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ease
features
design
support

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Write a Review

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

Experience the implications of data-related problems without the need to execute SQL queries. Our approach involves a thorough analysis of your logs and metadata to uncover issues such as freshness and volume discrepancies, changes in table schemas, and errors within pipelines, along with their potential impacts on your business operations. Masthead continuously monitors all tables, processes, scripts, and dashboards in your data warehouse and integrated BI tools, providing immediate alerts to data teams whenever failures arise. It reveals the sources and consequences of data anomalies and pipeline errors affecting consumers of the data. By mapping data problems onto lineage, Masthead enables you to resolve issues quickly, often within minutes rather than spending hours troubleshooting. The ability to gain a complete overview of all operations within GCP without granting access to sensitive data has proven transformative for us, ultimately leading to significant savings in both time and resources. Additionally, you can achieve insights into the expenses associated with each pipeline operating in your cloud environment, no matter the ETL method employed. Masthead is equipped with AI-driven recommendations designed to enhance the performance of your models and queries. Connecting Masthead to all components within your data warehouse takes just 15 minutes, making it a swift and efficient solution for any organization. This streamlined integration not only accelerates diagnostics but also empowers data teams to focus on more strategic initiatives.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Google Cloud BigQuery
Amazon EMR
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Spark
Azkaban
Azure Data Factory
Databricks Data Intelligence Platform
Delta Lake
Docker
Google Cloud Storage
Java
Looker
MLflow
MySQL
OAuth
PostgreSQL
Python
Snowflake

Integrations

Google Cloud BigQuery
Amazon EMR
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Spark
Azkaban
Azure Data Factory
Databricks Data Intelligence Platform
Delta Lake
Docker
Google Cloud Storage
Java
Looker
MLflow
MySQL
OAuth
PostgreSQL
Python
Snowflake

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$899 per month
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

Masthead

Country

Canada

Website

mastheadata.com

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

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

Alternatives

Alternatives