Unified Big Data & Lakehouse platforms engineered for enterprise scale and governed analytics.
ByteWave delivers unified Big Data architectures across Snowflake, Databricks, Amazon Redshift, and Google BigQuery. From multi-petabyte migrations off legacy mainframes, Teradata, and Netezza to real-time streaming lakehouses with Apache Iceberg and Delta Lake, we eliminate data silos while ensuring ironclad governance, sub-second query performance, and predictable FinOps.
What we deliver
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01
Enterprise Snowflake & Databricks Estates Production Snowflake warehouses with Snowpark and Cortex AI; Databricks Lakehouses with Unity Catalog, Delta Lake, and Mosaic AI.
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02
Amazon Redshift & Google BigQuery Solutions High-concurrency cloud data warehouses, serverless analytics, multi-cloud data exchanges, and hybrid lakehouse topologies.
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03
Legacy Warehouse Migrations Turnkey migrations off Teradata, Netezza, Oracle Exadata, Greenplum, and Hadoop clusters with semantic equivalence and zero data loss.
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04
Open Table Formats & Interoperability Apache Iceberg, Delta Lake, and Hudi on S3, ADLS, and Google Cloud Storage, enabling zero-vendor-lockin query engines.
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05
Governed Metadata & Data Mesh Unified cataloging across Unity Catalog and Horizon, tag-based column masking, row-level security, lineage tracking, and automated audit evidence.
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06
Big Data FinOps & Query Optimization Continuous warehouse right-sizing, auto-suspend policies, materialized caching, clustering keys, and 30-50% compute spend reduction.
Engagement model
Big Data estate architecture review, legacy migration playbook, automated data reconciliation engine, wave-based production cutover, 90-day hyper-care, and ongoing 24/7 SRE platform operations.
Outcomes you can measure
- 40–60% reduction in analytics compute and warehouse licensing costs.
- Sub-second query latencies on multi-billion row datasets.
- 100% automated regulatory compliance sign-off (SAMA, CBUAE, BCBS 239).
- Zero unplanned downtime during enterprise platform cutovers.