Compare - Mozart Data VS Apache Spark

Here’s the difference between Mozart Data and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.

About Mozart Data

Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Instead of piecing multiple tools together, get everything you need to set up a modern data stack (including ETL, a Snowflake data warehouse, and data transformation tools) in an hour, get visibility into your data pipelines, and ensure your data is reliable. Spend less time and money on your data infrastructure, reduce your time to insight by 76%, and create a data-driven culture from the start.

About Apache Spark

Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.

Comparison Table

Overview
CategoriesManaged Data StackData Modelling and Transformation
StageEarly StageLate Stage
Target SegmentSMBs, Mid SizeMid Size, Enterprise
DeploymentSaaSOn Prem
Business ModelCommercialOpen Source
PricingFree trialFreemium
LocationCalifornia, USUS
Companies using it
FOX logoPluralsight logostreamnative logoterality logoCircleUp logoInfoPrice logoCHONGTECHNOLOGIES logoFanatics Inc logoDashlane logoSelectDB logoApache Doris logodadosfera logo
Contact info
linkedin icon
twitter icon
twitter icon

Add to compare

Similar Companies
Prequel logo
Prequel
Managed Data Stack
Keboola
Data Workspace/ Collaboration, Managed Data Stack
y42 logo
y42
Business Intelligence (BI), Managed Data Stack
Cascade Labs logo
Cascade Labs
Managed Data Stack