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Ratings and Reviews 0 Ratings
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What is Revefi Data Operations Cloud?
Discover a seamless, zero-touch copilot engineered to elevate data quality, optimize spending efficiency, enhance performance metrics, and improve overall resource utilization. Your data team will be quickly alerted to any analytics failures or operational obstacles, ensuring that no significant issues slip through the cracks. We efficiently detect anomalies and send instant notifications, helping you uphold high standards of data integrity and avert downtime. When performance metrics trend negatively, you will receive immediate alerts, allowing you to take proactive corrective actions. Our innovative solution effectively connects data usage with resource allocation, empowering you to reduce costs and distribute resources judiciously. We offer an in-depth analysis of your spending across various categories, including warehouse, user, and query, promoting transparency and control. Should any spending patterns shift unfavorably, you will be promptly informed. Gain essential insights into underutilized data and its potential impact on your business's value. Enjoy the advantages of Revefi, which diligently tracks waste and uncovers opportunities to enhance resource usage. With automated monitoring seamlessly incorporated into your data warehouse, the need for manual data checks is eliminated, allowing you to swiftly pinpoint root causes and address issues within minutes. This capability helps prevent any negative repercussions on your downstream users, thereby boosting overall operational efficiency. Ultimately, by ensuring your data-driven decisions are grounded in precise and timely information, you can maintain a competitive advantage in the marketplace. Moreover, this comprehensive approach fosters a culture of continuous improvement within your organization, driving innovation and success in an ever-evolving landscape.
What is IBM Databand?
Monitor the health of your data and the efficiency of your pipelines diligently. Gain thorough visibility into your data flows by leveraging cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. This observability solution is tailored specifically for Data Engineers. As data engineering challenges grow due to heightened expectations from business stakeholders, Databand provides a valuable resource to help you manage these demands effectively. With the surge in the number of pipelines, the complexity of data infrastructure has also risen significantly. Data engineers are now faced with navigating more sophisticated systems than ever while striving for faster deployment cycles. This landscape makes it increasingly challenging to identify the root causes of process failures, delays, and the effects of changes on data quality. As a result, data consumers frequently encounter frustrations stemming from inconsistent outputs, inadequate model performance, and sluggish data delivery. The absence of transparency regarding the provided data and the sources of errors perpetuates a cycle of mistrust. Moreover, pipeline logs, error messages, and data quality indicators are frequently collected and stored in distinct silos, which further complicates troubleshooting efforts. To effectively tackle these challenges, adopting a cohesive observability strategy is crucial for building trust and enhancing the overall performance of data operations, ultimately leading to better outcomes for all stakeholders involved.
Integrations Supported
Amazon EMR
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Apache Spark
Azkaban
Azure Data Factory
Databricks Data Intelligence Platform
Delta Lake
Integrations Supported
Amazon EMR
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Apache Spark
Azkaban
Azure Data Factory
Databricks Data Intelligence Platform
Delta Lake
API Availability
Has API
API Availability
Has API
Pricing Information
$299 per month
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Revefi
Company Location
United States
Company Website
www.revefi.com
Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/products/databand
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Categories and 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