Communications Outsourcing

Customer Success

Help Desk

Web and Video Conferencing

Customer Support

Image Recognition

Java Technologies

Software Repositories

Development

Business Intelligence (BI)

Collaboration

Contract Management

Electronic Signature

Interactive Voice Response (IVR)

Supply Chain Management

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Benefits Administration

Corporate Learning Management

Credentialing

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Brokers

Cloud Storage

Data Center Infrastructure Management

Data Center Outsourcing (USA)

Data Mapping

Data Observability

Data Privacy Management

Fraud Detection

Governance, Risk & Compliance

Hyper-Converged Infrastructure

IT Asset Disposal

IT Asset Management

Integration Platform as a Service (iPaaS)

Log Management

Network Performance Monitoring

Operating Systems

Packet Analyzer

Single Sign-On

Smart Contracts

Software Defined Storage (SDS)

Software Distribution

Solid State Drives

Tape Storage

Unified Endpoint Management (UEM)

Virtual Private Cloud (VPC)

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Digital Content Creation

Digital Signage

Email Management

Email Marketing

Marketing Automation

Social Media Management

Survey & Forms Building

Video Collaboration

Web Analytics

Marketing

Meeting Room Booking

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales Acceleration

Sales

Animation

Building Information Modeling (BIM)

Equipment Rental

Insurance Suites

Investment Portfolio Management

Legal Billing

Public Sector Software

Tax Practice Management

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.

Sumo Logic

Oracle Enterprise Manager

Oracle

SolarWinds Server & Application Monitor

SolarWinds

Datadog

IBM Turbonomic

LogicMonitor

New Relic

Percona Monitoring and Management (PMM)

Percona

HP OpenView (Discontinued)

Discontinued Products

Keebo

Snoptimizer

SELECT

phData

Azure Databricks

Snowflake

Google BigQuery

Cloudera Data Platform

Apache Spark

Apache Kafka

HPE Data Fabric

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.

SQL Sentry

Plan Explorer (SQL Server Query Tuning)

SQL Sentry for Azure SQL Database

SolarWinds SQL Sentry

Standard

Professional

Standard (subcription)

Professional (subscription)

Enterprise (subscription)

dbForge Studio (Edge)

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?