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Description

Amazon Security Lake seamlessly consolidates security information from various AWS environments, SaaS platforms, on-premises systems, and cloud sources into a specialized data lake within your account. This service enables you to gain a comprehensive insight into your security data across the entire organization, enhancing the safeguarding of your workloads, applications, and data. By utilizing the Open Cybersecurity Schema Framework (OCSF), which is an open standard, Security Lake effectively normalizes and integrates security data from AWS along with a wide array of enterprise security data sources. You have the flexibility to use your preferred analytics tools to examine your security data while maintaining full control and ownership over it. Furthermore, you can centralize visibility into data from both cloud and on-premises sources across your AWS accounts and Regions. This approach not only streamlines your data management at scale but also ensures consistency in your security data by adhering to an open standard, allowing for more efficient and effective security practices across your organization. Ultimately, this solution empowers organizations to respond to security threats more swiftly and intelligently.

Description

Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Glue
Abstract Security
Amazon EventBridge
Amazon OpenSearch Service
Amazon S3
Amazon Simple Queue Service (SQS)
Amazon Web Services (AWS)
Apache Superset
Azure Marketplace
Cyral
DataBahn
Hex
Looker
Microsoft Power BI
Okera
Protegrity
PuppyGraph
Tableau
data.world
witboost

Integrations

AWS Glue
Abstract Security
Amazon EventBridge
Amazon OpenSearch Service
Amazon S3
Amazon Simple Queue Service (SQS)
Amazon Web Services (AWS)
Apache Superset
Azure Marketplace
Cyral
DataBahn
Hex
Looker
Microsoft Power BI
Okera
Protegrity
PuppyGraph
Tableau
data.world
witboost

Pricing Details

$0.75 per GB per month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/security-lake/

Vendor Details

Company Name

Dremio

Founded

2015

Country

United States

Website

www.dremio.com

Product Features

Cloud Security

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

Product 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

Alternatives

Alternatives

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Platform 3 Solutions