Connect everything.
Leave nothing behind.
Your data lives across dozens of systems. LakeStack connects every source - SaaS applications, databases, event streams, files, and APIs - into a single, governed data foundation so every team works from complete, reliable data.
Data silos are the root cause of every downstream failure
When data cannot move reliably, nothing downstream works the way it should.
Every new source requires a custom connector. Engineers spend weeks building pipelines that break when an API changes, a schema shifts, or a vendor updates its authentication.
Batch jobs run overnight. Dashboards show yesterday's reality. Teams make decisions on data that is hours or days old, and nobody knows what is missing until an outcome is already wrong.
CRM data lives in Salesforce, ops data lives in the ERP, and financial data lives in a spreadsheet someone emails every Monday. Nobody has the full picture because nobody has built the pipes to create it.
How LakeStack delivers reliable data connectivity
Connectivity is not just about plugging in a source. It is about ensuring data arrives complete, on time, and in the right shape every single time.
Every source type your enterprise depends on
Whether your data is structured or unstructured, streaming or batch, cloud-native or on-premise, LakeStack connects it.
Connect CRM, ERP, marketing automation, HRIS, finance, and customer success platforms without writing a single line of connector code. Updates and schema changes are handled automatically.
S3, Azure Blob, GCS, SFTP, and local file systems. LakeStack handles structured and semi-structured file formats including CSV, JSON, Parquet, and Avro, with automatic schema inference.
PostgreSQL, MySQL, SQL Server, Oracle, and more. LakeStack uses change data capture to move transactional data in near-real time without impacting production database performance.
When a pre-built connector does not exist, LakeStack provides a framework for connecting proprietary systems and internal APIs without starting from scratch on every integration.
Kafka, Kinesis, SQS, and other streaming sources. LakeStack ingests high-velocity event data continuously so operational systems and AI models always have the latest signals.
Not everything lives in the cloud. LakeStack connects securely to on-premise databases, legacy systems, and hybrid environments using secure tunneling, without requiring inbound firewall rules.
What makes LakeStack connectivity different
Three properties that separate a managed connectivity platform from a collection of brittle integrations.
Data pipelines are only useful when they run consistently. LakeStack manages retry logic, error handling, and pipeline monitoring automatically.
You cannot trust data you cannot see. LakeStack provides end-to-end lineage, sync status, volume metrics, and anomaly alerts across every connected source.
Connecting five sources is easy. Connecting fifty, across multiple teams and environments, without chaos, requires architecture.
What connectivity unlocks in your sector
The sources differ. The requirement is the same: complete, current, governed data flowing to where decisions happen.
Unified patient, billing, and clinical data flowing into QuickSight population health dashboards and SageMaker risk models, all governed for HIPAA compliance with full data lineage.
- Unified patient 360 across EHR, billing, and scheduling systems
- HIPAA-compliant data lineage and access control
- Population health analytics and readmission risk modeling
Unified patient, billing, and clinical data flowing into QuickSight population health dashboards and SageMaker risk models, all governed for HIPAA compliance with full data lineage.
- Unified patient 360 across EHR, billing, and scheduling systems
- HIPAA-compliant data lineage and access control
- Population health analytics and readmission risk modeling
Unified patient, billing, and clinical data flowing into QuickSight population health dashboards and SageMaker risk models, all governed for HIPAA compliance with full data lineage.
- Unified patient 360 across EHR, billing, and scheduling systems
- HIPAA-compliant data lineage and access control
- Population health analytics and readmission risk modeling
Unified patient, billing, and clinical data flowing into QuickSight population health dashboards and SageMaker risk models, all governed for HIPAA compliance with full data lineage.
- Unified patient 360 across EHR, billing, and scheduling systems
- HIPAA-compliant data lineage and access control
- Population health analytics and readmission risk modeling
What replacing the foundation actually unlocks.
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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
LakeStack ships with pre-built connectors for the most common enterprise SaaS applications, relational databases, cloud storage systems, event platforms, and APIs. New connectors are added continuously, and a custom connector framework handles proprietary or internal sources that fall outside the standard library.
Schema changes are detected automatically. When a source adds a column, changes a data type, or restructures an object, LakeStack adapts the ingestion pipeline without manual intervention. This means your pipelines continue running and your downstream datasets stay complete when upstream systems change.
Batch connectivity syncs data at scheduled intervals, which is appropriate for sources that do not change frequently. Real-time and incremental connectivity uses change data capture or event-driven patterns to move data as it changes, which is required for operational dashboards, AI models, and workflows that need current data. LakeStack supports both, configured per source based on your latency requirements.
Yes. LakeStack supports secure connectivity to on-premise databases, legacy ERPs, and hybrid environments using encrypted tunneling. This does not require opening inbound firewall ports or restructuring your network architecture.
Connectivity is managed centrally. Data engineering teams define which sources are available, what access policies apply, and how sensitive fields are handled at ingestion. Individual teams access governed data through defined interfaces without needing direct source system access or the ability to create ungoverned pipelines.
LakeStack uses incremental processing patterns, which means cost scales with the volume of data that actually changes rather than with the total number of connected sources. Adding a low-volume source has minimal cost impact. High-volume sources are handled through optimized ingestion patterns designed to minimize compute consumption.
Stop building pipes. Start moving data.
LakeStack connects every source your business depends on into a single, governed data foundation, so your teams stop waiting for data and start making decisions with it.
