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Description
Keep a close eye on your data health and the performance of your pipelines. Achieve comprehensive oversight for pipelines utilizing cloud-native technologies such as Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. This observability platform is specifically designed for Data Engineers. As the challenges in data engineering continue to escalate due to increasing demands from business stakeholders, Databand offers a solution to help you keep pace. With the rise in the number of pipelines comes greater complexity. Data engineers are now handling more intricate infrastructures than they ever have before while also aiming for quicker release cycles. This environment makes it increasingly difficult to pinpoint the reasons behind process failures, delays, and the impact of modifications on data output quality. Consequently, data consumers often find themselves frustrated by inconsistent results, subpar model performance, and slow data delivery. A lack of clarity regarding the data being provided or the origins of failures fosters ongoing distrust. Furthermore, pipeline logs, errors, and data quality metrics are often gathered and stored in separate, isolated systems, complicating the troubleshooting process. To address these issues effectively, a unified observability approach is essential for enhancing trust and performance in data operations.
Description
Pipeline Enterprise offers a robust and user-friendly solution designed for effective data capture along the right of way. This innovative system modernizes the traditional method of manually entering data into spreadsheets by allowing inspectors to input information directly, which is then seamlessly integrated into a centralized reporting system. Our platform is versatile enough to function in remote project sites and is applicable to all types of pipeline construction endeavors. It effectively addresses challenges linked to data inconsistency concerning quality, construction progress, workforce management, and overall project performance. Among its standout features are real-time progress tracking, enhanced inspection accountability, significant time and cost reductions, standardized processes and quality, vital performance metrics, and adherence to regulatory standards. Developed with a foundation of tested engineering principles, Pipeline Enterprise software incorporates industry best practices globally. The software's architecture leverages cutting-edge mobile, GPS, GIS, DataStore, and cloud technologies, ensuring that it remains accessible and effective in a variety of settings, making it an invaluable tool for the industry. Furthermore, its adaptability to evolving project needs underscores its importance in modern pipeline management.
API Access
Has API
API Access
Has API
Integrations
Amazon EMR
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Azure Data Factory
Docker
Google Cloud BigQuery
Google Cloud Composer
Google Cloud Dataproc
Integrations
Amazon EMR
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Azure Data Factory
Docker
Google Cloud BigQuery
Google Cloud Composer
Google Cloud Dataproc
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/databand
Vendor Details
Company Name
Metegrity
Founded
1992
Country
Canada
Website
metegrity.com/pipeline-enterprise
Product Features
Data Lineage
Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery