Here’s the difference between Looker and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
Looker is a data integration and visualization solutions, provider. It offers cloud-based data integration and visualization platform to enterprises. It enables businesses to access data that is connected from multiple different sources. This includes cloud applications such as Salesforce, Zendesk, business planning applications, and web analytics tools. It also provides a custom visualization library and pre-modeled external datasets such as weather and demographics data. It provides solutions to industries including eCommerce, media, healthcare, and gaming among others. Some of its notable clients include Buzzfeed, Intercom, Twilio, and Hubspot, etc.
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.
Overview | ||
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Categories | Business Intelligence (BI) | Data Modelling and Transformation |
Stage | Late Stage | Late Stage |
Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
Deployment | SaaSOn Prem | On Prem |
Business Model | Commercial | Open Source |
Pricing | Contact Sales | Freemium |
Location | California, US | US |
Companies using it | ||
Contact info |