What is Osmos used for?

Osmos is used to ingest, validate, and transform data from customers, suppliers, and partners before loading it into warehouses and apps.

Who should use Osmos?

Mid-market and enterprise data engineering, operations, and onboarding teams that regularly receive messy files from external partners.

Is Osmos still available as a standalone product?

Microsoft acquired Osmos in January 2026, and its standalone Uploaders, Pipelines, and Datasets products are being sunset into Microsoft Fabric.

How much does Osmos cost?

Osmos pricing started at $299 per month on a usage-based Basic plan, with a free trial but no free version.

What are the best alternatives to Osmos?

Alternatives to Osmos include Flatfile, OneSchema, Fivetran, and Airbyte for data onboarding and data ingestion pipelines.

Osmos Reviews, Features & Alternatives

Overview

What is Osmos?

Osmos is a data ingestion platform for bringing in data from customers, suppliers, and partners. It offers embeddable self-serve uploaders, no-code pipelines, and datasets that map, validate, and transform incoming files before loading them into warehouses and business systems. Later versions added AI data agents for Databricks and Microsoft Fabric. Mid-market and enterprise data, operations, and onboarding teams used Osmos to reduce manual cleanup of external data feeds.

Best for

Data EngineersCustomer Onboarding TeamsOperations TeamsMid-Market CompaniesEnterprise IT Teams

Product snapshot

Category: Data Extraction & Collection
Best for: External data ingestion
Deployment: Cloud
Free trial: Yes
Integrations: Snowflake, BigQuery, Salesforce, S3
AI features: Yes

Key features

Key features of Osmos

Self-serve uploaders

Let customers and partners upload files that are validated on entry.

No-code pipelines

Build recurring ingestion pipelines without writing transformation code.

Data mapping

Map incoming columns to target schemas and transform values automatically.

Data verification

Validate records against rules before data reaches downstream systems.

Job scheduling

Run ingestion jobs on schedules from multiple connected data sources.

AI data agents

Use AI agents for data engineering tasks in Databricks and Fabric.

Reviews

Osmos reviews

Overall

Nobody has reviewed

What users like

Wide range of data connectors
Pipelines built without writing code
Uploaders customers can use directly
AI help with column mapping

What users dislike

Standalone products are being sunset
Starting price of $299 monthly
No free plan available
Aimed at larger organizations

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Alternatives

Top Osmos alternatives

Flatfile
Best for
Customer data onboarding
Why choose it
Embedded importer and data onboarding platform
OneSchema
Best for
Embedded CSV imports
Why choose it
Fast spreadsheet validation for SaaS products
View OneSchema
Fivetran
Best for
Managed data pipelines
Why choose it
Hundreds of prebuilt connectors to warehouses
View Fivetran
Airbyte
Best for
Open-source data integration
Why choose it
Open-source connectors with self-hosting options

Integrations

Osmos integrations

Osmos connects external data sources to the warehouses and applications where teams need clean data. Listed integrations include Snowflake, Google BigQuery, Amazon Redshift, Amazon S3, PostgreSQL, MySQL, and MongoDB on the storage side, along with Salesforce, HubSpot CRM, NetSuite, Airtable, Google Drive, and Google Sheets for business apps. Uploaders and pipelines map incoming files to target schemas, apply validation rules, and push the results to these destinations on a schedule or on demand. Osmos also built data agents for Databricks and Microsoft Fabric, and its technology is now being folded into Microsoft Fabric following its acquisition.

FAQ

Osmos