lavalake vs. Snowflake
Cloud convenience. Your own data center.
Snowflake or lavalake? Start with the deployment model. Compare a managed cloud data platform with a data cloud on your own infrastructure, looking at costs, data formats, AI and operational responsibilities.
Choose with your workload in mind.
- Define the task
- Test side by side
- Calculate total costs
Snowflake alternative
Choose where your platform runs
If your data platform must run in your data center, deployment is a central selection criterion. lavalake brings SQL, a lakehouse, search and dashboards into a shared interface there.
Measure everyday costs
Compare a monthly platform license with your cloud bill. Include hardware, people, power, models and migration on both sides to make the decision meaningful.
Connect AI to governed data
With lavalake, people and agents access defined metrics and data under their respective permissions. A pilot should establish whether your questions are answered with the right data and approvals.
The details that matter
lavalake and Snowflake compared
This comparison covers self-hosted lavalake and Snowflake as a cloud service. Snowflake features can depend on edition, region and configuration.
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| Criterion | lavalake | Snowflake |
|---|---|---|
| Deployment | In your data center, on rented servers or on cloud infrastructure of your choice. You choose model connections and outgoing data flows. | Cloud service on AWS, Azure or Google Cloud. The platform runs entirely on cloud infrastructure.[1] |
| Open tables | Tables in Apache Iceberg on S3-compatible storage with Nessie as catalog. | Supports Apache Iceberg with different storage and catalog options; Snowflake is not limited to proprietary tables.[4] |
| AI and agents | Built-in assistant and MCP server. Supported self-hosted or external language models can be connected. | Cortex Agents combine tools including Cortex Analyst for structured data and Cortex Search for retrieval.[3] |
| Permissions | Delegated user identity, row policies, column masking and logged tool calls. Changes pass through approvals. | Row access policies are available; the documented feature requires Enterprise Edition or higher.[5] |
| Costs | Predictable platform licensing by active users and support, with no credits per data query. You choose your infrastructure provider, compute capacity and plan. Budget infrastructure, operations, model usage and migration separately. | Credit-based compute, plus storage and applicable data transfer. Services such as Cortex have additional billing rules.[2] |
| Operations | Your team or an appointed IT service provider handles operations. An in-house admin team is not required; agree responsibilities, updates and backups. | The provider operates the platform. Customers still manage data models, access policies and cost-efficient usage.[1][2] |
Sources · Reviewed
- [1] Snowflake: Cloud platforms
- [2] Snowflake: Overall cost
- [3] Snowflake: Cortex Agents
- [4] Snowflake: Iceberg tables
- [5] Snowflake: Row access policies
lavalake: Product documentation · Licensing · Current feature status
When lavalake fits
You want to choose where your platform runs and who operates it, with a shared environment for data, dashboards and AI. Use owned or rented infrastructure, operated by your team or an IT service provider.
When Snowflake fits
You want platform operations delivered as a cloud service and already rely on Snowflake services working together. Before moving, review dependencies on Cortex, data pipelines and SQL features.
Put it to work
Start with a workload that matters
Choose a recurring report or an AI question from a business team. Bring representative data and compare results, query times, permissions and monthly total costs. Open table formats support data reuse; applications and permissions still need to be evaluated.
Three steps to a useful evaluation
Define the task
Select representative data, queries and user roles. Agree on required functions and acceptance criteria.
Test side by side
Compare results, permissions, response times and the work needed to operate the required workflows.
Calculate total costs
Include licenses, infrastructure, models, operations and migration over the same period.
Your questions, answered
Is lavalake a complete replacement for Snowflake?
The right scope depends on the features you use. Review SQL dialect, pipelines, integrations, governance and AI tools. Moving selected workloads may make sense without replacing the entire environment.
Is lavalake always cheaper?
Economics depend on utilization and operating effort. Compare total costs over the same period. The TCO calculator provides an adjustable model; your pilot supplies actual measurements.
Must all data move at once?
You can start with a defined use case. Agree in advance how data will be refreshed, results reconciled and existing reports kept running during the evaluation.
Do I need my own data center or admin team?
No. lavalake can also run on rented servers or cloud infrastructure of your choice. An IT service provider you appoint can handle setup, updates and backups. Hosting and operational services are arranged and budgeted separately from the platform license.
Evaluate your use case with lavalake.
Let's explore your data sources, your use case and the right starting point together.