Amazon FinSpace FAQs

AWS Analytics give Capital Markets customers a wide set of tools to build solutions to meet their analytics needs. Used together, these services provide customers a wider set of configurations and options than is currently available with the FinSpace Dataset Browser. Customers can use services such as Amazon DataZone, AWS Glue, AWS Lake Formation, Elastic Map Reduce (EMR), Amazon Athena for Apache Spark, and Amazon SageMaker to create their own best fit solutions for discovering, accessing, and transforming their capital markets data sets.

No. Amazon FinSpace with Managed kdb Insights continues to be fully supported. Only the Amazon FinSpace Dataset Browser is reaching end of life.

You may use your existing Amazon FinSpace Dataset Browser Environments until November 29 2024. After November 29 2024, you will not be able to create any new Amazon FinSpace Dataset browser Environments.

Your existing Dataset Browser environments will be automatically deleted on March 26, 2025. After this date, you will no longer be able to access your Amazon FinSpace Dataset Browser environment. This includes access through the Dataset Bowser Website, the AWS Console, or the FinSpace Data API. Also at that time, any resources created in this environment as well as any data stored will also be deleted.

If you are currently using Dataset Browser and need help with migration, contact AWS Support for assistance with migration options. For other question related to Dataset Browser end of life, you can review the FAQ or reach out to AWS Support to assist with your transition.

You will no longer be billed after the environment is automatically deleted on March 26, 2025. Before then, customers with existing environments will be continue to billed. If you are no longer actively using this environment, you may delete it any time before March 26, 2025 in order to immediately stop being billed.

To delete the environment using the AWS Console, go to the Amazon FinSpace landing page by selecting Services → Analytics → Amazon FinSpace. From the Amazon FinSpace landing page, use the left navigation bar to select Dataset Browser → Environments. For each environment, select the link under “Environment Details” to go to the Environment details page. From this page, select the “Delete” button. This will delete the environment.

Yes. Any customer environment will continue to receive security updates until March 26, 2025 or until the point you delete the environment, whichever comes first.

Amazon FinSpace is a fully managed data management and analytics service that makes it easy to store, catalog, and prepare financial industry data at scale, which reduces the time it takes for financial services industry (FSI) customers to find and access all types of financial data for analysis from months to minutes.

Financial services organizations analyze data from internal data stores like portfolio, actuarial, and risk management systems as well as petabytes of data from third-party data feeds, such as historical securities prices from stock exchanges. When performing analysis, it can take months to find the right data, get permissions to access the data in a compliant way, and prepare it for analysis. 

FinSpace simplifies the process of discovering data, gaining permissions to access data, and transforming data to be ready for analysis—thus saving months of prep work done by financial services customers today.

Financial services organizations rely on hundreds of datasets sourced internally or externally to build investment models, manage risk, and improve customer experience. Today, it is taking analysts longer and longer to test new research ideas because data volumes are increasing, customers want to use more diverse datasets, and compute resources cannot keep up with the latest algorithms and data volumes. FinSpace helps data analysts be more productive and agile by reducing the time they spend searching for data, obtaining access to the data, and acquiring the compute resources needed to match their data volumes.

To start using Amazon FinSpace, sign in to the AWS Management Console, navigate to “Amazon FinSpace” in the Analytics category, and then create a FinSpace environment. We have made available a sample dataset, typically used in capital markets, so that it’s easy to evaluate FinSpace’s features and capabilities. Users of the FinSpace web application can drag and drop files from their desktop to load into FinSpace. Developers can use FinSpace’s SDK to ingest data directly from S3.

Please refer to the AWS Region Table for details on Amazon FinSpace service availability by region.

Using FinSpace APIs, you can build integrations with an existing enterprise data lake and ingest data from S3.

You can use Amazon FinSpace’s API to ingest data programmatically into FinSpace. Learn more about Amazon FinSpace’s API in the API reference documentation. You can also drag and drop files directly into the FinSpace web application.

You can collect streaming data into change sets, which you then load into FinSpace using the FinSpace API so that you can perform historical analysis on the data.

Amazon FinSpace ensures that all data managed within the application is encrypted in transit and at rest. Requests to the FinSpace API and web application are made over a secure (SSL) connection using TLS 1.2. You can integrate with your organization’s identity provider (IdP) using SAML. FinSpace will use an AWS Key Management Service (KMS) customer-managed customer master key (CMK) to encrypt all data stored in Amazon FinSpace. Amazon FinSpace is a single tenant service providing data and network isolation.

FinSpace automatically tracks application activity such as user logins, dataset and metadata operations, data access, and compute resources so that, at any point in time, you can determine who is accessing which data and how. You can generate and export activity reports using FinSpace Audit Report functionality. 

In FinSpace, you can define user groups and then assign those groups to datasets, along with the fine grained access control.

You create a FinSpace environment and load data inside it. You create users for that FinSpace environment. You assign permissions to users to access data by putting them into User groups. Permissions to perform any action in FinSpace are assigned to user groups, not directly to the user. User groups can be assigned to Datasets with fine-grained permissions.

You can access data in Amazon FinSpace using the web application, which includes a notebook, or you can use FinSpace APIs to access data through secured S3 access based on your access controls specified in FinSpace.

With Amazon FinSpace, you pay for users who have access to the application, the storage you use monthly, and the clusters used to prepare and analyze your data. See the Amazon FinSpace pricing page for details.

You pay only for the GB of data you load into FinSpace prorated according to the hours that the data is stored. 

You pay a monthly fee for each user enabled in FinSpace. The monthly charge is prorated according to the hours that the user is enabled.