Home/New SaaS Software/Databricks vs AWS Lake Formation
Updated on: February 9, 2023

Compare Databricks vs AWS Lake Formation

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Overview

Summary

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

AWS Lake Formation is a service that allows users to easily create a secure data lake. Lake Formation makes it simple to gather and categorise the information from databases and object storage, then transfer it into a new data lake where it can be cleaned and sorted. It greatly benefits individuals by allowing them to easily create data lakes and convert data into forms that allow for speedier analyses. Furthermore, the programme offers a single location for all users and services accessing the data to set and enforce access rules that function at the table, column, row, and cell levels. User policies are executed consistently, removing the need to manually set them across multiple security and storage services, significantly reducing policy configuration work. In addition, the programme creates a data catalogue that lists all of the datasets accessible and who has access to them. This increases user productivity by assisting them in locating the appropriate dataset to examine. ..read more

Features

TECHNICAL DETAILS

Access Monitoring

24/7 (Live rep)

Business Hours

Online

Contact Number/Address

San Francisco, California / 1-866-330-0121

Seattle, Washington

API

N/A

Deployment

SaaS/Web/Cloud

Mobile - Android

Mobile - iOS

Mobile - Windows

Mobile - BlackBerry

Installed - Windows

Installed - Mac

Customers

Individuals

Freelancers

Large Enterprises

Medium Business

Small Business

Pricing

Pricing Model

Free Trial

Freemium

One-time license

Open-source

Subscription

Quotation Based

Plans

Data Engineering Light
$0.07 Others

Standard SKU: $0.07/DBU billed per second

Premium SKU: $0.22/DBU billed per second

Features

  • Managed Apache Spark
  • Job scheduling with libraries
  • All Standard Plan features
  • Conditional Authentication
  • Role-based access control for notebooks, clusters, jobs, tables
  • Audit Logs
Data Engineering
$0.15 Others

Standard SKU: $0.15/DBU billed per second

Premium SKU: $0.30/DBU billed per second

Features

  • Managed Apache Spark
  • Job scheduling with libraries
  • Job scheduling with Notebooks
  • Autopilot clusters
  • Databricks Runtime for ML
  • Managed MLflow
  • Managed Delta Lake
  • All Standard Plan features
  • Optimized autoscaling of compute
  • Conditional Authentication
  • Role-based access control for notebooks, clusters, jobs, tables
  • Audit Logs
Data Analytics
$0.4 /Month

Standard SKU: $0.40/DBU billed per second

Premium SKU: $0.55/DBU billed per second

Features

  • Managed Apache Spark
  • Job scheduling with libraries
  • Job scheduling with Notebooks
  • Autopilot clusters
  • Databricks Runtime for ML
  • Managed MLflow
  • Managed Delta Lake
  • Interactive clusters
  • Notebooks and collaboration
  • Ecosystem integrations
  • All Standard Plan features
  • Optimized autoscaling of compute
  • Azure AD credential passthrough
  • Conditional Authentication
  • Role-based access control for notebooks, clusters, jobs, tables
  • Audit Logs
Standard
$0.07 Others

$0.07/DBU billed per second Jobs Light Compute

$0.15/DBU billed per second Jobs Compute

$0.40/DBU billed per second All-Purpose Compute

Features

  • Managed Apache Spark
  • Optimized Delta Lake
  • Cluster autopilot
  • Notebooks & collaboration
  • Connectors & Integration
  • ML Runtime
  • Managed MLflow
  • Single Sign-On (SSO)
Premium
$0.1 Others

$0.10/DBU billed per second Jobs Light Compute

$0.20/DBU billed per second Jobs Compute

$0.55/DBU billed per second All-Purpose Compute

Features

  • Standard Features, plus
  • Optimized autoscaling
  • Federated IAM
  • Role-based Access Control
  • Audit Log delivery
  • Customer Managed VPC (preview)
  • Token Management API (preview)
  • Policies (preview)
  • Secure Cluster Connectivity (preview)
Enterprise
$0.13 Others

$0.13/DBU billed per second Jobs Light Compute

$0.25/DBU billed per second Jobs Compute

$0.65/DBU billed per second All-Purpose Compute

Features

  • Premium Features, plus
  • Customer Managed Key (preview)
  • IP Access List (preview)
  • HIPAA Compliance*
  • Intra-node encryption for Spark
Dedicated
Custom

Features

  • Enterprise Features, plus
  • PVC (Private Cloud)
  • Enterprise Customization
View Price Page
AWS Lake Formation
Custom

Features

  • Discover relevant data for analysis
  • Enable self-service access
  • Label your data with business metadata
  • Implement audit logging
  • Define and manage access controls
  • Enforce encryption
  • Optimize partitions
  • Clean and deduplicate data
  • Transform data
  • Catalog and label your data
  • Import data from other AWS services
  • Import data from other external sources
  • Import data from databases already in AWS
View Price Page

SCREENSHOTS

Databricks Screenshots
View 0 screenshot(s)
AWS Lake Formation Screenshots
View 2 screenshot(s)

INTEGRATIONS

  • Microsoft Power BI
  • Tableau
  • Looker
  • Alteryx
    NA

ALTERNATIVES

Top alternatives to Databricks

AWS Cloud9
AWS Cloud9
Spark CMS
Spark CMS
Synapse Medicine
Synapse Medicine
Snowflake
Snowflake
IFTTT
IFTTT

Top alternatives to AWS Lake Formation

Microsoft Azure
Microsoft Azure
Snowflake
Snowflake
Databricks
Databricks
IT Glue
IT Glue
AWS Glue
AWS Glue