise SSO
High Performance
99.9% uptime SLA, global CDN, auto-scaling
24/7 Support
Dedicated CSM, Slack support, custom training
Transform Gigabytes into Actionable Insights
Experience our proprietary 100x compression technology in action. See how we turn massive Spark logs into AI-ready context that powers intelligent optimization recommendations.