Operationalize your data.
Turn AWS insights into business results with Reverse ETL.
LakeStack Reverse ETL bridges the last mile between your data lake and your daily operations, pushing governed intelligence directly into the apps your teams live in, moving from central strategy to field-level execution.
Don't just store intelligence. Deploy it.
LakeStack Reverse ETL transforms your data foundation from a static archive into a dynamic engine that feeds your CRM, marketing automation, and customer support systems in real time.
Empower sales and service reps with live health scores and enriched customer profiles without them ever leaving their primary tools.
Create a continuous cycle where operational tools provide raw data and receive back high-value, AI-driven signals to trigger next steps.
Replace a mess of custom API scripts and manual "exports" with a robust, enterprise-grade framework for outbound data synchronization.
Built on AWS, designed for scale
LakeStack SAP replication pipelines leverage AWS-native services to deliver security, scalability, and operational reliability at enterprise scale.
Durable object storage as the data lake foundation for all replicated SAP datasets.
Catalogs SAP datasets, detects schemas, and performs transformation and data preparation.
Orchestrates replication workflows and handles event-driven processing tasks.
Coordinates replication events and triggers downstream transformation pipelines.
Enables high-performance querying of structured SAP data for reporting and intelligence.
Enforces secure, role-based access control across all replication pipelines and datasets.
Move refined data from your lake to your front lines
Connect your centralized intelligence directly to the operational layer, integrating everything from sales pipelines to internal productivity tools.
Sync insights the moment they are generated. Our event-driven architecture ensures your operational systems aren't waiting for a nightly batch job.
Translate complex cloud datasets into the exact object models and field types required by external SaaS APIs with built-in error checking.
Minimize API consumption and latency by only pushing "delta" changes, updating records only when new information is actually available.
Applify, the team behind this AI innovation, built LakeStack as a true AWS-native data foundation that lives entirely inside your AWS account, giving you full sovereignty, governed lakehouse capabilities, and production-ready AI value in weeks, without tool sprawl or external dependencies.
- Supports Agentic AI using Bedrock and SageMaker
- Uses Apache Iceberg open table format
- Enforces Lake Formation fine-grained governance
- Handles schema drift automatically every time
- Provides built-in active metadata and lineage
- Features self-healing real-time pipelines
- Eliminates all third-party tool dependencies
- Enables query flexibility with any engine
- Ensures full data sovereignty and control
- Offers automatic sensitive data classification
Frequently asked questions
Standard ETL (Extract, Transform, Load) moves data into a data platform for analysis. Reverse ETL moves that data back out to your operational tools (like Salesforce or Zendesk) so your teams can actually act on the findings.
It doesn't replace them, it makes them more powerful. Instead of just looking at a chart, your teams can now see the specific data points that fueled that chart right inside the apps they use to talk to customers.
Security is non-negotiable. LakeStack uses AWS Secrets Manager to protect your integration keys and ensures that every data sync adheres to your strict enterprise governance and compliance rules.
LakeStack includes a rigorous validation layer. We map and check the data against the destination's requirements before the transfer happens, ensuring only clean, high-fidelity data reaches your operational systems.
No. We’ve built the "plumbing" so you don’t have to. LakeStack provides standardized connectors and a visual mapping interface that reduces the need for custom-coded integrations and long-term maintenance.
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Ready to operationalize your AWS data?
Connect LakeStack to your SAP environment and start building the unified data foundation your enterprise needs.
