Engineering & Semiconductor Unstructured Data Management
Control exploding EDA and inspection data costs. Increase visibility to protect IP and meet export controls. Curate design data for AI.
Why Komprise for Engineering Companies?
$1M
SAVED / YEAR
80%
Better AI Accuracy
ZERO
PII, IP Surprises
The Komprise Difference for Engineering & Semiconductor
Engineering and semiconductor companies generate billions of small design, simulation, inspection and log files spread across high-performance NAS and engineering sites. At EDA scale, namespace density is the primary operational constraint. Teams lack contextual metadata to navigate dense storage silos. Komprise builds a Global Metadatabase across hybrid storage while operating outside the production data path. Komprise reduces storage pressure, accelerates platform transitions, and prepares unstructured data for lakehouses and AI without disrupting workflows.
Visibility
Sensitive Data
Tiering Cost Savings
Tiering Policies
Cybersecurity
Engineering Metadata
Customizable Policies
Cost of Storage Refresh
Compliance Reporting
Engineering AI Workflows
AI Ingestion
Data Lake House Integration
Focus
Storage-Vendor Data Management
Siloed, storage specific
Limited to no support
Limited, only on storage
Limited, Cluster-Based
Expensive copies
None
Limited
Lock-in. Costly Rehydration when Switching Vendors
None
None
Manual
None
Storage
Komprise Intelligent Data Management
Global Analytics Across all Storage and Clouds
Built-in sensitive data detection and handling
Save 70% on storage, backup, DR costs
Flexible per Use Case or Region
Cut 80% of Ransomware and Cyber Security Costs
Extract Project, Regulatory Metadata for Contextual Search from PDFs, Multimedia, EDA, MES, Metrology
Flexible; Showback by team or department
No Rehydration Penalty or Data Lock-In
Built-in Chain-of-Custody Reports, Auditing
Automate workflows to LLMs, Cloud AI, Lakehouses
Intelligent Caching Keeps Data Secure in Place. Boosts AI ROI by +80%
Deliver the Right Data to Analytics Platforms
Data Management in Regulated Industries
Trusted by Engineering Firms
Global Engineering Firm Saves 50%+ with Cloud Tiering
“Komprise gave us visibility that we never had before given our complicated infrastructure stack. For the first time, we can have fact-based conversations with the business about how long we should keep data, when to tier, and eventually when to delete. It’s building trust and helping us modernize our global data strategy and prepare our data estates for AI.”
– IT Infrastructure Director
Customer ROI
27x
Faster small-file migration at a semiconductor capital-equipment manufacturer.
2PB
Capacity reclaimed at a Fortune 100 pharmaceutical manufacturer.
$550K
Saved during an accelerated multi-site engineering migration.
Visibility + Planning
Find and manage completed, cold, abandoned, and retained project data across hybrid storage.
- Analyze petabyte-scale data estates to find completed, stale or abandoned project data by owner and age.
- Identify cold design and test data for automatic tiering by age, file type, or project with zero user disruption.
- See data growth and usage and model plans before a storage refresh.
Mobility At Scale
Analyze and move data through a distributed control plane outside production I/O.
- Global Metadatabase scans across hundreds of billions of files and 100PB+.
- Hypertransfer reduces protocol chattiness and delivers 27x faster data movement.
- Komprise does not block the production I/O path or impede hot data access.
AI & Lakehouse Data Preparation
Glean intelligence from design, test, simulation, project data for R&D, competitive analysis and risk management.
- Extract custom metadata to classify and curate the right data for AI and lakehouses.
- Filter sensitive, stale, duplicate and irrelevant data that erodes AI data quality.
- Transparent File Tables publish enriched metadata as Apache Iceberg tables for zero-move queries.
Dig Deeper
Blog
Transparent File Tables
Expose all your NAS and cloud data to Snowflake, Databricks and other lakehouses as Apache Iceberg tables without moving any data.
Overview
The Komprise Global Metadatabase
Rapidly extract rich structure for all your file and object unstructured data.
Solution Brief
Komprise Reports
Komprise provides prebuilt, shareable reports for orphaned data, potential duplicates, Showback, migrations, access time breakdown.
Frequently Asked Questions
Why is unstructured data management important for engineering and semiconductor companies?
Engineering and semiconductor teams generate billions of small design, simulation, verification, inspection and log files across high-performance NAS and distributed engineering sites. At EDA scale, namespace density becomes the primary operational constraint, and engineers lack the contextual metadata to find and reuse data buried in dense storage silos. Komprise Intelligent Data Management builds a Global Metadatabase across NAS, object, and cloud storage without sitting in the production data path, giving engineering and IT teams a single view of file and object data across every silo, tool chain, and site.
How can engineering and semiconductor companies control storage costs as NAND flash and DRAM prices rise?
High-performance NAS built on SSDs and DRAM cache is directly exposed to NAND flash and DRAM pricing, and most EDA environments only need a fraction of their data on that expensive tier at any given time. Much of the rest is cold data: design, simulation, and verification files that are no longer actively used but still sit on primary storage. Komprise Deep Analytics identifies this cold data by age, project, and access pattern, then Komprise Transparent Move Technology tiers it to lower-cost object or cloud storage in its native format, with no rehydration penalty and no vendor lock-in. The Komprise Flash Stretch Assessment quantifies exactly how much flash capacity an engineering environment can reclaim this way, freeing budget and headroom for active tape-outs and simulations instead of another storage refresh.
How does Komprise reduce storage pressure from billions of small EDA files without disrupting engineering workflows?
EDA environments are unique in namespace density: billions of small design, simulation, and log files accumulate across high-performance NAS and engineering sites faster than teams can track them, and HPC and engineering teams are among the most common sources of ROT data, meaning redundant, obsolete, and trivial files with no ongoing value. Komprise operates outside the production data path, so Komprise Analysis and Smart Data Workflows can classify cold and ROT data, tag it, and move or clean it up at scale without touching how engineers access active files, interrupting tape-out schedules, or requiring changes to existing tools and environments.
How does Komprise prepare engineering and semiconductor data for AI?
Design, simulation, and verification data is rarely AI-ready as-is: it is scattered across silos, poorly tagged, and mixed with sensitive IP. Komprise Smart Data Workflows scan and classify this data in place, while KAPPA data services extract and enrich metadata from log files, simulation outputs, and other engineering formats. The result is a governed, contextualized dataset in the Global Metadatabase that AI and analytics teams can search and curate without exposing protected design IP.
How does Komprise connect engineering and semiconductor data to platforms like Databricks, Snowflake, and Teradata?
Moving petabytes of design and simulation data into a data lakehouse is slow and disruptive, and most of that unstructured data is never actually queried at the file level. Transparent File Tables expose file and object metadata from the Global Metadatabase as Apache Iceberg tables, so engineering data becomes queryable in Databricks, Snowflake, and Teradata without copying or moving the underlying files. This lets platform and data teams accelerate lakehouse and AI initiatives while design data stays exactly where engineering workflows expect it.
Ready to Bring Structure to Your Unstructured Data?
Schedule a call with our unstructured data management experts and see your file and object data in a whole new way.
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