Odaseva Data Innovation Forum Recap: Modern Architecture for Data at Speed and High Availability

The Odaseva Data Innovation Forum is a premier annual virtual event that convenes Salesforce Architects and data experts including Salesforce Certified Technical Architects (CTA). Each year the forum provides practical guidance and explores strategies on maximizing the value of enterprise Salesforce data, focusing on AI-driven architecture, performance optimization, security, and compliance in high-scale, evolving environments.

The session, “Modern Architecture: API speed 1800X, hybrid AI/Datalakes, Customer 360, Availability”, featured Odaseva leaders:

• Sovan Bin, CTA, CEO and Founder
• Ozgur Gurkan, CTA, VP of Product, Data Platform
• Amanda Stewart, SVP of Customer Solutions

They addressed the architectural challenges enterprises face in achieving a complete, highly available, and secure Customer 360 view—all while building an AI-ready data foundation in hybrid Salesforce environments.

Read the recap below to learn their vision for a modern data architecture, and watch the webinar replay here.

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The Paradox of Volume vs. Velocity

The session opened with a stark reality: enterprise data has grown from millions to billions of records, yet traditional SaaS APIs (like the Salesforce Bulk API) haven’t kept pace. This creates a bottleneck where business demands for data clash with technical limits.

The solution? Odaseva Data Edge, which decouples data processing from the Salesforce platform’s limits. For example:

• A large bank compared the speed of Data Edge against Salesforce Bulk API V2.0 and measured it to be 1800× faster, demonstrating how enterprises can unlock the full potential of Salesforce data. (For more details, see the Salesforce Ben article here.)

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The "Zero Copy" Future and Customer 360

We live in a multi-system world. Companies rarely run on a single Salesforce Org anymore; they juggle multiple Orgs alongside ServiceNow, Microsoft Dynamics, and Snowflake.

The old method of copying all that data into one central hub is costly and slow. The speakers advocated for a federated "Zero Copy" architecture.

• Zero-Copy Access and Unification: Data Edge federates access across multiple systems (Salesforce Multi-Org, ServiceNow, Microsoft Dynamics, Snowflake) without creating more copies.
• Language Agnostic Access: Data Edge unifies the interaction language, supporting native APIs (Bulk/REST), Table API (ServiceNow), OData (Microsoft Dynamics), and SQL, enabling developers to query all systems using a single language.
• In-CRM Visibility: Users in one CRM (e.g., Salesforce) can instantly access data from external systems (e.g., a "Do Not Contact" flag from Snowflake or an incident record from ServiceNow) in real-time or near-real-time via a light-weight API call, providing immediate, comprehensive customer context.

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Turning Backups into Business Assets

Historically, backups were an insurance policy sitting in cold storage. Odaseva argues that in the AI era, this backed up data must be put to work.

To establish an AI-ready foundation, data must be accessible to lake houses with maximum freshness to feed complex models and reduce the "distance" between analysis and customer reality.

By shifting the mindset from "Disaster Recovery" to "Active Replication," businesses can achieve a 5-minute Recovery Point Objective (RPO). This means your data lake (Snowflake or Databricks) is never more than 5 minutes behind reality, bridging the gap between what is happening now and what your AI models are analyzing.

Note: for more about this topic, read the first blog of the 2026 Salesforce Data Trends Series.

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High Availability: The "Five Nines"

As companies move toward autonomous AI agents, system uptime becomes non-negotiable. If Salesforce experiences instability, your business logic cannot simply stop.

The session showcased Disaster Recovery as a Service (DRaaS). If the primary Salesforce instance becomes unresponsive, Data Edge detects the outage and automatically fails over to the cached data copy. This allows critical integrations to continue functioning seamlessly, aiming for 99.99% uptime.

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Security in the Age of AI

Finally, the discussion turned to the "CIA Triad"—Confidentiality, Integrity, and Availability. With data flowing faster and more freely, the attack surface grows.

To combat threats like token theft or government subpoenas (U.S. CLOUD Act), the architecture must include:

• Protocol Masking: granular control over what data is revealed to which integration.
• End-to-End Encryption: protecting data in transit and at rest
• Sovereignty: ensuring third parties cannot access your data, regardless of physical location.

Note: For more about these threats, read the Trends e-book which covers token theft security threats and the US CLOUD Act in more detail.

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Building the Future of Enterprise Data

This session was just one of the many strategic deep dives featured at the 2025 Odaseva Data Innovation Forum.

If there is one unified takeaway from this year’s event, it is that the role of the Salesforce Architect is evolving rapidly. As we navigate the shift toward AI-driven enterprises, the conversations happening here are setting the blueprint for the next generation of data management.

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Watch all the On-Demand Sessions of all the webinars from the Data Innovation Forum here.

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