As a hosted solution, Extrica can be deployed into your environment through a straightforward one-click deployment process.

Yes, Extrica can be connected to any JDBC compliant BI, AI & ML tools like Quicksight, R, SageMaker, Python, Tableau, Power BI

Yes, Extrica does offer a handy feature for data persistence – Data Mirroring. When this feature is enabled, the data from the required data product is duplicated and stored in an S3 bucket. The frequency of this duplication depends on the mirror frequency setting. You can then access and query this data directly from the S3 bucket

Extrica comes with a consumption analytics module. This feature provides a detailed dashboard that gives you a complete overview of how your Data Products are being used. It shows you trends in consumption, usage patterns, who your top users are, which channels are most popular, and even the history of queries.

Extrica offers a fine-grained data security policy that is tuned to both rows and columns of the data. This is managed through role-based access to ensure data security. Extrica also offers Attribute based access control.

Yes, Extrica offers cross-account access to data sources like S3 and others

Extrica uses a multi-region deployment strategy for data recovery. This means that the same application stack is set up in two different regions. If a failure is detected in one region, Amazon Route 53 (R53) is configured to handle the failover to the other region. For database replication and failover, additional configurations are needed. These can be modified in Extrica’s CloudFormation Template (CFT) script, but only upon the client’s request. This ensures data availability even in the event of a regional failure.

Yes, Extrica’s self-service analytics feature empowers users to access and analyze data on their own, without the need for assistance from IT or business intelligence specialists. It’s a user-friendly approach that promotes independence and efficiency.

Extrica features a comprehensive Data Quality module. This module evaluates a Data Product based on more than 15 different Data Quality checks. These checks fall under six major dimensions of data quality: Accuracy, Completeness, Consistency, Timeliness, Validity, and Uniqueness. This ensures high-quality data availability.

Yes, Extrica features a Metadata Auto-Classification module. This module allows for the automatic classification of PII (Personally Identifiable Information) and other sensitive information within each Data Product.

Yes, Extrica does offer Data Product Versioning. This feature allows you to view and compare the metadata of each Data Product across different versions, all in a single tab, helping you track the changes and maintain the data consistency.

Yes, Extrica offers a comprehensive AI-powered Data Catalog that comes with contextual search capabilities. This makes finding and organizing your data a breeze!

Extrica currently offers two features that leverage Generative AI:     
a. Text to SQL: This feature enables and simplifies data exploration and retrieval by generating SQL queries from natural language, eliminating the need for extensive SQL knowledge.     
b. Co-Pilot: This feature leverages the power of Generative AI to respond to inquiries about the Data Product, carry out data analysis, and produce data visualizations.

Yes, Trianz provides a comprehensive suite of professional services for Extrica, which include   
1. Deployment: Trianz assists in deploying Extrica from the AWS Marketplace into the customer’s environment.   
2. Platform Setup: Trianz helps in setting up the Extrica Platform, which includes configuring users, domains, and data sources.   
3. Sample Creation: Trianz creates sample Data Products and Dashboards to demonstrate the capabilities of Extrica.   
4. Support Services: Trianz provides ongoing support services to ensure smooth operation of Extrica.