Software Alternatives, Accelerators & Startups

TrackingDesk VS ArangoDB

Compare TrackingDesk VS ArangoDB and see what are their differences

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TrackingDesk logo TrackingDesk

Conversion Tracking & Attribution platform for performance marketers.

ArangoDB logo ArangoDB

A distributed open-source database with a flexible data model for documents, graphs, and key-values.
  • TrackingDesk Landing page
    Landing page //
    2023-08-23

TrackingDesk allows performance marketers to streamline their conversion data flow across ad platforms, affiliate networks and funnels. Thanks to our native Zapier integration, you can amplify the value of your ad campaigns by pushing conversion data to over 1000 apps.

  • ArangoDB Landing page
    Landing page //
    2023-01-20

TrackingDesk features and specs

  • Comprehensive Analytics
    TrackingDesk offers in-depth analytics and real-time reporting that allows marketers to closely monitor the performance of their campaigns and make data-driven decisions.
  • Integration with Multiple Networks
    It supports integration with various ad networks, affiliate programs, and other marketing platforms, providing flexibility and easier campaign management.
  • Customizable Tracking
    Users can set up custom tracking parameters to measure specific metrics, offering tailored insights into different aspects of campaigns.
  • User-Friendly Interface
    The platform features an intuitive and easy-to-navigate interface, making it accessible even for those who are not highly technical.
  • Automated Campaign Management
    Tools for automation help reduce manual tasks, allowing marketers to focus on strategy rather than routine operations.

Possible disadvantages of TrackingDesk

  • Cost
    TrackingDesk can be expensive, especially for small businesses or individual marketers with limited budgets.
  • Learning Curve
    Despite a user-friendly interface, the wide array of features may require a learning period to fully understand and utilize all functionalities.
  • Limited Support
    Some users report that customer support is not as responsive or helpful as desired, which could be an issue when facing technical difficulties.
  • Complex Setup
    Initial setup of tracking and integrations can be complex and time-consuming, requiring some technical knowledge.
  • Potential for Overwhelming Data
    The amount of data and options available can be overwhelming for users who are not experienced in data analysis and digital marketing.

ArangoDB features and specs

  • Graph DB

Analysis of TrackingDesk

Overall verdict

  • TrackingDesk is considered a reliable and effective tool for those who need detailed insights and control over their ad campaigns. Its comprehensive feature set and user-friendly interface make it a solid choice for both beginners and experienced marketers. However, the suitability of the platform may vary based on individual needs and budget, as it can be quite robust for those with less intensive tracking requirements.

Why this product is good

  • TrackingDesk is a comprehensive ad tracking software primarily used by affiliates, digital marketers, and agencies to manage and optimize their campaigns. It offers a wide range of features, including real-time reporting, multi-channel support, and advanced targeting options. Its usability and integrations with various traffic sources and ad platforms make it an appealing choice for those looking to maximize their ad performance.

Recommended for

  • Affiliate marketers seeking advanced tracking and optimization capabilities.
  • Digital marketing agencies managing multiple clients and campaigns.
  • Businesses looking for real-time data analytics to optimize ad spend.
  • Marketers who require integration with multiple ad platforms and traffic sources.

Analysis of ArangoDB

Overall verdict

  • ArangoDB is indeed a good option for those looking for a flexible, feature-rich, and scalable database solution. It caters to modern applications requiring diverse data representations and complex querying capabilities, particularly when graph functionality is vital. However, the right choice depends on specific project requirements and familiarity with ArangoDB’s features and ecosystem.

Why this product is good

  • ArangoDB is a highly versatile database solution known for its multi-model approach, which supports document, key/value, and graph data models. This flexibility allows for complex data structures and enables developers to use the most suitable model for their specific application needs all within a single database. Additionally, ArangoDB offers robust features such as a powerful query language (AQL), scalability, a flexible architecture, and native support for graph analytics, making it suitable for a wide range of use cases.

Recommended for

  • Developers and organizations needing a multi-model database solution
  • Projects requiring complex data analysis, including graph algorithms
  • Applications that can benefit from a flexible, schema-free data structure
  • Teams looking for scalability and horizontal expansion capabilities
  • Environments with diverse data representation needs where maintaining multiple databases is inefficient

TrackingDesk videos

TrackingDesk Review: Click Tracking Tool Made for Marketers

More videos:

  • Review - TrackingDesk Full Account Setup
  • Review - TrackingDesk webinar adwords parallel tracking

ArangoDB videos

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Category Popularity

0-100% (relative to TrackingDesk and ArangoDB)
Affiliate Marketing
100 100%
0% 0
Databases
0 0%
100% 100
Advertising
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare TrackingDesk and ArangoDB

TrackingDesk Reviews

We have no reviews of TrackingDesk yet.
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ArangoDB Reviews

9 Best MongoDB alternatives in 2019
ArangoDB is a native multi-model DBMS system. It supports three data models with one database core and a unified query language AQL. Its query language is declarative which helps you to compare different data access patterns by using a single query.
Source: www.guru99.com
Top 15 Free Graph Databases
ArangoDB is a distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. ArangoDB
ArangoDB vs Neo4j - What you can't do with Neo4j
Scalability needs and ArangoDB ArangoDB is cluster ready for graphs, documents and key/values. ArangoDB is suitable for e.g. recommendation engines, personalization, Knowledge Graphs or other graph-related use cases. ArangoDB provides special features for scale-up (Vertex-centric indices) and scale-out (SmartGraphs).

Social recommendations and mentions

Based on our record, ArangoDB seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

TrackingDesk mentions (0)

We have not tracked any mentions of TrackingDesk yet. Tracking of TrackingDesk recommendations started around Mar 2021.

ArangoDB mentions (6)

View more

What are some alternatives?

When comparing TrackingDesk and ArangoDB, you can also consider the following products

LeadDyno - Lead Dyno - Affiliate Tracking Software

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Refersion - Seamless influencer tracking system for online retailers.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

SkimLinks - SkimLinks converts any normal product or merchant link in your content into its equivalent affiliate link as a user clicks on it. Their technology works seamlessly behind the scenes, so it’s practically invisible to your readers.

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.