REGRESSwise
REGRESSwise is an enterprise-grade regression testing platform built natively for Google BigQuery. Developed by iQspeaks Limited, it enables data engineering and QA teams to automate validation of high-scale data pipelines with fast and reliable before-and-after comparison testing.
The platform supports schema validation, row-level comparison, and aggregate-level validation to identify data inconsistencies, schema drift, and transformation issues before production deployment. REGRESSwise integrates directly into existing CI/CD workflows and complements dbt testing by validating output data rather than transformation logic.
Built for enterprise environments, REGRESSwise processes millions of data points efficiently while ensuring data integrity, auditability, and low BigQuery compute costs. The platform is ideal for organizations using GCP and BigQuery for analytics and large-scale data transformation workloads.
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AnswerDock
AnswerDock is an AI-driven analytics platform for the enterprise. It provides answers to business users' questions and allows them to make better and faster decisions, without the need for data analysts. Get instant insights from your data warehouse via live query (available for Snowflake, Amazon Redshift, Microsoft Synapse, Google Bigquery). You can also upload excel files or connect to traditional relational databases (Mysql, SQL Server, etc.) and 3rd-party APIs such as Google Analytics. Try AnswerDock on a sample retail dataset. No need for registration or login. Try AnswerDock on your own data by signing up to the free version (all features). Using AnswerDock, business users create their own reports and dashboards by typing their questions, just like using a web search engine. Need a sales report? type Top 10 Sales People by growth in number of leads this quarter. AnswerDock runs the analysis and displays the optimal visualization instantly, its that simple.
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AWS Data Exchange
AWS Data Exchange is a service that simplifies the process of finding, subscribing to, and using third-party data in the cloud. It offers a vast catalog of over 3,500 data sets from more than 300 data providers, including data files, tables, and APIs. The platform enables users to streamline data procurement and governance by consolidating all third-party data subscriptions in one place, with the ability to migrate existing subscriptions at no additional cost. AWS Data Exchange ensures secure and compliant data usage, integrating with AWS Identity and Access Management (IAM) and providing data encryption at rest and in transit. Users can seamlessly integrate subscribed data into their AWS environment, facilitating analytics and machine learning applications. The service supports various data delivery methods, including direct access to data stored in Amazon S3 buckets of data providers, allowing subscribers to use these files with AWS services like Amazon Athena and Amazon EMR.
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Tempo BigQuery Connector for Jira
BigQuery Connector for Jira is a no-code integration that loads Jira data into Google BigQuery for large-scale analysis and reporting. Export any Jira data – standard fields, custom fields, history, and agile metrics – plus data from across the Tempo suite (Timesheets, Capacity Planner, Financial Manager) and other Marketplace apps. Calculated fields like Time in Status and Time at Assignee come built in. Filter with basic options or JQL, schedule automatic refreshes, and keep your BigQuery datasets consistently up to date – no coding required. Granular permissions and sharing settings keep data access aligned to user roles. Built for enterprise, government, and education teams running analytics on a cloud data warehouse.
BigQuery Connector for Jira is part of Tempo's Strategic Portfolio Management (SPM) suite, alongside Tempo Structure PPM, Timesheets, Capacity Planner, and Financial Manager.
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