Software Alternatives, Accelerators & Startups

WebDataRocks Pivot Table VS Split Fee

Compare WebDataRocks Pivot Table VS Split Fee and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

WebDataRocks Pivot Table logo WebDataRocks Pivot Table

Free JavaScript library for data visualization & analysis

Split Fee logo Split Fee

Split Fee connects UK recruitment agencies to collaborate on permanent placements. Share candidates and vacancies, match automatically, and split the fee.
  • WebDataRocks Pivot Table Landing page
    Landing page //
    2022-09-23
  • Split Fee Login screen
    Login screen //
    2026-03-16
  • Split Fee Dashboard page
    Dashboard page //
    2026-03-16

Split Fee is a platform for UK recruitment agencies to collaborate on permanent placements.

Every agency has candidates they can't place and vacancies they can't fill. Another agency almost certainly has what you need โ€” but finding them, trusting them, and making the collaboration work has always been the hard part.

Split Fee solves this. Post your candidates and vacancies to the platform. Our matching algorithm finds opportunities across every agency on the network โ€” by skills, location, salary, and seniority. Candidate and client data stays anonymised until both sides agree to work together. When a placement is made, we handle the fee split and invoicing automatically.

No more posting in social media groups and hoping someone replies. No more sharing candidate details with strangers on trust alone. No more chasing invoices from agencies you barely know.

45% for you. 45% for them. 10% platform fee โ€” only when a placement is made.

Half of a placement fee is infinitely better than none of it.

Split Fee

$ Details
freemium ยฃ97.0 / Monthly
Release Date
2026 March
Startup details
Country
United Kingdom
Founder(s)
Abbie Taylor
Employees
1 - 9

WebDataRocks Pivot Table features and specs

  • User-Friendly Interface
    WebDataRocks offers an intuitive and user-friendly interface that allows users to easily manipulate and analyze data without extensive technical knowledge.
  • Cross-Platform Compatibility
    The pivot table is compatible with multiple platforms and devices, ensuring that users can access and use it across browsers and operating systems.
  • Extensive Customization
    WebDataRocks provides extensive options for customization, allowing users to tailor the appearance and functionality of the pivot table to suit their needs.
  • Free to Use
    WebDataRocks is available as a free tool, making it accessible to users and organizations without incurring any cost.
  • Integration Capabilities
    It allows for easy integration with various JavaScript frameworks and backend systems, enhancing its versatility in different development environments.

Possible disadvantages of WebDataRocks Pivot Table

  • Limited Features
    Compared to some paid alternatives, WebDataRocks might have limitations in features, which could be a drawback for users needing advanced data processing capabilities.
  • Learning Curve for Advanced Use
    While the basic interface is user-friendly, mastering advanced features and customizations might require a learning curve.
  • Dependency on Web Environment
    As a web-based tool, its performance and accessibility can be affected by network issues or limitations inherent to web applications.
  • Limited Support
    Support and resources might be more limited compared to paid alternatives, resulting in possibly slower troubleshooting or assistance.
  • Potential Performance Issues
    Handling large datasets might lead to performance issues, which can affect the efficiency of data processing and analysis.

Split Fee features and specs

No features have been listed yet.

Analysis of Split Fee

Overall verdict

  • Split Fee (split-fee.com) appears to be a niche referral/fee-splitting platform aimed at connecting professionalsโ€”likely in real estate, legal, or brokerage-type industriesโ€”to share commissions on referred deals. Without independent reviews or verified track record widely available, it should be approached with due diligence, but the concept itself addresses a real market need for structured referral partnerships.

Why this product is good

  • Provides a structured framework for professionals to formally split fees or commissions on referred business
  • Can help expand referral networks beyond one's immediate contacts or region
  • May reduce disputes over referral agreements by formalizing terms upfront
  • Potentially useful for professionals who receive occasional out-of-market or out-of-expertise leads they want to monetize

Recommended for

  • Real estate agents or brokers looking to refer out-of-area clients
  • Legal or financial professionals wanting to formalize referral fee arrangements
  • Freelancers or consultants who want to monetize leads outside their expertise
  • Small firms seeking to expand reach through partner referral networks

Category Popularity

0-100% (relative to WebDataRocks Pivot Table and Split Fee)
Tech
100 100%
0% 0
Recruitment Solutions
0 0%
100% 100
Design Tools
100 100%
0% 0
Recruitment
0 0%
100% 100

Questions & Answers

As answered by people managing WebDataRocks Pivot Table and Split Fee.

Which are the primary technologies used for building your product?

Split Fee's answer:

A next-generation serverless platform, built for AWS.

What makes your product unique?

Split Fee's answer:

Split Fee is the first purpose-built platform for split fee recruitment in the UK. Instead of relying on LinkedIn groups, WhatsApp messages, and manual agreements, agencies upload their candidates and vacancies and the platform automatically matches them across agencies.

Candidate identities are revealed gradually; anonymised at first, then progressively disclosed as both sides accept, so agencies can collaborate without the risk of circumvention.

Why should a person choose your product over its competitors?

Split Fee's answer:

Most "split fee networks" are just directories or social groups where agencies post and hope someone responds. Split Fee is an actual matching engine. It scores candidate-vacancy pairs, handles the legal agreements (non-circumvention, self-billing), automates invoicing and fee splits, and manages the entire placement lifecycle from match to payment. Everything that normally requires trust, phone calls, and spreadsheets is handled by the platform.

How would you describe the primary audience of your product?

Split Fee's answer:

UK recruitment agencies; from boutique firms with a handful of consultants to mid-sized agencies with specialist sector coverage. Any agency that has either strong candidates without the right vacancies, or client vacancies they can't fill from their own candidate pool. Split Fee turns those dormant assets into placements.

What's the story behind your product?

Split Fee's answer:

Abbie, our founder, knew that although split fee arrangements have existed in recruitment for decades, the process has always been manual: find a partner agency, negotiate terms, trust them with your candidate data, chase invoices. Most agencies avoid it because the overhead and risk outweigh the reward. Abbie built Split Fee to remove that friction entirely, with automated matching, progressive identity disclosure, built-in legal agreements, and automated billing, making split placements as straightforward as direct ones.

User comments

Share your experience with using WebDataRocks Pivot Table and Split Fee. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing WebDataRocks Pivot Table and Split Fee, you can also consider the following products

Brandwatch Vizia - Multi-screen display telling the story of your social data

Unbench - Beyond recruitment, Unbench became a dynamic matchmaking platform, efficiently connecting companies with top specialists.

Datamatic.io - Datamatic - WordPress for data visualizations

Visualoop - Dribbble for infographic & data visualization artists

SCImago Graphica - SCImago Graphica is a desktop application (Mac, Win and Linux) designed to analyze and visualize data.

The Data Visualisation Catalogue - Reference tool for data visualisation