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Data Modernization: Decentralized Data Mesh & Real-Time Lakehouse

Eliminate brittle centralized ETL pipelines and unmanaged data swamps. Idynic architects decentralized Data Mesh topologies and real-time semantic layers for enterprise scale.

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75%

Faster Analytical Query Execution

Zero-Copy

Warehouse Native Data Sharing

99.9%

Data Pipeline SLA Reliability

10x

Expansion in Domain Self-Serve Data Products

The Medallion Lakehouse Architecture

Unify streaming events and batch datasets into an open, high-performance table format with automated data quality gates.

Bronze: Raw Ingestion

Immutable append-only streaming ingestion from Kafka, Kinesis, databases, and third-party APIs preserving original schema.

Silver: Cleaned & Curated

Deduplication, schema enforcement, PII masking, and cross-table joins producing verified, enterprise-ready source tables.

Gold: Semantic Aggregates

High-performance dimensional models (Star Schema / Cube) optimized for executive reporting and low-latency feature stores.

Embedded Applications

Real-time analytical APIs, reverse ETL back to Salesforce/ERP, and autonomous AI copilot grounding pipelines.

Real-Time Speed Without Sacrificing Governance

Eliminate disjointed lambda architectures. Idynic unifies real-time streaming and historical batch warehousing into open Apache Iceberg and Delta Lake tables.

Read data mesh whitepaper

Capability	Legacy Data Warehouse	Idynic Lakehouse
Query Latency	Hours / Batch overnight	Sub-Second Streaming
Storage Format	Proprietary locked silos	Open Apache Iceberg
Compute Flexibility	Single vendor lock-in	Multi-Engine (Trino/Spark/Ray)
Data Quality SLAs	Manual post-incident fixes	Automated In-Flight Gates

Empirical Data Velocity Outcomes

90%

Reduction in data pipeline failure incidents via automated schema contracts.

4.5x

Faster analytical query execution across multi-petabyte datasets.

48%

Warehouse compute cost savings through query optimization and cold storage tiering.

Sub-2s

End-to-end data freshness from transactional DB commit to dashboard display.

100%

Automated lineage tracing and compliance reporting for BCBS 239 audits.

350+

Pre-built connectors for ERP, SaaS, and cloud streaming sources.

Our Offerings

Full lifecycle data engineering from modern lakehouse design to real-time streaming data applications.

Consult data architects

Modern Lakehouse Engineering

Unify your data warehouse and data lake on open table formats.

Apache Iceberg and Delta Lake table optimization and compaction
Snowflake, Databricks, and Google BigQuery architecture design
Automated data quality testing using dbt and Great Expectations

Streaming Data Applications & Reverse ETL

Turn static reporting databases into active, operational intelligence loops.

Sub-second low-latency analytics APIs with ClickHouse and DuckDB
Dynamic event streaming via Apache Kafka and AWS Kinesis
Reverse ETL syncing customer scoring back to frontline CRM systems

Case Study

Real-Time Data Applications

Sub-Second Global Inventory Intelligence Across 4,200 Retail Outlets

A multi-brand apparel retailer suffered from 6-hour inventory reconciliation delays. Idynic engineered an Apache Iceberg lakehouse streaming 80M daily point-of-sale events, slashing inventory shrinkage by 32% and enabling real-time store fulfillment.

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Case study

Frequently Asked Questions

Architecture and governance questions about enterprise data applications.

Apache Iceberg separates compute from storage while providing full ACID transactions, time-travel queries, and schema evolution. It prevents vendor lock-in by allowing Snowflake, Spark, Trino, and DuckDB to query the exact same underlying Parquet files concurrently.

Modernize Your Enterprise Data Infrastructure

Consult with our data architects to design your high-throughput lakehouse architecture.

Architect Data Lakehouse