Organizations use Databricks for analytics queries, data processing, ETL, machine learning, AI, and data engineering on multi-node clusters. They appreciate its ease of use and scalability with features like a collaborative notebook interface, support for SQL, Python, and R, and excellent data processing. Databricks needs better visualization, integration, and support for improvement.
Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.
I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.
Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.
I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.
Dataiku Data Science Studio is a multifaceted platform praised for its ability to tackle complex data tasks across various industries. It serves several core functions: advanced analytics for creating predictive models, data preparation involving cleansing and integration, and machine learning project support from design to deployment. Users also utilize Dataiku for data visualization and reporting, enhancing decision-making and insight sharing.
Key features include an intuitive visual interface that simplifies data pipeline construction without extensive coding, and compatibility with multiple data science languages like Python, R, and SQL, promoting teamwork. The platform's robust automation and scalability support large datasets and complex algorithms, benefiting organizations by enhancing efficiency, teamwork, and productivity, while also helping achieve business goals and cost savings.
Pricing is pretty steep. Dataiku is also not that cheap.
Pricing is pretty steep. Dataiku is also not that cheap.
