Amazon FinSpace FAQs

After careful consideration, we have made the decision to discontinue Amazon FinSpace, effective October 7, 2026. Amazon FinSpace will no longer accept new customers beginning October 7, 2025. As an existing customer with an Amazon FinSpace environment created before October 7, 2025, you can continue to use the service as normal, including creating new resources and onboarding new accounts. Additionally, AWS will continue to provide critical security and availability updates to Amazon FinSpace during this period. Starting from October 7, 2026, you will no longer be able to access the Amazon FinSpace Dataset Browser or Amazon FinSpace Managed kdb Insights features.

These FAQs provide instructions and best practices to transition your usage of Amazon FinSpace Dataset Browser and Amazon FinSpace Managed kdb Insights to other options on AWS.

Existing Dataset Browser customers can now use Amazon DataZone for their business data catalog needs, Amazon Athena for Apache Spark for their data processing, and Amazon SageMaker Studio for their notebooks. If you are currently using Dataset Browser and need help with migration, contact AWS Support for assistance with migration options.

To migrate your kdb Insights application to self-managed on AWS, you need to first extract the database contents and the application code to an S3 location on AWS. Then you will need to setup kdb on AWS, using your choice of compute and storage options. Finally, you will import the contents of your kdb database files. 

1/ Export Database Contents

To extract your data from Amazon FinSpace, you can leverage python, along with kdb’s pyKX feature, to connect to your Amazon FinSpace HDBs and then extract database table contents, store in CSV format, and then import into your new self-managed kdb Insights environment.

Please see this re:Post article for details:  Extract and Save Data from FinSpace with Managed kdb Insights.

2/ Setup new kdb application on AWS

AWS continues to provide a broadest set of infrastructure resources to build and operate your kdb applications. There are many different architectures and services you can leverage to meet your cost, performance, and integration needs. In addition, we have a broad number of technical people with kdb experience who can help you. For assistance with making these architecture decisions, please reach out to your AWS technical account team and they can work with you. 

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.