Question 1

What is Datagaps?

Accepted Answer

Datagaps Great Data Platform helps build trust in enterprise data and analytics by automating the data quality testing and report validation.

Question 2

Where is Datagaps DataOps Suite used?

Accepted Answer

DataOps Suite is a modern, web browser-based application for automating the ETL testing, Data Quality testing, and Data Lake testing. Whether you are migrating to the cloud or building new data ingestion pipeline, DataOps Suite helps validate 100% of your data thus building trust in your enterprise data and reports. With fast and easy to set up, create, and run DataOps dataflow in minutes

Question 3

Where is DataOps Suite installed?

Accepted Answer

Datagaps provides the flexibility of deploying DataOps Suite within your infrastructure either on any cloud like AWS, Azure, GCP, etc., or on-premises. The deployment options depend on the user’s preference like performance expectations, security requirements, etc.,

Question 4

What are the security measures taken by the DataOps Suite?

Accepted Answer

DataOps Suite's security strategy includes encryption at rest to protect customer content. Data in transit is encrypted with SSL or TLS 1.2/1.3, and sensitive data at rest is encrypted with AES-256 encryption. DataOps Suite also supports external identity provider integrations like Azure SSO and Okta for authentication and authorization.

Question 5

Who are Datagaps' customers?

Accepted Answer

Datagaps serves Fortune 500 companies across various industries including Finance, Healthcare, Retail, Manufacturing, Insurance, and Travel. These organizations trust Datagaps for both production and non-production environments to ensure the highest levels of data quality, consistency, and reliability.

Question 6

How do I schedule a demo for Datagaps?

Accepted Answer

You can schedule a demo by registering on the Datagaps website at https://www.datagaps.com/request-a-demo/.

Question 7

Is Datagaps available on any Marketplace?

Accepted Answer

Yes, Datagaps offers its products on multiple marketplaces. The DataOps Suite is available on both the AWS Marketplace and the Microsoft Azure Marketplace. On AWS, it automates ETL testing, data quality testing, and data lake testing. On Azure, it combines ETL, data integration, and data management testing capabilities, facilitating CI/CD automation and test data provisioning.

Question 8

Does DataOps Suite have any ISO certifications?

Accepted Answer

DataOps Suite is committed to providing the highest level of security and compliance. It is compliant with GDPR, CCPA, SOC 2 Type II, HIPAA, and PCI DSS.

Question 9

Does the tool support Source-to-Target Data Objects Reconciliation?

Accepted Answer

Yes, Datagaps' DataOps Dataflow Metadata Compare component simplifies the comparison of Source-to-Target data object reconciliation. Stored procedures and function comparisons can be achieved using the Data Compare component.

Question 10

Can the tool reconcile table fields, field types, and relationships for field-by-field reconciliation?

Accepted Answer

Yes, the Metadata Compare component automatically compares table fields, field types, and relationships using a wizard-driven interface.

Question 11

Does the tool support data validation for Source and Target datasets including total records, data differences, null/blank values, and errors?

Accepted Answer

Yes, Datagaps uses an Apache Spark-based architecture to validate billions of records. It highlights record-wise and column-wise differences for easy reporting.

Question 12

Can the tool validate data quality such as structure, pattern, data type, format, values, and null/not null for Source and Target datasets?

Accepted Answer

Yes, the Data Profile Compare component automates data quality checks, comparing data attributes such as sums, min/max values, length, distinct values, null percentages, and formats.

Question 13

Does the tool detect anomalies and develop patterns?

Accepted Answer

Yes, Datagaps uses Machine Learning and statistical methods to identify anomalies in data and data profiles.

Question 14

Can the tool test ETL jobs and processes during data migration?

Accepted Answer

Yes, Datagaps provides wizards for generating tests to validate metadata, data, and reports during migrations.

Question 15

Does the tool provide end-to-end testing of data pipelines?

Accepted Answer

Yes, the DataOps Suite automates end-to-end data testing from ingestion to analytics across multiple systems in the pipeline.

Question 16

Can the tool test various data file types such as CSV, Flat Files, and Excel?

Accepted Answer

Yes, Datagaps uses Apache Spark, which natively supports multiple file types such as CSV, Flat Files, and Excel.

Question 17

Does the tool support test case creation and parameterization?

Accepted Answer

Yes, it supports parameterization at local and global levels, with the ability to dynamically set parameter values during execution.

Question 18

Can the tool define test data rules and configurations?

Accepted Answer

Yes, users can define Data Quality Rules and configurations for both static and dynamic data, with an option to push rules to the database.

Question 19

Does the tool support functional, regression, stress, and performance testing of BI reports?

Accepted Answer

Yes, Datagaps automates the testing of Power BI reports for functional, regression, stress, and performance testing aspects.

Question 20

Does the tool support BI Report features like field filtering, graphs, visuals, and drill-down options?

Accepted Answer

Yes, the tool generates multiple filter combinations and performs visual comparisons, highlighting differences in regression tests.

Question 21

Does the tool connect to and validate data from different platforms?

Accepted Answer

Yes, Datagaps supports over 38 platforms natively, including Databricks, SAP S/4 HANA, Power BI, Oracle DB, Azure Synapse, and more.

Question 22

Does the tool support Data Warehouse testing?

Accepted Answer

Yes, Datagaps supports ETL, Data Quality, and Power BI testing for Data Warehouses.

Question 23

Does the tool architecture support on-demand scalability?

Accepted Answer

Yes, it supports auto-scaling on platforms like Azure Kubernetes Service (AKS) and Databricks to validate billions of records.

Question 24

Can the DataOps Suite handle large-scale data environments?

Accepted Answer

Yes, Datagaps is designed for enterprise-scale deployments. Its auto-scaling capabilities ensure smooth performance for large datasets and growing user bases.

Question 25

How does the platform handle scalability during peak usage?

Accepted Answer

The platform supports dynamic scaling on Azure Kubernetes Service (AKS) and can integrate with Databricks for high-performance data validation at scale.

Question 26

How quickly can the tool validate large datasets?

Accepted Answer

Using Apache Spark, the suite can validate billions of records efficiently, providing results in a fraction of the time required by manual or semi-automated methods.

Question 27

What performance optimizations are included in the platform?

Accepted Answer

Optimizations include parallel processing, auto-scaling, and intelligent caching to handle complex data validation tasks seamlessly.

Question 28

Does the tool integrate with DevOps CI/CD pipelines such as Azure DevOps and Jenkins?

Accepted Answer

Yes, it integrates with systems like Azure DevOps, Jenkins, Harness, and GitHub Actions.

Question 29

Does the tool support integration with enterprise tools like GitHub, JIRA, and qTest?

Accepted Answer

Yes, it integrates with Git repositories, JIRA, and test management tools like Azure Test Plans and qTest.

Question 30

Can the tool support data testing pipelines in conjunction with modern DevOps practices?

Accepted Answer

Yes, the DataOps Suite provides REST APIs to integrate with data pipelines like Databricks and Azure Data Factory.

Question 31

Does the tool support modern IT security practices like Active Directory and OAuth 2.0?

Accepted Answer

Yes, it integrates with Azure AD for Single Sign-On (SSO) and uses OAuth 2.0 for securing APIs.

Question 32

Does the tool support modern password and key management systems such as Azure Key Vault and CyberArk?

Accepted Answer

Yes, it supports these systems for secure password management.

Question 33

Is the tool compliant with modern encryption standards?

Accepted Answer

Yes, all sample data, passwords, and keys are encrypted both at rest and in transit.

Question 34

Does the tool provide role-based access control?

Accepted Answer

Yes, it supports custom roles, user groups, and container-based security for isolating test cases.

Question 35

Can the tool mask sensitive data?

Accepted Answer

Yes, it includes libraries for data masking.

Question 36

Does the DataOps Suite comply with data privacy regulations like GDPR or HIPAA?

Accepted Answer

Yes, Datagaps ensures compliance with data privacy regulations through robust encryption, role-based access controls, and secure data masking capabilities.

Question 37

Are audit logs available for compliance purposes?

Accepted Answer

Yes, the suite provides detailed audit logs to track all user activities and ensure transparency for compliance audits.

Question 38

Can the DataOps Suite be deployed in an Azure Cloud environment?

Accepted Answer

Yes, the server can be deployed on Azure VMs or Kubernetes, with repositories on Azure PostgreSQL.

Question 39

Does Datagaps provide support throughout the project lifecycle?

Accepted Answer

Yes, Datagaps offers onboarding, installation assistance, training, and post-go-live technical support.

Question 40

Does the tool provide built-in reporting capabilities?

Accepted Answer

Yes, Datagaps offers standard and customizable reporting dashboards.

Question 41

What licensing models are available for Datagaps?

Accepted Answer

Datagaps supports a subscription-based licensing model.

Question 42

Can the DataOps Suite be implemented independently by the customer?

Accepted Answer

Yes, most customers implement the tool with minimal support from Datagaps.

Question 43

What is the pricing model for the Datagaps DataOps Suite?

Accepted Answer

The DataOps Suite is priced on a Named User Basis or Concurrent User Basis, available through an Annual Subscription model. Pricing varies based on the number of users and the chosen configuration.

Question 44

What products are included in the DataOps Suite and are they priced separately?

Accepted Answer

The suite includes three primary products, each priced separately: ETL Validator for validating and testing ETL pipelines, BI Validator for automated testing of business intelligence reports, and DQ Monitor for monitoring and maintaining data quality across systems.

Question 45

Are there any bundled pricing options available?

Accepted Answer

Datagaps offers customized bundled pricing when combining multiple products (ETL Validator, BI Validator, DQ Monitor). For more details, contact the sales team at contact@datagaps.com.

Question 46

Does Datagaps offer trial periods or demos?

Accepted Answer

Yes, Datagaps offers trial periods and tailored demos for prospective customers to explore the capabilities of the DataOps Suite.

Question 47

What are the deployment options for the DataOps Suite?

Accepted Answer

The DataOps Suite can be deployed in both on-premise and cloud environments. It is fully compatible with Azure Kubernetes Service (AKS) and Azure Virtual Machines.

Question 48

What are the technical requirements for deploying the DataOps Suite?

Accepted Answer

Deployment requires infrastructure for the server, repository, and engine. For Azure-based environments, Datagaps supports deployment in Azure Postgres and AKS.

Question 49

Does Datagaps support hybrid cloud environments?

Accepted Answer

Yes, the DataOps Suite supports hybrid cloud environments, allowing organizations to leverage both on-premise and cloud setups for data validation.

Question 50

What kind of training does Datagaps provide?

Accepted Answer

Datagaps offers comprehensive training including hands-on sessions, user documentation, and videos to help teams effectively use the platform.

Question 51

What support options are available post-deployment?

Accepted Answer

Customers receive technical support, regular updates, and access to a dedicated support portal for troubleshooting and enhancements.

Question 52

Is there an onboarding process for new customers?

Accepted Answer

Yes, Datagaps provides an onboarding program that includes requirements gathering, installation assistance, and initial setup support.

Question 53

Do you offer a free Datagaps DataOps Suite trial?

Accepted Answer

Yes, Datagaps offers a free 14-day trial with full access to the complete DataOps Suite along with dedicated support. A demo is first scheduled to walk you through its features and address any questions, ensuring Datagaps can fully meet your requirements.

Question 54

Do you provide training during the trial period?

Accepted Answer

Yes, during the trial or POC, Datagaps provides a complimentary 2-hour training session. Weekly check-in calls are also scheduled to answer questions and guide you through any challenges, plus full access to the support portal for additional resources.

Question 55

If I have questions or issues during my trial, what is the best way to get help?

Accepted Answer

You can raise a ticket on the Datagaps Support Portal or contact Sales. A Customer Success Manager will also be assigned to you as part of the trial to coordinate and assist with everything.

Question 56

Do you offer any services to get started quickly?

Accepted Answer

Yes, Datagaps offers a complimentary 2-hour training session as part of the trial or POC, dedicated support through weekly standing calls, smooth integration assistance with existing systems, and expert guidance on test creation and configuration for a rapid onboarding process.

Question 57

What is the Data Migration Testing Service?

Accepted Answer

The Data Migration Testing Service ensures that data is accurately and securely transferred from one system to another, validating data integrity, security, and consistency during migration processes. This service is a future offering — stay tuned for updates.

Question 58

What are Datagaps Expert Services?

Accepted Answer

Datagaps Expert Services help businesses innovate, reduce costs, and streamline processes through automated data testing. The team provides guidance across product configuration, test case creation, CI/CD integration, and managing product instances, all tailored to meet unique data testing requirements.

Question 59

Do you offer training for my team during the project?

Accepted Answer

Yes, Datagaps offers training and assistance to team members in test creation, ensuring they are well-equipped to handle test cases and testing scenarios. This is provided as part of service packages under both the Dedicated and On-Demand models.

Question 60

How does Datagaps integrate with existing systems?

Accepted Answer

Datagaps products can be configured to integrate seamlessly with other systems within your ecosystem. Expert consultants work with you to ensure smooth integration that supports your data testing and validation efforts.

Question 61

What is included in the test creation process with Datagaps Expert Services?

Accepted Answer

Expert Services include helping establish a solid base of test cases and test plans for various scenarios, and training your team to create effective tests tailored to your specific needs, ensuring thorough coverage and accuracy.

Question 62

How can Datagaps help with CI/CD integration?

Accepted Answer

Datagaps products can be integrated with your CI/CD process, allowing you to automate data testing as part of your continuous integration and delivery pipeline — streamlining deployment of high-quality, tested data products with faster time-to-market.

Question 63

How can Datagaps help reduce time to market?

Accepted Answer

Datagaps solutions significantly shorten testing time, enabling faster validation and quicker delivery of data products — helping your business stay competitive and responsive in dynamic environments.

Question 64

How do I request a demo of Datagaps' products?

Accepted Answer

You can request a demo by visiting the Datagaps website at https://www.datagaps.com/request-a-demo/ or by contacting the sales team. A personalized demo will be scheduled to showcase how Datagaps can help your team improve data testing and deliver better products faster.