DataOps Dataflow logo

DataOps Dataflow

0(0 reviews)
Software Status:Active

About DataOps Dataflow

DataOps Dataflow is a data integration software from Datagaps that supports the management and automation of data workflows. It provides features such as real-time data processing, reliable monitoring, and error handling so users can maintain data quality and reliability. This software is designed to facilitate the smooth flow of data across various systems and applications, ensuring timely access to critical information. With its user-friendly interface, users can easily create, manage, and visualize data pipelines. Key capabilities: real-time data processing monitoring dashboards error tracking automated workflow management integration with multiple data sources Best for: data engineers and analysts that need to manage and automate data workflows effectively.

DataOps Dataflow Details

Vendor
Datagaps
Year Launched
2010
Location
13800 Coppermine Rd, Herndon,(HQ), VA 20171, USA
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, French, German, Spanish, Italian, Japanese, Chinese, Korean, Portuguese, Russian
Users
Data Engineer, ETL Developer, Data Quality Analyst, Data Migration Specialist, BI Tester, DataOps Engineer, Automation Engineer, Database Administrator
Industries Served
Healthcare, Financial Services, Life Sciences, Retail, Higher Education
Tags
Data Pipeline Testing, DataOps Automation, ETL Validation, Data Migration Testing, Big Data Testing, Data Quality Assurance, Apache Spark, Data Reconciliation, Machine Learning Anomaly Detection, Cloud Data Testing

DataOps Dataflow's In-App Market Place

Does DataOps Dataflow have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

NA

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (¥), INR (₹)

Pros & Cons

  • Automates complex ETL processes, ensuring accuracy and efficiency across workflows.
  • Supports hybrid deployments, including on-premise, private cloud, and multi-cloud environments.
  • Drag-and-drop interface simplifies test creation for non-technical data teams.
  • Provides real-time profiling with AI-driven anomaly detection and pattern analysis.
  • Enhances collaboration through integrated dashboards, alerts, and automated reporting features.
  • Requires technical setup expertise for distributed or large-scale data environments.
  • May require significant infrastructure resources for enterprise-level data operations.
  • Pricing details are not publicly disclosed, limiting cost transparency comparisons.
  • Developing custom integrations or plugins demands advanced technical development experience.
  • ML-based anomaly detection reliability varies depending on data complexity and structure.

DataOps Dataflow's Support Options

DataOps Dataflow's Alternatives