Koddi enables secure, scalable, and flexible data sharing across virtually any modern data platform or ecosystem. Whether you’re using cloud data platforms, enterprise data marketplaces, or custom pipelines, our infrastructure supports the full spectrum of secure data exchange models - far beyond traditional file transfers or vendor-specific solutions.

Flexible & Secure by Design

Koddi supports a variety of secure data sharing models tailored to enterprise needs:

Cloud-native data share protocols such as Snowflake Data Sharing, Databricks Delta Sharing, Apache Iceberg, and similar governed shares enable real-time, access-controlled visibility into your datasets without unnecessary data copies.
API-driven integrations that can exchange data with any application capable of secure API communication, including CDPs, CRMs, DMPs, or bespoke enterprise systems.
Hybrid fallbacks such as SFTP, secure object storage pulls, or configurable ETL workflows for use cases that require specific operational contexts.
Governance & controls that can be tailored to data sensitivity and compliance requirements - read-only access, scoped views, time-bound tokens, and audit logging all help you retain visibility and control.

This gives you the freedom to collaborate with Koddi in the same way you would with any other strategic partner, while maintaining enterprise-grade data governance and security.

Two-Way Collaboration

Koddi's architecture doesn't just pull data in. It enables a two-way data exchange that works on your terms:

Inbound Data Sharing (From You to Koddi):

Product catalogs, inventory details, and pricing feeds for activation and targeting.
Conversions, offline events, and custom signals for closed-loop measurement and optimization.
Audience memberships & segment definitions for precision targeting (via secure shares, API, or async data feeds).

Outbound Data Delivery (From Koddi to You):

Curated reporting datasets delivered back into your data platform for performance analysis, pacing, ROAS, etc.
Log-level records for compliance, advanced analytics, or feeding into BI and machine learning workflows.

Together, these flows give you complete visibility into campaign performance, enable deeper analytics, and align with existing enterprise analytics workflows.

Supported Enterprise Sharing Patterns

Pattern	Usage	Technology
Native Cloud Data Shares	Real-time view of shared data without moving raw files (secure, governed	Snowflake Data Sharing, Databricks Delta Sharing, BigQuery Analytics Hub, Apache Iceberg, AWS Lake Formation
API + Event-Driven Integration	Programmatic, near-real-time data exchange with internal systems and applications	REST/GraphQL APIs, webhooks, Kafka, Pub/Sub, Kinesis, Segment, mParticle
Secure File Transfers / Async Feeds	Scheduled or on-demand delivery for batch workflows or legacy systems	SFTP, Amazon S3, Google Cloud Storage, Azure Blob Storage, secure FTP gateways
Customer -Managed ETL	Integration into existing analytics and activation pipelines	Fivetran, Airflow, dbt, Hightouch, Census, custom ETL framework

Supported Data Share Examples

Koddi supports delivery of the following detailed, event-level datasets to enable analytics, optimization, reporting, and compliance workflows. Events may be delivered via the secure patterns mentioned in the section above.

Event-Level Data Available for Secure Data Sharing

Koddi supports delivery of detailed, event-level datasets to enable analytics, optimization, reporting, and compliance workflows. Events may be delivered via secure data shares, APIs, or batch exports depending on your configured data sharing model.

Event type	Dataset	What it shows
Ad request	`AdRequests`	Records each eligible ad request evaluated by Koddi, including contextual, placement, and supply metadata.
Ad Eligibility evaluation	`AdEligibilityChecks`	Results of eligibility logic applied to campaigns, creatives, and products for a given request.
Auction decision	`AuctionDecisions`	Details of bids calculated and submitted by Koddi, including bid value, strategy, and constraints. Joinable with requests and impressions.
Bid adjustment	`BidAdjustments`	Automated or manual bid changes driven by bid automation, pacing, or optimization logic.
Budget evaluation	`BudgetEvaluations`	Budget checks and outcomes are applied during request and bidding flows.
Impression	`Impressions`	Successfully rendered ads, including placement, campaign, creative, and product identifiers.
Click	`Clicks`	User interactions with rendered ads.
Conversion	`Conversions`	Attributed downstream actions resulting from ad interactions, including online or offline events.
Revenue event	`RevenueEvents`	Revenue generated from attributed conversions or transactions.
Product eligibility	`ProductEligibility`	Evaluation of product-level eligibility, availability, and targeting rules.
Creative eligibility	`CreativeEligibility`	Determination of which creatives were eligible, filtered, or excluded for delivery.
Supply constraint	`SupplyConstraints`	Supply-side limits or controls applied during delivery, such as inventory caps or placement rules.
Pacing signal	`PacingSignals`	Signals generated by pacing logic to control spend, volume, or delivery rate.
Campaign state change	`CampaignStateChanges`	Activation, pause, or configuration changes to campaigns, line items, or rules.
Automation decision	`AutomationDecisions`	Decisions made by automated systems such as bid automation or optimization engines.
Reporting snapshot	`ReportingSnapshots`	Pre-aggregated reporting outputs generated for dashboards or downstream analytics.
Error or rejection	`DeliveryErrors`	Failed requests, rejected bids, invalid configurations, or policy-related exclusions with reason codes.

Enterprise Considerations & Best Practices

Secure data sharing isn’t just about moving files — it’s about enabling collaboration while preserving trust:

Governance & access controls: Apply least-privilege principles and scoped access.
Encryption & integrity: Data in motion and at rest should always be encrypted to protect sensitive fields.
Monitoring & audit trails: Track access and usage patterns to maintain compliance and traceability.
Data contracts & schemas: Define stable schemas and contracts to eliminate ambiguity and integration drift.

By integrating these controls into your data sharing strategy, you get scalable, secure collaboration that aligns with enterprise standards.

In Summary

Koddi’s data sharing approach isn’t limited to a single tool or format. We're a flexible, enterprise-ready ecosystem that supports both traditional and modern sharing paradigms. Whether your priority is governed access, scalable analytics, rich outbound delivery, or seamless integration with existing workflows, Koddi gives you the tools and the flexibility to do it securely and efficiently.