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Overview

Description Databricks is a compact data management platform that enables businesses to unify their analytics, data and AI, storing them all in a secured location. Users get to unify their entire data ecosystem belonging to different standards and formats. The software includes collaborative features allowing team members to work together across the entire data and AI workflow. It also brings collaborative notebooks within a unified portal enabling companies to work easily with Python, R SQL and Scala. Databricks includes openness and flexibility which provides reliability and performance within the data warehouses. These qualities of the platform make it a perfect solution for structured, unstructured and semi-structured data types. With Databricks, businesses can use their existing BI tools to analyse the updated metrics in real-time. Furthermore, the software also comes equipped with a heap of solutions facilitating a complete ML lifecycle management which supports any data type across multiple scales. This ML lifecycle also enables businesses to train models and manage their deployment in a way that best serves their individual purposes. Read more Dremio is a comprehensive SQL lakehouse platform helping out companies with interactive analytics and high-performing BI on data lake storage. The platform eliminates costly, rigid and complex data pipelines making it easier for users to move and copy data into the proprietary data warehouses. In addition, it also eliminates performance-oriented copies of data, such as extracts, cubes and aggregation tables to provide lightning-fast analytics. To ease it down further for users, the software removes inconsistency and data sprawl, besides offering consistent and centralised data semantics in real-time. Moreover, with Dremio, companies can also discover, analyse, share and curate data sets in a single place. They can build interactive dashboards on their data lake in order to leverage native Dremio connectors in Power BI and Tableau. The platform also helps users with seamless workload management, comprising multiple concurrencies using an elastic architecture that grows infinitely. Ultimately, users can also perform record-level mutations and get access to past data on their data lake. Read more
Pricing Options
  • Free Trial Not Available
  • Starts at $0.07. Offers Custom plan.
  • Free Trial Available
  • Offers Custom plan.

Features

Total Features
0 Features
0 Features
Common Features for All

Technical Details

Organization Types Supported
  • Individuals
  • Freelancers
  • Large Enterprises
  • Medium Business
  • Small Business
  • Individuals
  • Freelancers
  • Large Enterprises
  • Medium Business
  • Small Business
Platforms Supported
  • SaaS/Web/Cloud
  • SaaS/Web/Cloud
Modes of Support
  • Business Hours
  • Online
  • Business Hours
  • Online
API Support
  • Available
  • NA

Reviews & Ratings

Pros & Cons
  • Unifies analytics, data, and AI in a secure location.
  • Collaborative features for seamless teamwork.
  • Supports structured, unstructured, and semi-structured data types.
  • Enables real-time analysis with existing BI tools.
  • Complete ML lifecycle management for various data types and scales.
  • Can be complex to set up and manage.
  • May require additional resources for optimal performance.
  • Interactive analytics and high-performing BI on data lake storage.
  • Eliminates costly and complex data pipelines.
  • Provides consistent and centralized data semantics in real-time.
  • Enables discovery, analysis, sharing, and curation of data sets in one place.
  • Seamless workload management with elastic architecture.
  • May require specialized expertise for implementation.
  • Can be resource-intensive for large data sets.

AI-Generated from the text of User Reviews

Pricing

Pricing Options
  • Free Trial Not Available
  • Starts at $0.07. Offers Custom plan.
  • Free Trial Available
  • Offers Custom plan.
Pricing Plans
Monthly Plans Annual Plans

Data Engineering Light $0.07 $0.07

Data Engineering $0.15 $0.15

Data Analytics $0.40 $0.40 per month

Standard $0.07 $0.07

Premium $0.10 $0.10

Enterprise $0.13 $0.13

Dedicated Custom

Dremio Cloud Enterprise Edition Others

Dremio Software Enterprise Edition Custom

 
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View Detailed Pricing

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Screenshots & Videos

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Vendor information

Company Details Located in: San Francisco, California Located in: Santa Clara, California Founded in: 2015
Contact Details

1-866-330-0121

https://databricks.com/

Not available

https://www.dremio.com/

Social Media Handles

FAQs

What are the key differences between Databricks and Dremio?

Databricks is a data management platform that unifies analytics, data, and AI, while Dremio is a SQL lakehouse platform that provides interactive analytics and high-performing BI on data lake storage.

What are the alternatives to Databricks?

The top alternatives to Databricks are Snowflake, Dremio, Dataiku DSS, Datascale, and Azure Data Lake Analytics.

Which SaaS products can Databricks integrate with?

Databricks integrates with Microsoft Power BI, Tableau, Looker, and Alteryx.

Which product is better for managing structured and unstructured data?

Databricks is a better choice for managing structured, unstructured, and semi-structured data types.

How does the data management approach of Databricks differ from Dremio?

Databricks unifies data and AI in a secure location, while Dremio eliminates the need for costly and complex data pipelines.

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