Connect & ingest

One connected foundation for all data sources

Every SaaS tool, database, ERP system, file, and IoT device speaks its own language. LakeStack connects them all through a single, standardized, no-code ingestion layer, so data flows securely and consistently into your environment without custom pipelines.

Connect your data

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The impact

A single ingestion layer eliminates fragmented pipelines and manual work

LakeStack is not just a connector layer. It standardizes ingestion across all sources, patterns, and workflows inside your environment, without SaaS routing or fragmented tooling.

Get near real-time visibility with minimal latency

Remove repetitive integration and maintenance effort

Ensure consistent, reliable data movement across all systems

Add new data sources in minutes instead of weeks

What you can achieve

A single ingestion flow across every data source

LakeStack simplifies how data enters your ecosystem by standardizing ingestion across systems, formats, and patterns.

No-code data transfer from SaaS applications

Connect SaaS tools and continuously sync data into your environment without building or maintaining integrations.

Replicates structured data with schema integrity

Ingest data from core systems while preserving structure and relationships, so it stays reliable without manual fixes.

Automates the transfer of unstructured and semi-structured data

Collect logs, files, and system data automatically from multiple environments without setting up separate ingestion flows.

Enable ingestion from proprietary and IoT sources

Bring in data from custom applications and devices through standardized interfaces without building custom pipelines.

Multi-source ingestion supports both streaming and batch workflows

Ingest data from all systems in a unified way, whether it updates in real time or in intervals, without managing different pipelines.

Business ROI

Faster, simpler, and more reliable data ingestion

When ingestion is unified, organizations reduce operational overhead and improve the speed at which data becomes available across systems.

<5 min

Event data latency for near real-time visibility

80%

Faster access to unified data across systems

90%

Reduce integration effort with connectors & automation

How it works

Standardize data flow across systems

LakeStack simplifies data ingestion with a no-code approach. Connect your sources once, and reliable ingestion starts automatically.

1. Deploy the foundation

LakeStack sets up a standardized ingestion layer in your environment. This creates a secure and scalable base ready for all data sources.

2. Connect your sources

Add sources easily through the no-code interface by entering connection details. Supports SaaS applications, databases, files, APIs, proprietary systems, and IoT devices.

3. Activate ingestion

LakeStack automatically moves data using batch, CDC, or streaming patterns depending on the source, ensuring continuous and consistent data flow.

4. Centralize monitoring

All ingestion workflows are managed through event-driven orchestration with built-in monitoring, logging, and failure handling.

Customer story

Proven business impact

Discover how leading organizations use LakeStack to transform fragmented data sources into governed, high-impact business assets.

About Client

AFG.tech operates a multi-location dealership platform, with core data spread across CRM, workshop, and invoicing systems.

As the platform scaled, data remained siloed and inconsistently structured. Reporting depended on manual effort and custom pipelines, making it difficult to get a reliable, real-time view of operations across dealerships.

9-12

months of engineering effort avoided.

80%

reduction in ingestion and reporting workload.

AFG.tech replaced fragmented, pipeline-heavy data workflows with a unified, governed lakehouse, enabling real-time access to consistent, query-ready data across all dealerships.

View case study

About Client

Kior Healthcare operates across multiple clinical systems, with data spread across lab systems, ERP, bookings, imaging, and unstructured sources like PDFs and clinician notes.

As data volume and formats grew, teams relied on manual data preparation and file handling, making it difficult to access timely, reliable information for both clinical and operational decisions.

80%

reduction in manual data prep and file processing

70%

faster clinician and operational visibility

Kior Healthcare replaced fragmented, file-heavy data workflows with a unified, governed lakehouse, bringing structured and unstructured clinical data into a single, query-ready foundation.

View case study

What comes next

Explore what you can do after ingestion

Transformations

Prepare, standardize, and structure your data into analytics and AI-ready datasets with consistent logic across every pipeline.

Transform data

Activations

Deliver data directly into business systems and workflows to power real-time decisions, automation, and customer experiences.

Activate data

Frequently asked questions

Do we still use AWS services for ingestion?

Yes. LakeStack uses AWS services directly within your environment for data movement, storage, and processing. It does not replace or abstract them. Instead, it orchestrates these services into a cohesive ingestion system, so you get the benefits of AWS without having to design and manage everything yourself.

Where does data ingestion run?

All ingestion runs entirely within your AWS account. There is no external SaaS runtime, and your data does not leave your environment. This ensures full control, better security, and alignment with your existing cloud governance and compliance requirements.

How is this different from building ingestion on AWS ourselves?

AWS provides individual services, but you still need to design pipelines, manage orchestration, and handle failures. LakeStack delivers a complete ingestion system on top of AWS, so you avoid months of engineering effort while still keeping full visibility and control over your infrastructure.

Does this scale with growing data volume and sources?

Yes. LakeStack is built on AWS native infrastructure, which allows ingestion to scale automatically as your data grows. Whether you are adding new sources or increasing data volume, the system handles it without requiring redesign or additional engineering effort.

Can teams operate ingestion without LakeStack later?

Yes. Since everything runs within your AWS environment, your team retains access to the data and infrastructure. LakeStack manages ingestion workflows, but it does not lock your data or create dependency on external systems, giving you flexibility over time.