- [Jeff] Hi everyone, my name is Jeff Bartley
and I am a Principal Product Manager
on the AWS DataSync team and I'm excited to talk
to you today more about Datasync
and how it can help you move your data
to and from AWS and other cloud providers.
AWS solutions for hybrid and multicloud span multiple areas
including management and governance, observability,
data and analytics, compute, and containers.
In this video, we're gonna focus on data and analytics.
AWS data and analytics services enable you
to gain insights from all of your data
whether it's stored on AWS, on premises,
in SaaS applications, or in other cloud databases
and analytics services.
A first step to gaining insights from your data
is making sure your data is available and accessible.
AWS DataSync provides capabilities to move data
between AWS storage, on-premises file systems,
and other cloud storage services,
helping you get your data where it needs to be.
AWS DataSync is a secure, managed service
that automates and accelerates the movement of data online
between storage systems
without the need to write and run scripts
to manage your data transfers.
With DataSync, you can access data
from a variety of supported storage locations
spanning on-premises, edge,
and other cloud storage services,
and then move it to and from AWS
to support your business workflows and data processing.
AWS DataSync enables you
to easily manage data movement workloads
with bandwidth throttling, migration scheduling,
and task filtering.
You can also rapidly migrate file and object data
to the cloud for data replication or archival.
And DataSync helps you simplify your migration planning
and reduce costs typically associated with data movement.
Here's a bit more detail on AWS DataSync
and the value we deliver to customers.
Performance is critical to any migration tool,
and DataSync has been built for speed.
It utilizes compression, parallel transfers,
and other optimizations to transfer your data
as fast as possible.
With built-in scheduling, filtering, and logging,
DataSync is easy to use,
helping you get up and running quickly
so you can focus on the task
of getting your data to the cloud.
Security is our top priority
here at AWS, and we built DataSync
to transfer your data securely and reliably.
DataSync encrypts data in flight
and supports encryption at rest.
In addition, DataSync provides a number of options
for data integrity verification,
ensuring all of your data is transferred successfully.
As a fully managed service, DataSync takes care
of securely connecting to AWS storage services
and integrates with common AWS management tools
such as CloudWatch, CloudTrail, and EventBridge.
Finally, DataSync was designed to be cost-effective
at 1.25 cents per gigabyte of data transferred.
With DataSync, you pay only for the data you transfer,
and there are no minimums.
DataSync makes it simple to move large amounts
of data quickly and securely
between on-premises data centers,
edge locations or outpost environments, and AWS.
You can also use DataSync to transfer data
between your AWS storage.
DataSync can copy data to and from your Amazon S3 buckets,
Amazon EFS file systems,
and all Amazon FSx file system types.
Additionally, DataSync can be used to move data
to and from storage in other clouds
including Google Cloud Storage, Azure Files,
and Azure Blob storage,
which we're going to talk about more in this video.
DataSync supports using the internet,
VPN, or direct connect to transfer data
between your on-premises or cloud environments and AWS.
Regardless of which method you use,
all data is encrypted in-flight using TLS.
With support for Azure Blob storage,
you can now use DataSync to easily move data
the same way you would with other supported locations.
DataSync can read from all Azure Blob types
and also supports Azure Blob containers
configured for Data Lake Storage Generation Two.
Using DataSync, you can move your data quickly and securely
from Azure Blob to Amazon S3, Amazon EFS,
or Amazon FSx file systems.
When moving data from Azure Blob to Amazon S3,
DataSync preserves object tags and metadata.
A common challenge for customers working
in multi-cloud environments
is moving data from other clouds
into AWS, particularly at scale.
Customers looking to populate their data lakes in Amazon S3
can now pull data directly from Azure Blob using DataSync.
DataSync can access data in Azure Blob
or Azure Data Lake Storage
whether that data is stored by the customer,
by third parties, or stored in publicly available data sets.
Using DataSync, you can access data in Azure Blob
and move it to AWS quickly and securely
without the headaches of do-it-yourself solutions
or the costs of expensive commercial tools.
To learn more about DataSync, check out our product page
at aws.amazon.com/datasync.
You'll find detailed information about the service
along with links to blogs, documentation, and more.
You can also go to the AWS console
and get started moving your data today.