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What is Dremio?

Dremio offers rapid query capabilities along with a self-service semantic layer that interacts directly with your data lake storage, eliminating the need to transfer data into exclusive data warehouses, and avoiding the use of cubes, aggregation tables, or extracts. This empowers data architects with both flexibility and control while providing data consumers with a self-service experience. By leveraging technologies such as Apache Arrow, Data Reflections, Columnar Cloud Cache (C3), and Predictive Pipelining, Dremio simplifies the process of querying data stored in your lake. An abstraction layer facilitates the application of security and business context by IT, enabling analysts and data scientists to access and explore data freely, thus allowing for the creation of new virtual datasets. Additionally, Dremio's semantic layer acts as an integrated, searchable catalog that indexes all metadata, making it easier for business users to interpret their data effectively. This semantic layer comprises virtual datasets and spaces that are both indexed and searchable, ensuring a seamless experience for users looking to derive insights from their data. Overall, Dremio not only streamlines data access but also enhances collaboration among various stakeholders within an organization.

What is Amazon Security Lake?

Amazon Security Lake seamlessly collects security data from AWS environments, various SaaS platforms, and both on-premises and cloud-based sources, consolidating it into a dedicated data lake within your account. With the implementation of Security Lake, businesses can gain a more comprehensive understanding of their security information across all domains. This solution significantly boosts the protection of your applications, workloads, and sensitive data. By adopting the Open Cybersecurity Schema Framework (OCSF), a standard open framework, Security Lake facilitates the normalization and integration of security data sourced from AWS along with diverse enterprise security resources. Furthermore, you can utilize your preferred analytics tools to investigate your security information while retaining complete control and ownership over that data. It enhances the centralized visibility of information from both cloud and on-premises sources across your accounts and AWS Regions. Moreover, by standardizing your security data under an open framework, you can streamline your data management processes at scale, promoting more efficient operational practices. This all-encompassing strategy not only improves your organization's security posture but also optimizes risk management efforts, ultimately fostering a safer digital environment. Consequently, embracing such a solution allows organizations to stay ahead of potential threats while ensuring regulatory compliance.

Media

Media

Integrations Supported

AWS Glue
Amazon EventBridge
Amazon S3
Amazon Simple Notification Service (SNS)
Amazon Simple Queue Service (SQS)
Amazon Web Services (AWS)
Azure Marketplace
Cyral
DashboardFox
Emgage
HPE Ezmeral
Okera
Preset
Protegrity
PuppyGraph
SQL
Tableau
Tenzir
Yurbi
witboost

Integrations Supported

AWS Glue
Amazon EventBridge
Amazon S3
Amazon Simple Notification Service (SNS)
Amazon Simple Queue Service (SQS)
Amazon Web Services (AWS)
Azure Marketplace
Cyral
DashboardFox
Emgage
HPE Ezmeral
Okera
Preset
Protegrity
PuppyGraph
SQL
Tableau
Tenzir
Yurbi
witboost

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.75 per GB per month
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

Dremio

Date Founded

2015

Company Location

United States

Company Website

www.dremio.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/security-lake/

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

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Categories and Features

Cloud Security

Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management

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