Help Desk

Web and Video Conferencing

Customer Support

AI Development

Cross-Browser Testing

Interactive Application Security Testing (IAST)

WebOps

Development

Academic Advising

Online Proctoring Software

Education

Audit

Business Intelligence (BI)

Collaboration

Workflow

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Leave Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Brokers

Cloud Cost Management

Cloud Storage

Converged Infrastructure

Database Load Balancing

Fraud Detection

Hyper-Converged Infrastructure

IT Operations Analytics

Integration Platform as a Service (iPaaS)

MLOps

Managed DNS

Network Performance Monitoring

Release Management

Requirements Management

Solid State Drives

Time Series Databases

Tower Servers

Unified Endpoint Management (UEM)

Value-Added Resellers (VARs)

VoIP Monitoring

Website Hosting

Wireless LAN

Information Technology

A/B Testing

AI Writing Assistant Software

Ad Serving & Retargeting

Affiliate

All-in-One Marketing

Brand Intelligence

Content Management

Data Management

Email Marketing

Gamification

Marketing Analytics

Marketing Automation

Mobile Advertising

Online Proofing

Press Release Management

Product Intelligence

Social Media Management

Social Media Marketing

Survey & Forms Building

Video Collaboration

Web Analytics

Marketing

AI Meeting Assistants

Project Management

Professional Services

Customer Relationship Management (CRM)

Lead Generation

Sales

Secure Service Edge (SSE)

Security

Financial Services CRM

HIPAA Compliance

Internet of Medical Things

eDiscovery

Vertical-Specific

Find top rated software and services based on in-depth reviews from verified users. 400+ software categories including PaaS, NoSQL, BI, HR, and more.

Amazon RDS Performance Insights

Amazon AWS

SolarWinds Database Performance Analyzer

SolarWinds

Foglight

Quest Software

SolarWinds Database Performance Monitor

Percona Monitoring and Management (PMM)

Percona

Fortra Robot Monitor

Fortra

dbWatch

IDERA Precise for Databases

IDERA (an Idera, Inc. company)

pganalyze

Keebo

Snoptimizer

SELECT

phData

Azure Databricks

Snowflake

Google BigQuery

Cloudera Data Platform

Apache Spark

Apache Kafka

HPE Ezmeral Data Fabric (MapR)

Apache Hadoop

Impala Open Distribution

Apache HBase

### Cluster Management
Users consistently praise Unravel Data's cluster management capabilities, highlighting its effectiveness in optimizing cloud services, particularly for monitoring and optimizing DataBricks clusters. The platform's recommendation engine is lauded for identifying issues within spark code, such as bad joins, bottlenecks, and data spills, leading to significant cost savings by suggesting cluster downgrades and configuration adjustments. While some users note occasional discrepancies in recommendations, overall, Unravel Data's cluster management features are seen as valuable tools for enhancing efficiency and reducing operational costs.

### Performance Optimization
User sentiment regarding Unravel Data's performance optimization features is predominantly positive, with many users highlighting its ability to optimize costs and enhance the efficiency of data pipelines. The platform's recommendation engine is praised for its effectiveness in identifying and addressing issues within spark code, such as bottlenecks and data spills. Additionally, users appreciate the platform's comprehensive insights into resource utilization and instance sizing, which contribute to cost savings and improved operational efficiency. Unravel Data's focus on optimizing big data workloads on modern data platforms like Hadoop, Spark, and Kafka is seen as a valuable asset by data teams looking to streamline their operations and drive value from their data applications.

### Cost Management
Reviewers have expressed satisfaction with Unravel Data's cost management capabilities, highlighting its effectiveness in optimizing expenses and enhancing cost efficiency. Users appreciate the platform's ability to provide valuable insights and recommendations for reducing cloud costs, improving resource utilization, and optimizing instance sizing. While some users have noted minor limitations in certain recommendations, overall, Unravel Data is recognized for its valuable contribution to cost optimization strategies within data operations.

### Job Scheduling and Monitoring
Users generally appreciate Unravel Data's job analysis and cost optimization features. The tool's ability to monitor spark jobs, identify bottlenecks, bad joins, and data spills, as well as provide recommendations for cost-saving measures, has been well-received. However, some users have noted limitations in job-level information and search functionality, which can hinder the overall monitoring experience. Despite these minor drawbacks, Unravel Data seems to effectively assist in optimizing cluster costs and improving job performance for many users.

### Data Stack Integration
Reviewers have expressed a mix of opinions regarding Unravel Data's data stack integration capabilities. While some users appreciate the platform's ability to provide full-stack visibility and actionable insights, others have raised concerns about the complexity of the data stack and the challenges it poses in troubleshooting and untangling issues efficiently. Despite the varying sentiments, it is evident that Unravel Data's data stack integration functionality plays a significant role in enabling organizations to optimize performance, control costs, and drive value from modern data applications.

### Big Data Handling
Users generally praise Unravel Data's ability to handle big data workloads effectively. They appreciate the platform's capacity to manage and optimize big data tasks on modern data platforms like Hadoop, Spark, and Kafka. Additionally, users find value in Unravel Data's capability to provide insights and recommendations for optimizing cloud costs and resource utilization. The automated analysis using AI/ML algorithms is highlighted as a strong point, enabling users to easily identify and address issues within their big data workflows.

Cloud Optimization: Reviewers praise Unravel Data's platform for its ability to monitor and optimize cloud services, with a focus on the DataBricks service. Some users have found it invaluable in managing Spark jobs over time, providing recommendations for cluster optimization and code optimization. Overall, reviewers find Unravel Data to be fast, accurate, and cost-effective compared to other platforms.

Recommendation Engine: The recommendation engine is one of the standout features of Unravel Data's platform according to multiple reviews. It handles all major cloud platforms and provides AI-enabled optimization. Users can set up budgets for cloud services and receive alerts if any service goes over budget. 

Data Analysis: Users appreciate that Unravel Data stores all logs for jobs and interactive clusters while also providing job run details, costs, execution times, run times, and other metrics. Multiple reviewers mention how dashboards, reports, visual representations help with detailed analysis of data enabling them to make informed decisions at the right time based on exact spending figures provided by the platform.

Slow upgrading process: Some users have reported that the upgrading process to Unravel v4.7x is slow and sometimes requires re-uploading due to validation failures.

High investment cost: Several users have expressed concerns about the high investment costs of using Unravel Data software, which they found to be higher compared to similar products in the market.

Limited search functionality: The search function within Unravel Data software has been criticized by some users for being ineffective in finding jobs, and the Spark analysis tab doesn't always provide helpful tips.

LogicMonitor’s SaaS-based platform, LM Envision, enables observability across on-prem and multi-cloud environments. It provides IT and business teams operational visibility and predictability across their technologies and applications.

Website Monitoring

LogicMonitor

Unravel Data

Database Performance Monitoring software is designed to monitor the database at all times to monitor current state or past state, monitor Top SQL operations (designed to limit data query to e.g. top 3 to ensure that performance is not compromised), event calendar and Disk Space. All relevant data is visible on a single management dashboard.

Database Performance Monitoring

Unravel Spark tuning and debugging demo

Azure Databricks demo long

Migrating Big Data Workloads to the Cloud with Unravel

Kunal Agarwal, CEO at Unravel, Venture Beat Transform 2019

How Cox Auto is managing and running their Databricks Environment with Unravel

Drive Value from Modern Data Applications with Unravel Data

Exciting News About Unravel Data

Mastering Databricks Environments with Unravel Data

Unravel for Azure HDInsight via Azure Marketplace

What is Unravel?

Unravel Data DataOps Demo

Unravel Data offers an application performance management solution for big data operations.

Unravel Data radically simplifies the way businesses understand and optimize the performance of their modern data applications – and the complex pipelines that power those applications. 

Providing a unified view across the entire stack, Unravel’s data operations platform leverages AI, machine learning, and advanced analytics to offer actionable recommendations and automation for tuning, troubleshooting, and improving performance.

Learn more about Unravel Data
Website: https://www.unraveldata.com/  
Book a live demo: https://www.unraveldata.com/demo/  
Create a free account: https://www.unraveldata.com/create-account/

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

Unravel Data

Overview

What is Unravel Data?