Openbridge vs. Tarsal Comparison Chart

BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven.

(Bank CFO) “I don’t have confidence and trust in our data. We keep discovering hidden risks”. Since 70% of data initiatives fail due to unreliable data (Gartner research), are you risking your reputation by trusting the accuracy of your data that you share with your business stakeholders and partners? Data Trust Scores must be measured in Data Lakes, warehouses, and throughout the pipeline, to ensure the data is trustworthy and fit for use. It typically takes 4-6 weeks of manual effort just to set a file or table for validation. Then, the rules have to be constantly updated as the data evolves. The only scalable option is to automate data validation rules discovery and rules maintenance. DataBuck is an autonomous, self-learning, Data Observability, Quality, Trustability and Data Matching tool. It reduces effort by 90% and errors by 70%. "What took my team of 10 Engineers 2 years to do, DataBuck could complete it in less than 8 hours." (VP, Enterprise Data Office, a US bank)

Domo puts data to work for everyone so they can multiply their impact on the business. Our cloud-native data experience platform goes beyond traditional business intelligence and analytics, making data visible and actionable with user-friendly dashboards and apps. Underpinned by a secure data foundation that connects with existing cloud and legacy systems, Domo helps companies optimize critical business processes at scale and in record time to spark the bold curiosity that powers exponential business results.

Use Semarchy unified data platform to experience xDM. Discover, govern, enrich, enlighten and manage data. You can easily transform data into insights with xDM and rapidly deliver data-rich applications with automated master data management. Its business-centric interfaces provide for rapid creation and adoption of data-rich applications, while automation rapidly generates applications to your specific requirements. Use the agile platform to quickly expand or evolve data applications.

ActiveBatch by Redwood makes setting up and launching automation easy with no custom scripting required. With a low-code Super REST API adapter, over 100 pre-built job steps and a user-friendly drag-and-drop workflow designer, you can integrate across any system, application and data source, on-prem, in the cloud or in hybrid environments. Maintain complete control and visibility and meet SLAs with monitoring of all automation from a single pane of glass and get custom alerts via emails or SMS. Managed Smart Queues dynamically scale resources for high-volume workloads, reducing process times while the self-service portal enables business users to run and monitor workflows independently. ActiveBatch meets security and compliance standards, with ISO 27001 and SOC 2, Type II certifications, encrypted connections and regular third-party tests, always keeping security at the forefront. Along with ongoing product advancements, get the added benefit of 24x7 support and on-site training.

Qrvey is the only solution for embedded analytics with a built-in data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application. Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less. Qrvey’s multi-tenant data lake includes: - Elasticsearch as the analytics engine - A unified data pipeline for ingestion and transformation - A complete semantic layer for simple user and data security integration Qrvey’s embedded visualizations support everything from: - standard dashboards and templates - self-service reporting - user-level personalization - individual dataset creation - data-driven workflow automation Qrvey delivers this as a self-hosted package for cloud environments. This offers the best security as your data never leaves your environment while offering a better analytics experience to users. Less time and money on analytics

Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, DriveTime, American Family Insurance, and other enterprises rely on Windocks for on-demand database environments for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on-premises or cloud, and for data delivery of SQL Server, Oracle, PostgreSQL, and MySQL to Docker containers or conventional database instances. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments.

PIMworks is a Product Information Management (PIM) software that helps retailers and brands centrally manage product data. Along with product data management, online retailers and brands can manage digital assets, easily syndicate accurate product data to multiple channels and maintain their vendor profile details seamlessly. PIMworks offers a lot of integrations including Bigcommerce, Magento, and Shopify, Amazon to name a few. PIMworks' ML-based product catalog enrichment features help in improving the accuracy of product content. All the teams involved in the creation of product catalogs can collaborate effectively by creating workflows in PIMworks. The overall product data performance can be monitored and analyzed with insights available on the dashboards. Right from product catalog creation to getting all the relevant product information from top channels and marketplaces, PIMworks helps all the brands and retailers to stay ahead in their market and gain better profits

Pipeliner has revolutionized CRM with our unique visual interface, no-code workflow automation engine, and instant, dynamic insights and reporting. There is no other CRM that provides both salespeople and sales management with so many ways of displaying and analyzing sales data while also delivering intelligent, system-generated insights. Plus, thanks to our automation engine and ease of integration with other systems (such as email, ERP, Marketing), Pipeliner eliminates many of the manual and routine tasks that other systems force on both salespeople and sales managers. The Pipeliner CRM experience is so different from traditional CRM which is why we drive the highest adoption rates, lower Total Cost of Ownership, and rapid Return On Investment. Plus with fast onboarding and how easy it is to learn to use and/or administer the system, there is little to no business interruption when deploying.

Continuous performance testing software to automate API and application load testing. Design code-less performance tests for complex applications. Script performance tests <as:code /> within automated pipelines for API testing. Design, maintain and run performance tests as code and analyze results within continuous integration pipelines using pre-packaged plugins for CI/CD tools and the NeoLoad API. Create test scripts quickly for large, complex applications using a graphical user interface and skip the complexity of hand coding new and updated tests. Define SLAs based on built-in monitoring metrics. Put pressure on the app and compare SLAs to server-level statistics to determine performance. Automate pass/fail triggers based on SLAs. Contributes to root cause analysis. Update test scripts faster with automatic test script updates. Update only the part of the test that’s changed and re-use the rest for easy test maintenance.