CloverETL vs Scoop Analytics comparison

Javlin and Scoop Analytics are both solutions in the Data Visualization category. Javlin is ranked #40, while Scoop Analytics is ranked #85. Additionally, 100% of Javlin users are willing to recommend the solution.

CloverETL

Read 2 CloverETL reviews

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100% willing to recommend

Scoop Analytics

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CloverETL

Scoop Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 25, 2025

CloverETL and Scoop Analytics are competing in the data integration and analytics market. Scoop Analytics appears to have the upper hand due to its comprehensive feature set.

Features: CloverETL offers reliable data transformation, automation workflows, and extensive integration capabilities. Scoop Analytics provides real-time analytics, intuitive data visualization, and dynamic data processing.

Ease of Deployment and Customer Service: CloverETL supports a flexible deployment model with satisfactory customer service. Scoop Analytics offers cloud-based deployment with straightforward setup and excellent customer service.

Pricing and ROI: CloverETL has a significant initial setup cost but justifies the expense with improved operational efficiency. Scoop Analytics is higher in price but delivers strong ROI through powerful analytics tools and effective data insights.

To learn more, read our detailed Data Visualization Report (Updated: June 2025).

Buyer's Guide

Data Visualization

June 2025

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Helped 863,429 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

CloverETL

Ranking in Data Visualization

40th

Average Rating

7.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (60th)

Scoop Analytics

Ranking in Data Visualization

85th

Average Rating

0.0

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (132nd)

Featured Reviews

it_user856614

Lead Programmer at a healthcare company with 10,001+ employees

Very easy to schedule jobs and monitor them, however we run out heap space even with a high allocation

Flexibility: We can bring in data from multiple sources, e.g., databases, text files, JSON, email, XML, etc. This has been very helpful Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility. Server features for scheduler: It is…

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Comparisons

SAS Visual Analytics vs CloverETL

Compared 52% of the time

Pentaho Data Integration and Analytics vs CloverETL

Compared 48% of the time

More CloverETL Competitors

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Product Reports

Buyer's Guide

Data Integration

July 2025

Download CloverETL product report

Buyer's Guide

BI (Business Intelligence) Tools

July 2025

Download Scoop Analytics product report

Overview

CloverETL is a rapid, end-to-end data integration solution. Businesses choose CloverETL for its usability and intuitive controls, along with its lightweight footprint, flexibility, and processing speed. Achieving true, rapid data integration means much more than just raw data processing power. Rapid refers to an end-to-end process that begins the moment a data-related problem is recognized to the point when the data is in the right place and form to be analyzed and monetized.

Javlin

Scoop Analytics offers data-driven insights empowering businesses to make informed decisions, optimize operations, and achieve growth. Its capabilities enhance data analysis, providing crucial information for strategic planning and operational efficiency.

Scoop Analytics enhances decision-making by leveraging cutting-edge data processing and analysis methodologies. It is tailored for professionals seeking to transform raw data into actionable intelligence, streamlining complex datasets into intuitive, meaningful reports. This makes it an essential asset for businesses aiming to harness data effectively. Integration with existing systems is seamless, ensuring rapid deployment and minimal downtime.

What are the most important features of Scoop Analytics?

Data Integration: Easily connect with multiple data sources for comprehensive analysis.
Advanced Analytics: Utilize sophisticated algorithms to process data and generate predictive insights.
Customizable Dashboards: Create tailored visual representations to meet business requirements.
Real-time Reporting: Access up-to-date data instantly, supporting timely decision-making.

What benefits should users expect when evaluating Scoop Analytics?

Improved Decision Making: Access to precise data analytics supports strategic choices.
Cost Efficiency: Streamlined processes lead to cost savings and resource optimization.
Scalability: Adapts to changing business needs without requiring major changes.
Increased Productivity: Automation reduces manual tasks, allowing focus on key areas.

Scoop Analytics is implemented across sectors such as retail, finance, and healthcare. In retail, it optimizes inventory management by analyzing consumer trends. Financial institutions use it for risk analysis. Healthcare applications include patient data analysis for improved care outcomes, demonstrating versatility.

Scoop Analytics

Sample Customers

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA

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