Consequences
FIRST
Treating Data Movement as Purely a Plumbing Problem
Creating new pipelines takes weeks (not minutes)
Coordinating with application teams, hunting for the right tables, dealing with infrastructure complexity
Performance degrades over time
Queries get slower each month, costs keep rising, files multiply, teams lack expertise to optimize
Teams move data blindly
No security profiling, no quality context, no business meaning preserved during extraction
THEN
Addressing Governance and Optimization as Afterthoughts
Context already lost
Business meaning, lineage, producer-consumer relationships gone once data moves
Sensitive data already exposed
Scanning tools discover PII after it's already in your lakehouse, creating compliance violations
Performance already degrading
Wrong partitions chosen, file sprawl, query slowdowns—fixing problems after they've cost you
The impact
GDPR audits reveal PII in 14+ unexpected locations
Many dashboards break from a single schema change
4 engineers doing nothing but pipeline maintenance ($800k/year)
Finance, Sales, and Marketing report different revenue numbers from the same source
These aren't separate problems—they're the consequence of treating data movement and data intelligence as disconnected concerns.
how it works
Orka Takes a Fundamentally Different Approach
Intelligence integrated across the entire pipeline lifecycle, from extraction through consumption
Instead of separate tools discovering problems after data moves,
Orka embeds intelligence at every stage:
01
Profiling BEFORE extraction
02
Adapting DURING delivery
03
Continuously optimizing based on ACTUAL usage
Traditional tools: Extract data first → THEN add intelligence/security/optimization
Intelligent
Profiles data quality while moving
Optimizes layouts automatically
Gets smarter over time
Secure
Detects sensitive data at extraction
Tracks complete lineage
Prevents exposure before it happens
Resilient
Adapts to schema changes automatically
Alerts producers and consumers
Keeps data flowing without manual fixes
Orka helps data leaders unlock operational data for AI and analytics.
Self-Service Data Catalog
When data access requests take 3 weeks and finding the right table requires expert knowledge, Orka provides instant data discovery and automated access.
Teams browse available operational data, see complete profiling and lineage, and get secure access in hours with all security policies automatically enforced.
What this means for you
Analytics teams self-serve without waiting on data engineering
Find the right data in minutes, not weeks
Business context preserved from source to consumption
Secure-by-Design Data Movement
When sensitive data blocks 80% of analytics requests and GDPR audits reveal PII in unexpected locations, Orka's zero-trust architecture automatically detects and protects sensitive data at extraction before it ever leaves your operational databases.
Unlike post-movement masking that leaves exposure windows, Orka ensures PII is masked, financial data is tokenized, and proprietary information is blocked at the source.
What this means for you
Security teams trust data movement without retroactive scanning
Compliance violations prevented before data moves
No exposure window between extraction and protection
Adaptative Pipelines
When schema changes break dashboards and require several engineers for constant maintenance, Orka's adaptive pipelines detect changes and adjust automatically.
Your ML models keep receiving features, dashboards stay up-to-date, and data keeps flowing even as operational databases evolve, without manual intervention.
What this means for you
Zero-downtime schema evolution
Engineering time freed from pipeline firefighting
Downstream systems stay operational through database changes
Complete Data Lineage
When auditors need proof of data handling and teams can't trace data quality issues, Orka provides end-to-end visibility of every data movement.
Track exactly what was extracted, how it was protected, where it went, and who accessed it.
What this means for you
Instant audit readiness with complete protection tracking
Trace data quality issues back to source
Understand downstream impact before making changes
Continuous Optimization
When traditional pipelines degrade over time - files multiply, queries slow, and costs rise - Orka learns from query patterns to optimize how data is stored in the lakehouse.
The system automatically tunes file layouts and partitions, detects unused data and adjusts what gets moved, reducing waste and cost. Data movement improves over time instead of degrading—each query teaches the system what matters.
What this means for you
Compute costs decrease as usage increases
Query performance improves automatically
No specialized tuning expertise required
Universal Data Delivery
When operational data needs to reach many destinations with different security requirements, Orka creates a single governed pipeline that intelligently routes protected data everywhere.
Analytics teams get clean data in Snowflake, ML systems receive real-time features, AI platforms access up-to-date signals, and partners consume tokenized data, all without building custom integrations.
What this means for you
Security enforced consistently wherever data flows
Reduce complexity of managing multiple extraction points
Deliver data to analytics, ML, and operational systems with confidence in protection
Connects any operational database (Oracle, SQL Server, DB2, PostgreSQL, MongoDB, MySQL) to any lakehouse (Snowflake, Databricks, BigQuery) or data platform (Iceberg, Delta Lake).
our approach
Shrinking expertise requirements
Intelligence built into the platform eliminates the need for specialized optimization skills. What previously required data engineers with deep lakehouse expertise now happens automatically.
Compounding Efficiencies
Traditional pipelines degrade - files multiply, queries slow, costs rise. Orka improves over time. Each query teaches the system what matters, automatically optimizing layouts, partitions, and refresh patterns.
Prevention vs Remediation
Catch issues at extraction, not after they've created downstream costs. Sensitive data detected before moving. Performance optimized before queries slow. Schema changes handled before pipelines break.
Why this Matters
Traditional data pipelines degrade over time. Orka improves. Here's what that means.
Accelerate Time-to-Data
From weeks to hours with self-service access and automated security controls
Prevent Data Incidents
50% fewer data breaches through field-level protection before movement
Reduce Engineering Overhead
70% reduction in pipeline maintenance and creation work
Eliminate Pipeline Failures
75% reduction in schema-change related breakages
Increase Use-Case Activation
5x more AI, analytics, and reporting projects delivered
Ensure Continuous Compliance
Instant audit readiness with complete lineage and protection tracking
