Odaseva Zero-Copy Data Sharing for Databricks

Traditional ETL tools act as pipeline plumbers, constantly fighting Salesforce API throttles and manual schema mapping. Odaseva flips this model by treating Salesforce data as a managed data product. We repurpose your existing backup and archive streams, bypassing API bottlenecks to deliver high-fidelity data directly to your lakehouse. This removes the pipeline maintenance burden on your engineering team, as we handle extraction, format uniformization, and complex object relationships as a managed service.

Performance bottlenecks in Salesforce integration usually occur at the extraction layer. Odaseva decouples extraction from consumption by preparing data in a secure, Delta-optimized vault first. Our architecture is engineered to outperform standard Salesforce API extraction limits by orders of magnitude, ensuring that even for Orgs with billions of records, your AI models and analytics dashboards never choke on data growth or physical movement latency.

The process is manifest-driven and utilizes the open Delta Sharing protocol. We ingest your secure Salesforce backups, convert them into optimized Delta Lake tables, and register them in your Unity Catalog as a Foreign Catalog. These "foreign tables" can be directly queried by Spark or Photon, consumed by Mosaic AI and autonomous agents, or used as the landing zone bronze layer within a larger Medallion Architecture—all without the latency or cost of Salesforce to Databricks physical data movement.

No. This is a fundamental advantage of our architecture. Because we uniquely reuse your data resilience streams (backups and archives), the activation process triggers zero additional calls to the Salesforce API for consumption. This protects your Salesforce production Org from the performance degradation often caused by heavy AI queries or high-frequency extraction, effectively maximizing your integration ROI by freeing you from expensive API dependence.

We employ a Zero Trust architecture that aligns with global data protection principles. Data remains privacy-compliant through end-to-end encryption with Bring Your Own Key (BYOK) support for your most critical datasets, providing absolute sovereignty over sensitive fields. For broader organizational needs, irreversible data masking and anonymization can be applied across all shared data products. Because the bridge is read-only and the underlying data is immutable, we ensure your primary Salesforce source of truth remains pristine and compliant while safely fueling Agentic AI and Mosaic AI workloads.

Because Odaseva is a Salesforce Data Resilience platform, handling API limits, schema drift, and SaaS outages is our core competency, not an afterthought.

Our architecture is designed to automatically detect throttling, handle retries, resolve silent sync failures, and resume extraction without data loss. Since we deliver data as a product, monitoring and resolving these interruptions is part of our managed service. If a disruption occurs, our team and automated systems handle the resolution and backfilling behind the scenes—ensuring you receive a reliable stream without ever having to debug a failed job.