Compare Datakin vs. Masthead

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.

BIGDBM, a leading US provider of data, has over 7 years of experience in building identity graphs, with a focus primarily on ROI, privacy, and quality. Our US consumer and B2B data sets can be used to enhance your marketing campaigns, lead-generation strategies, and identity validation workflows. Our unrivaled datasets of consumer data provide you with valuable insight into the consumer. These include core contact information (emails and phone numbers, addresses, device identifiers, etc. ), lifestyle and affinity attributes as well as buyer intent and consumer website visits. Our B2B data sets provide comprehensive and current contact information on 30 million+ US companies and 125 million+ employees to help you develop your sales pipeline.

It works: Codeless testing Give your entire team the ability to create and maintain automated tests. Not just developers. Meet your testing demands fast. You can get full coverage of your tests in days and not months. Our natural-language tests are very resistant to code changes. Our AI will quickly repair any test failures. Continuous Testing is a key component of Agile/DevOps. Push features to production in the same day. Boozang supports the following test approaches: - Codeless Record/Replay interface - BDD / Cucumber - API testing - Model-based testing - HTML Canvas testing The following features makes your testing a breeze - In-browser console debugging - Screenshots to show where test fails - Integrate to any CI server - Test with unlimited parallel workers to speed up tests - Root-cause analysis reports - Trend reports to track failures and performance over time - Test management integration (Xray / Jira)

Over 1,000 organizations worldwide depend on Resolver’s security, risk and compliance software. From healthcare and hospitals to academic institutions, and critical infrastructure organizations including airports, utilities, manufacturers, hospitality, technology, financial services and retail. For security and risk leaders who are looking for a new way to manage incidents and risks, Resolver will help you move from incidents to insights.

Gaviti automates the invoice to cash flow process, allowing accounts receivable departments to make better credit decisions and reduce DSO. It also helps them reconcile payments more quickly. Our advanced automation tools will help you eliminate manual, time-consuming tasks in A/R. Gaviti has earned trust from industry leaders such as EY, cPrime and PWC. Our track record speaks volumes. Our clients have achieved amazing results, reducing their Days Sales Outstanding by 30%-50% in just six months after adopting Gaviti. Collections Analytics: Useful data to optimize your strategy. Make data-driven decisions based on trends to increase your collection efficiency. Cash Application Made Easy: Forget the headaches of reconciling payments. Automate your cash application and achieve 100% accuracy. Improved cash flow, and happier customers. Strategic Credit Management: Make informed decisions about credit with confidence. Powerful

Accordant can be used to manage any type of workspace from hybrid, traditional, agile and more. Everything is accessed via a web browser to manage space, plan moves, book desks, track occupancy, view leases, analyze utilization and more. Accordant is compatible with post PC and mobile devices for easy use. If you are looking for a complete workspace solution or even just one or two tools, Accordant has the elements you need. We have clients from 250 employees right up to 25,000+ our pricing is based on space and not users making this an affordable solution for everybody.

Tableau, a comprehensive business intelligence (BI/analytics) solution, allows you to generate, analyze, and interpret business data. Tableau allows users to gather data from many sources, including spreadsheets, SQL databases and Salesforce. Tableau offers real-time visual analytics as well as an interactive dashboard that allows users to slice and dice data to make relevant insights and find new opportunities. Tableau allows users to customize the platform for different industry verticals such as communication, banking, and more.

Union.ai Benefits: - Accelerated Data Processing & ML: Union.ai significantly speeds up data processing and machine learning. - Built on Trusted Open-Source: Leverages the robust open-source project Flyte™, ensuring a reliable and tested foundation for your ML projects. - Kubernetes Efficiency: Harnesses the power and efficiency of Kubernetes along with enhanced observability and enterprise features. - Optimized Infrastructure: Facilitates easier collaboration among Data and ML teams on optimized infrastructures, boosting project velocity. - Breaks Down Silos: Tackles the challenges of distributed tooling and infrastructure by simplifying work-sharing across teams and environments with reusable tasks, versioned workflows, and an extensible plugin system. - Seamless Multi-Cloud Operations: Navigate the complexities of on-prem, hybrid, or multi-cloud setups with ease, ensuring consistent data handling, secure networking, and smooth service integrations. - Cost Optimization: Keeps a tight rein on your compute costs, tracks usage, and optimizes resource allocation even across distributed providers and instances, ensuring cost-effectiveness.

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.