IN THE FIELD GUIDE
alphyn
alphyn.ai
Alphyn Lakehouse is an AI-native open lakehouse platform built on Apache Iceberg that enables enterprises to process petabyte-scale data with warehouse performance and lake economics. It supports multi-engine SQL, real-time streaming, batch replication, procedural SQL, and unified governance, deployable on-premises, any cloud, or air-gapped environments.
THE PRODUCT, BEYOND THE PITCH
Editorially reviewed · Sources checked Sep 10, 2026
A good fit for
- Enterprises needing AI-native, scalable, and open lakehouse platforms for large-scale data processing and analytics with sovereign storage and no vendor lock-in.
Know the limitations
- Migration from legacy MPP systems requires procedural SQL translation, which currently achieves about 70% automation, implying some manual rewriting is needed.
What you can do
- Data warehousing replacement for expensive proprietary warehouses with open lakehouse economics, offering 70% cost reduction and 10x faster queries without vendor lock-in.
- Real-time analytics combining stream processing and batch analytics on the same platform with sub-second latency and simplified operations.
Features
- Multi-engine SQL query layer optimized for various workloads sharing one unified metadata catalog and security framework.
- Real-time streaming with CDC capturing every INSERT/UPDATE/DELETE in milliseconds and complex event processing with windowed aggregations and stream joins.
- Batch replication supporting petabyte-scale daily throughput with built-in data quality features like row count reconciliation and duplicate detection.
- Procedural SQL accelerator compatible with PL/SQL and T-SQL dialects, enabling ~70% direct translation from legacy databases.
- Unified data governance with fine-grained RBAC, row/column security, SSO/OIDC, and audit trails across all engines.
Integrations
Not confirmed yet.
Platforms & data export
- Deployable on-premises, any cloud (AWS, Azure, Google Cloud), hybrid, multi-cloud, or air-gapped environments with Kubernetes-native architecture.
THE COST FOR YOUR TEAM
Go beyond the starting price.
Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.
Known monthly subtotal
$0.00/month
1 of 1 tools could not be priced with these inputs, so this is not the full cost.
| Tool / plan | Monthly | Per year | What this assumes |
|---|---|---|---|
| No pricing recorded yet. Check the official site, or ask the owner to add it. | |||
A practical workflow
- Migration involves auto-translating legacy SQL stored procedures, reducing migration timelines significantly while maintaining compliance.
- Deploy the platform on Kubernetes anywhere needed, leveraging multi-engine query layers and unified governance for workload optimization.
- Use built-in real-time streaming and batch replication capabilities to process and analyze data with consistent results and performance.
Based on the sources below. Editorial review does not imply hands-on product testing.
Alternatives to explore
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