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CData Arc VS Qlik

Compare CData Arc VS Qlik and see what are their differences

CData Arc

Secure Data Integration & Managed File Transfer (MFT)

CData Arc Landing page
Rating
0 reviews
Pricing
Free trial
Alternatives Is it good?
Qlik

Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

Qlik Landing page
Rating
5.0 · 1 review
Alternatives Is it good?
Cyclr
Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app with Cyclr's flexible Embedded iPaaS. sponsored

Which is more popular?

Based on our record, Qlik seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
0 vs 1
Data Integration popularity
100% vs 0%
alternatives listed
150 vs 240+

Base details

Website, pricing, platforms and company facts side by side.

CData Arc
Qlik
Website arc.cdata.com qlik.com
Pricing
Free trial
Official pricing
Listed in
EDI Software File Sharing FTP And File Uploads Automation Data Integration +2
Data Analytics Data Integration Data Dashboard Business Intelligence AI And Machine Learning Data Visualization Embedded Analytics Data Streaming (CDC) Data Warehouse Automation +6

About CData Arc and Qlik

In their own words, as submitted to SaaSHub.

CData Arc
Qlik

CData Arc is a leading B2B application and data connectivity solution for secure managed file transfer (MFT), EDI processing, and back-office integration. It seamlessly connects enterprise applications like CRMs, ERPs, RDBMS, and more to automate complex processes and synchronization across the...

Read more about CData Arc

No description of Qlik yet.

Features and specs

What each product offers, as listed by its team.

CData Arc 4 features
Qlik 5 features
  • No-Code Integrations
  • EDI Integration
  • Certified Managed File Transfer
  • API and Application Integration
  • Data Integration
    Qlik offers powerful data integration capabilities, allowing users to pull in data from multiple sources, clean it, and prepare it for analysis. This is particularly useful for organizations dealing with diverse datasets.
  • Associative Data Engine
    Qlik's unique associative data engine enables users to explore data freely, without the limitations of traditional hierarchical or query-based models. This feature ensures that all data relationships are maintained and accessible.
  • Interactive Visualizations
    Qlik provides highly interactive and customizable visualizations, making it easier for users to derive insights and share findings. The visualizations are intuitive and can be tailored to meet specific business needs.
  • AI Capabilities
    The platform includes AI-driven features like Insight Advisor, which helps users uncover insights and generate analytics automatically. This reduces the learning curve and makes advanced analytics more accessible.
  • Scalability
    Qlik is designed to scale from small teams to large enterprises. It supports both on-premises and cloud deployments, making it flexible to meet various business sizes and infrastructure preferences.

Possible disadvantages

  • Complexity in Initial Setup
    The initial setup and configuration of Qlik can be complex and time-consuming, often requiring specialized knowledge or professional services to get started effectively.
  • Cost
    Qlik can be expensive, especially for smaller businesses. The cost includes not just licensing fees but also potential expenditures on training, deployment, and maintenance.
  • Learning Curve
    Although Qlik offers a powerful feature set, there is a steep learning curve for new users. Mastering the platform's full capabilities can take significant time and effort.
  • Performance Issues
    In some instances, users have reported performance issues, particularly when dealing with extremely large datasets or complex queries, which can hinder real-time analysis.
  • Limited Third-Party Integration
    While Qlik does support integration with various third-party tools, it may not be as extensive as some other analytics platforms. This can limit its usefulness in a highly diversified technology stack.

Analysis

An editorial look at what each product does well and who it suits.

CData Arc
Qlik

Overall verdict

  • Overall, CData Arc is considered a strong solution for businesses needing reliable and versatile data integration and automation tools. It is particularly well-regarded for its comprehensive feature set and ease of use.

Why this product is good

  • CData Arc is a robust data integration and automation application designed to streamline complex data workflows. It offers a plethora of connectivity options, enabling seamless integration with various data sources and systems. With a user-friendly interface and advanced automation capabilities, CData Arc helps businesses improve operational efficiency and ensure data consistency across platforms.

Recommended for

  • Businesses seeking to integrate disparate data sources.
  • Companies needing to automate complex data workflows.
  • Organizations looking to improve data consistency and accuracy.
  • Industries requiring compliance with data exchange standards.

Overall verdict

  • Qlik is generally considered a good choice for data visualization and business intelligence needs.

Why this product is good

  • Flexibility
    Qlik's platform allows for self-service data discovery, guided analytics, and embedded analytics.
  • Integration
    Qlik integrates well with various data sources, making it versatile for diverse data environments.
  • User friendly
    Qlik offers an intuitive interface that caters both to advanced users and beginners.
  • Active community
    There is a strong community of Qlik users and developers who contribute to forums and share solutions.
  • Powerful analytics
    It provides robust analytics capabilities with associative data indexing, which lets users easily explore data.

Recommended for

  • Businesses seeking a comprehensive business intelligence tool.
  • Users who require a highly flexible, self-service analytics environment.
  • Organizations that need to integrate a wide array of data sources.
  • Companies looking for strong visual analytics capabilities.

Videos

Walkthroughs and reviews on video.

CData Arc 1 video + Add
Qlik 2 videos + Add

ArcESB Introduction: What is ArcESB?

A Day in the life of a Qlik Cloud User

More videos

  • Demo - Qlik Sense Product Tour

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
CData Arc
Qlik
100% 100%
Data Integration
0% 0%
0% 0%
Data Dashboard
100% 100%
100% 100%
File Sharing
0% 0%
0% 0%
Business Intelligence
100% 100%

User comments

Share your experience with using CData Arc and Qlik. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

CData Arc no reviews yet
Qlik 5.0 · 1 review

We have no reviews of CData Arc yet. Be the first one to post

  • Wow So Impresssed
    SaaSHub review
    · Apr 2026

    Qlik's associative data model makes data analytics seamless. Highly Recomend using this to anyone.

  • 10 Best Alternatives to Looker in 2024
    www.sigmacomputing.com · Dec 2024

    Qlik: Qlik sets itself apart with its associative analytics engine, enabling users to uncover trends and patterns through intuitive exploration without predefined queries. This offers a more flexible and dynamic...

  • Top 11 Fivetran Alternatives for 2024
    estuary.dev · Aug 2024

    Qlik provides three data integration products - Stitch (covered under Stitch) Talend Data Fabric (covered under Talend) and Qlik Replicate, which was originally Attunity. Qlik Replicate has both on-premises and cloud...

View more

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

CData Arc 0 mentions
Qlik 1 mention

Tracking CData Arc since Mar 2021.

  • GME FTD - Moving Daily Avg.
    All files was pulled into a program called : QLIK, qlik.com is the company and my company uses it for our reporting and our customer's reporting needs. Source: over 5 years ago

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