Acumen Vega

 
Today’s enterprises rely on multiple data platforms — BigQuery, Redshift, Snowflake, SQL Server, and more—spread across hybrid and multi-cloud environments.
 

1. 🔹 Siloed, unstructured data makes integration complex and costly.
2. 🔹 Traditional ETL pipelines are slow, expensive, and redundant.
3. 🔹 AI & ML teams struggle to access high-quality training data at scale.

 
The result? Companies waste time and resources on data movement instead of AI innovation.

 
Acumen Vega automates data access and sharing by converting all legacy and multi-platform data into Apache Iceberg format.
 
Once ingested, BigLake and BigQuery can seamlessly read and process this data without transformation, duplication, or ETL overhead.
 
✅ Write Once, Read Anywhere – Unified Iceberg format ensures all tools can ingest data natively.
✅ Instant AI-Ready Data – Structured & unstructured data is accessible on-demand.
✅ 100x Faster ML Model Training – No conversion delays, AI at hyperspeed.
✅ Petabyte-Scale Performance – Designed for massive, enterprise-wide datasets.
✅ Eliminate Costly Data Duplication – Store once, access across platforms.
✅ Seamless Multi-Cloud Data Sharing – No vendor lock-in.

 
🔹 Optimized for Google Cloud – Direct integration with BigQuery, BigLake, and GKE.
🔹 Unmatched AI Readiness – Enables multi-billion parameter foundation models effortlessly.
🔹 Data-Centric AI Workflows – Eliminates complex ETL, accelerates ML and analytics.
🔹 ACID-Compliant & Interoperable – Versioning, time travel, and fine-grained access control ensure data integrity.

 
Acumen Vega automatically converts data into Iceberg format, ensuring smooth interoperability between on-prem and cloud environments.
 
🔹 Native BigQuery & BigLake Support – No extra setup required.
🔹 Multi-Source Compatibility – Works with SQL Server, Postgres, Snowflake, Redshift, and more.
🔹 Scalable on Google Kubernetes Engine (GKE) – Deploy effortlessly, scale instantly.
🔹 AI-Powered Data Flow – One-time or continuous, automatic data ingestion.

 
🔹 AI & ML Acceleration – Reduce ETL, eliminate data redundancy, and fast-track model training.
🔹 Continuous Data Flow – Automated, uninterrupted data ingestion at petabyte scale.
🔹 Advanced Data Governance – Auditing, lineage tracking, and granular access control.
🔹 Enterprise Data Interoperability – Seamless sharing across cloud and on-prem systems.

 
💡 All major cloud platforms (Google Cloud, AWS, Azure, Snowflake, Databricks) now support Iceberg for data sharing.
💡 Enterprises are moving away from loading data into Snowflake or BigQuery—instead, they store in Iceberg and consume data where needed.
💡 Legacy data migration is a challenge—Acumen Vega solves it by converting data into Iceberg format, enabling BigLake to leverage it instantly.
💡 Acumen Vega is the missing link between legacy data systems and modern AI-driven cloud architectures.

 
👉 Unlock the full potential of your AI & ML initiatives.
👉 Eliminate costly ETL & data duplication.
👉 Seamlessly integrate across Google Cloud & beyond.
👉 Request a Demo Now