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What is Data Lakes on AWS?

A multitude of Amazon Web Services (AWS) users are in search of a data storage and analytics option that outperforms traditional data management systems in terms of flexibility and agility. The emergence of data lakes has proven to be a groundbreaking and increasingly popular approach for data storage and analysis, allowing businesses to manage a wide array of data types from multiple sources within a single repository that supports both structured and unstructured data. AWS Cloud offers vital elements that empower customers to develop a secure, versatile, and cost-effective data lake. These elements include AWS managed services that facilitate the ingestion, storage, discovery, processing, and analysis of diverse data formats. To support clients in building their data lakes, AWS presents a thorough data lake solution that acts as an automated reference implementation, laying out a highly available and economical data lake architecture on the AWS Cloud, complemented by a user-friendly console for searching and accessing datasets. Additionally, this solution not only improves the accessibility of data but also simplifies the entire data management process, ultimately leading to enhanced operational efficiency for organizations. As a result, companies can leverage these advantages to make more informed decisions based on their data insights.

What is Azure Data Lake Storage?

Eliminate data silos by adopting a cohesive storage solution that improves cost efficiency through tiered storage options and strategic policy management. Safeguard data integrity with Azure Active Directory (Azure AD) authentication and role-based access control (RBAC), while enhancing data security with essential measures such as encryption at rest and advanced threat protection. This solution emphasizes strong security features, offering flexible protection strategies for data access, encryption, and network governance. It operates as a holistic platform for data ingestion, processing, and visualization, seamlessly integrating with popular analytics tools. Cost savings are realized by scaling storage and computing resources independently, utilizing lifecycle policy management, and applying object-level tiering. With Azure's vast global infrastructure, you can easily accommodate varying capacity requirements and manage data with ease. Moreover, the system supports the execution of extensive analytics queries with reliable high performance, ensuring that your data operations are both efficient and impactful. Ultimately, this approach empowers organizations to harness their data potential fully while maintaining stringent security and performance standards.

Media

Media

Integrations Supported

Autymate
Azure Data Lake
Azure Data Share
Azure Databricks
Azure HDInsight
Azure Marketplace
Azure Synapse Analytics
Composable DataOps Platform
Data Sentinel
IBM StreamSets
Microsoft Azure
Microsoft Entra ID
Pantomath
Peaka
Progress DataDirect
Salesforce Data Cloud

Integrations Supported

Autymate
Azure Data Lake
Azure Data Share
Azure Databricks
Azure HDInsight
Azure Marketplace
Azure Synapse Analytics
Composable DataOps Platform
Data Sentinel
IBM StreamSets
Microsoft Azure
Microsoft Entra ID
Pantomath
Peaka
Progress DataDirect
Salesforce Data Cloud

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/solutions/implementations/data-lake-solution/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/storage/data-lake-storage/

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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