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Databricks
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Infuse AI into every facet of your business
Most popular alternative: DeClutr (39 saves)
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The Databricks Platform is an expansive data intelligence platform infused with generative artificial intelligence capabilities. It is designed to streamline data management and operations for businesses, allowing for efficient unification of many aspects related to data, AI and governance.
This platform provides a unified approach towards dealing with data, analytics, and AI. Users have access to a range of features, such as a serverless data warehouse for SQL analytics, ETL and orchestration for batch and streaming data, data reliability and security, and real-time analytics.
It facilitates building, selling, and growing businesses by connecting your existing tools to your shared data space known as Lakehouse. It also supports the construction and deployment of machine learning and generative AI applications.
Moreover, the platform enables collaborative data science at scale. It fosters the development of generative AI applications without compromising on issues of data privacy or control.
Additionally, the platform provides the ability to empower all users in an organization to uncover insights from data through natural language. Functions beyond data, including training, certification, events, blogs, podcasts, and customer support, are also offered.
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Releases
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January 3, 2021
Initial release of Databricks.
Pricing
Pricing model
Free Trial
Paid options from
$0.15/unit
Billing frequency
Pay-as-you-go
Prompts & Results
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Databricks was manually vetted by our editorial team and was first featured on May 15th 2024.
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15,93027Released 1mo agoFree + from $32.68/mo
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16,84519Released 16d agoFree + from $19.99/mo
Pros and Cons
Pros
Unified approach for data management
Serverless data warehouse
ETL and orchestration support
Batch and streaming data handling
Promotes data reliability and security
Real-time analytics
Facilitates business growth
Data science collaboration at scale
Prioritizes data privacy and control
Natural language data insights
Provided training and certification
Efficient data unification
Hosts events and podcasts
Includes comprehensive customer support
Serves startups
Lakehouse data architecture
Connects existing tools
Partner integration options
Cost calculator
Teaching platform connections
Open source technologies support
Offers resources for data migration
Professional services available
Ease of integration with existing tools
Industry-specific solutions
Data sharing capabilities
Data warehousing for SQL analytics
Governance for all data and assets
Data lineage and quality control
Experiment tracking automation
Monitoring models at scale
Industry leader collaborations
View 27 more pros
Cons
Lacking third-party integrations
No mobile application
Potential over-reliance on Lakehouse
Interface not user-friendly
Lack of customizability
Expensive licensing
Steep learning curve
Limited ETL functions
No offline operation
View 4 more cons
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Q&A
What is Databricks?
Databricks is a comprehensive data intelligence platform infused with generative artificial intelligence capabilities. It is crafted to streamline data management and operations for businesses, facilitating an efficient union of numerous factors associated with data, AI, and governance. It bears the distinction of being the world's first data intelligence platform energised by generative AI, designed not only to deal with data and analytics but also to infuse AI into all facets of your business.
What are the primary features of Databricks?
The significant features of Databricks include a serverless data warehouse for SQL analytics, ETL and orchestration for both batch and streaming data, data reliability and security guarantee, real-time analytics provision, and collaborative data science at scale. Additionally, the platform fosters the development of generative AI applications, complies with needs of data privacy and control, and empowers all users in an organization to uncover insights from data via natural language. It also provides additional functions including training, certification, events, blogs, podcasts, and customer support.
How does the serverless data warehouse in Databricks work?
The serverless data warehouse in Databricks is designed for SQL analytics. This system does not require server management, which means that users won't have to worry about infrastructure planning, cluster sizing, or resource provisioning. It facilitates efficient and proficient query processing for extremely large datasets, enabling rapid insights.
Can Databricks handle both batch and streaming data?
Yes, Databricks can effectively handle both batch and streaming data. Its ETL features and orchestration mechanisms are equipped to efficiently process batch data, and handle streaming data ensuring consistent delivery of real-time insights, enhancing the decision-making process.
How does Databricks ensure data reliability and security?
Databricks ensures data reliability and security by using rigorous data management practices. It provides comprehensive solutions for data reliability by preventing data loss, data corruption, and enabling efficient data recovery strategies. For data security, Databricks employs stringent measures to protect data at all times including rigorous access controls, encryption and secure data sharing practices.
What are the real-time analytics capabilities of Databricks?
Databricks boasts an array of real-time analytics capabilities. It allows data ingestion in real-time, enables immediate querying and analysis of incoming data. Those capabilities expedite the decision-making process, triggering immediate responses to changing business environments.
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