Connect & ingest

Connect every source, without building pipelines

Every SaaS tool, database, ERP system, file, and IoT device speaks its own language. LakeStack connects them all through a single, standardized ingestion layer, so data flows securely and consistently into your environment without custom pipelines.

One ingestion layer

For all the context your AI needs

LakeStack brings every source, format, and ingestion mode into one system, so data enters your foundation structured, governed, and usable from the start.

Pre-built connectors for enterprise sources

Connect SaaS tools, databases, and ERP systems with pre-built connectors, and continuously sync data into your environment without building or maintaining integrations.

Schema preserved by default

Ingested data maintains schema, relationships, and consistency. AI-assisted detection automates 90-95% of field mapping on first load, and adapts automatically when sources change.

Unstructured data, organized

Files, logs, documents, and semi-structured data are ingested alongside structured sources, with classification and metadata applied as part of the ingestion process.

APIs and event streams

Custom applications, APIs, and event streams are integrated through standardized interfaces, allowing real-time and event-driven data to flow into the same ingestion layer.

Unified ingestion across all modes

Batch, micro-batch, CDC, and streaming ingestion operate within a single system, where data movement follows a consistent flow regardless of how each source updates.

All your data, in one place

Connect everything. Maintain nothing.

LakeStack brings data from SaaS applications, databases, and operational systems into a single, governed foundation, so you don’t have to manage connectors, pipelines, or sync issues across tools.

Map your data sources before you build anything

A solution architect walks through every source system you need to connect and tells you plainly which ones are pre-built, which ones need configuration, and how long it takes. No sales fluff.

Get a technical product walkthrough

Why it’s different

Not another ingestion tool

Most tools connect data. LakeStack removes the need to manage how it moves, changes, and stays usable over time.

Dimension

Connector-only SaaS tools

LakeStack ingestion

Data movement

Data is routed through external systems before landing in your environment.

Data is ingested and processed entirely within your cloud environment. Data never leaves your account.

Pricing model

Pricing scales with rows moved or data volume, so costs increase as usage grows.

Ingestion is part of a one-time platform license, with infrastructure billed directly by your cloud provider.

Governance at ingestion

Applied after ingestion through separate tools and policies.

Applied at ingestion, with classification, access control, and lineage starting at the source.

Connection to transformation

Hand off to another tool

Same system, no handoff

Schema evolution

Upstream changes require manual updates, often breaking downstream datasets.

Schema detection and evolution are handled within the ingestion flow, without breaking downstream use.

Maintenance

Ingestion becomes an ongoing engineering and cost management effort.

Ingestion operates as part of the foundation, without continuous engineering overhead or usage-based pricing.

Connect every source type, your way

Every environment is different. LakeStack supports the full range of enterprise source types and ingestion patterns, so whether your data lives in a SaaS tool, a legacy database, an ERP, or a file system, it flows into the same governed foundation without custom pipelines.

SaaS replication

Every SaaS app, Salesforce, HubSpot, Zendesk, Shopify, Stripe, and more, synced into one governed foundation, continuously and without custom integrations to maintain.

Database replication

Oracle, SQL Server, PostgreSQL, MongoDB, and more replicated via change data capture (CDC) into your lakehouse, so source systems always have a fresh, governed replica.

File replication

Bulk and incremental loads from CSV, Parquet, JSON, and XML sources via S3, SFTP, Dropbox, and local mounts with automatic schema handling and no manual pipeline work.

SAP replication

SAP ECC and S/4HANA are replicated into your cloud via CDC, capturing deltas, not just snapshots, so your analytics always reflect the current state of your ERP.

Reverse ETL

Push enriched, governed data back into the operational tools your teams work in: Salesforce, HubSpot, Zendesk, Intercom, so every system sees the same truth.

More resources

Solving the data ingestion vs data integration dilemma with LakeStack architecture

5 min

Moving from manual pipelines to a unified data ingestion framework with LakeStack

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Implementing production grade real time data integration via LakeStack

6 min

Frequently asked questions

How long does it take to connect a new source and have data flowing?

For most enterprise sources with pre-built connectors, initial data flow is typically live within hours of configuration, not days. The timeline for full production readiness depends on the number of sources and the complexity of your environment, which a solution architect will map out during your architecture review.

Do we need a dedicated engineering resource to manage ingestion once it's set up?

No ongoing engineering ownership is required. Because ingestion runs as part of the foundation rather than as a collection of hand-built pipelines, your team is not responsible for monitoring, fixing failures, or re-implementing connections when source APIs change. That maintenance burden is handled within the system.

Can LakeStack ingest from on-premise systems, or only cloud sources?

LakeStack supports ingestion from on-premise systems, including SAP ECC, legacy databases, and file-based sources via SFTP and local mounts, not just cloud-native sources. If your environment has a mix of on-premise and cloud systems, bring that to your architecture review, and we'll confirm coverage.

What happens if an ingestion job fails? Who is responsible for recovery?

Monitoring, alerting, and recovery are built into the foundation. If an ingestion job fails, the system surfaces the failure with lineage context pointing to the root cause. Your team is notified and can act, but they are not responsible for managing the orchestration layer or rebuilding broken pipelines to recover.

Will connecting more sources increase our licensing cost?

No. LakeStack is priced as a one-time license scoped to your deployment, not on a per-connector or per-source basis. Adding new sources does not trigger additional licensing fees. The only costs that scale with usage are the cloud infrastructure charges on your existing cloud bill.

How does ingestion interact with the governance and transformation layers?

Ingestion is not a standalone step that hands off to separate tools. Classification, masking, lineage, and transformation begin the moment data enters the foundation, governed from the first record, not applied after the fact. There is no gap between what is ingested and what is governed.