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Top 3 Data & Analytics Tools
Snowflake vs Databricks vs Qlik: What Tech & Product Professionals Think
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Arbolus Marketing Team
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From handling large datasets to building analytics workflows, every data platform comes with its own strengths and trade-offs. We looked at reviews on Arbolus, an expert network where professionals review the software they use every day, to see how Snowflake, Databricks and Qlik compare for Tech & Product teams, and what actually works (and doesn't) once you're using them day to day.
Snowflake
Snowflake is a cloud data platform that separates storage and compute, used for data warehousing, analytics and secure data sharing.
NPS: 53
What reviewers like: Professionals point to Snowflake's flexibility as its biggest strength: storage and compute scale independently, so teams can adjust each without over-provisioning the other. Secure data sharing is another plus, making it easier to collaborate with other teams and external partners without duplicating data.
What reviewers would change: The trade-offs show up in day-to-day management. Credit usage needs active monitoring, since costs can climb quickly without oversight. Some professionals also note that Snowflake's machine learning capabilities lag behind Databricks, making it a stronger fit for storage and analytics than for building ML models in-house.
For more details on Snowflake, click here.
Databricks
Databricks is a unified data and AI platform built on a lakehouse architecture, bringing data engineering, analytics, model training and deployment together in one place.
NPS: 48
What reviewers like: The standout feature for Databricks is having data engineering, analytics, model training and deployment all in a single environment, which cuts down on juggling separate tools for different stages of a project.
What reviewers would change: That breadth comes with a learning curve. Getting the most out of the platform takes real technical expertise, and professionals note that simpler reporting tasks can end up costing more than they would on a lighter-weight tool.
For more details on Databricks, click here.
Qlik
Qlik is a data integration and business intelligence platform used to connect data sources and turn them into dashboards and reports for the business.
NPS: 29
What reviewers like: Professionals value Qlik for connecting data from different sources and making it easier to investigate issues and bring information together into clearer reporting for the business.
What reviewers would change: The downside is the ramp-up: learning the platform and managing complex data models takes time, and that complexity grows with larger datasets.
For more details on Qlik, click here.
Snowflake vs Databricks vs Qlik: quick comparison
Platform | NPS | Best for |
|---|---|---|
Snowflake | 53 | Teams that need storage and compute to scale independently, with secure data sharing built in |
Databricks | 48 | Teams running data engineering, analytics and machine learning in one environment |
Qlik | 29 | Teams that need to connect multiple data sources and simplify reporting across the business |
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