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Databricks is a cloud-based data analytics and AI platform built on Apache Spark. It provides a collaborative workspace for data engineers, scientists, and analysts to process big data and develop machine learning models. Databricks enables organizations to unify data lakes and warehouses for real-time insights. It supports SQL, Python, and R for data processing and analysis. The platform�s MLflow integration streamlines machine learning lifecycle management. Databricks offers auto-scaling and optimization for cost-effective cloud computing. Its Delta Lake technology ensures data reliability with ACID transactions. Businesses use Databricks to accelerate data-driven decision-making and AI adoption.
Databricks is a cloud-based data analytics and AI platform built on Apache Spark. It's used by data engineers, analysts, and scientists to unify data engineering, business intelligence, and machine learning workflows. It solves the challenge of data silos and pipeline complexity by offering a collaborative lakehouse architecture across structured and unstructured data.
Databricks accelerates data science, improves pipeline efficiency, and enables real-time analytics at enterprise scale.
Transparency Score: Measures how easy it is to understand an app’s pricing structure. A high score means clear, predictable costs with no hidden fees, while a low score indicates complex or opaque pricing.
Flexibility Score: Evaluates how adaptable an app’s pricing is to your needs. A high score means you can scale up/down, switch plans, or adjust licenses easily, while a low score suggests rigid contracts and limited customization.
Pricing Model:
Usage-based pricing by DBU (Databricks Unit) or reserved capacity.
Unified Data Lakehouse, Apache Spark, MLflow, Delta Lake, SQL Analytics, Notebooks, Auto Scaling Clusters, Collaborative Workspace
A fintech company uses Databricks to build machine learning models on transactional data and share insights across teams.
High-performance Spark engine, Built-in ML tools, Delta Lake support, Cross-team collaboration, Multi-cloud availability
Requires data engineering skill, Complex pricing, UI can be unintuitive, Some learning curve for non-SQL users
SOC 2, ISO 27001, HIPAA, GDPR, Encryption, Role-Based Access, Audit Logs
Databricks is a Forrester Wave leader for AI/ML platforms, used by Comcast, Shell, and Atlassian. Showcased at Spark + AI Summit and Google Cloud Next.
Snowflake, Google BigQuery, Amazon EMR, Dataiku, Dremio
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