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Sisense VS mParticle

Compare Sisense VS mParticle and see what are their differences

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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.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Sisense logo Sisense

The BI & Dashboard Software to handle multiple, large data sets.

mParticle logo mParticle

mParticle is the customer data platform for brands leading the CX revolution. Unify data and simplify partner integrations with enterprise-class security and reliability.
  • Sisense Landing page
    Landing page //
    2023-10-11

Behind Sisense's drag-and-drop user interface and eye-grabbing visualization options lies a technology that forever changes the world of business analytics software. By removing limitations to data size and performance imposed by in-memory and relational databases, Sisense enables any business to deliver interactive terabyte-scale analytics to thousands of users within hours

  • mParticle Landing page
    Landing page //
    2023-08-24

mParticle believes that better customer experiences begin with better data. Its Customer Data Platform helps engineers, product managers, and marketers at companies like Spotify, Paypal, NBCUniversal, Starbucks, and Airbnb improve data quality and simplify integrations across the entire marketing stack. Founded in 2013, mParticle is headquartered in New York City with offices in San Francisco, Seattle, and London and manages more than 500 billion API calls monthly.

Sisense

Website
sisense.com
Pricing URL
Official Sisense Pricing
$ Details
-
Platforms
-
Release Date
-
Edit details

mParticle

Website
mparticle.com
Pricing URL
Official mParticle Pricing
$ Details
Platforms
Android iOS Web Roku
Release Date
2013 March
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Andrew Katz
Employees
100 - 249
Edit details

Sisense features and specs

  • Self-Service Analytics
    Sisense allows users to create, analyze, and visualize data through a straightforward drag-and-drop interface, which significantly reduces dependency on IT teams.
  • Scalability
    The platform is built to handle large datasets and can scale up efficiently to meet growing business needs, ensuring performance remains stable as data complexity increases.
  • Integrations
    Sisense offers robust integrations with numerous data sources, including databases, cloud services, and third-party applications, making it easy to unify data from across the organization.
  • Embedded Analytics
    The product provides strong embedded analytics capabilities, allowing businesses to integrate advanced analytics directly into their own applications and workflows.
  • Customizable Dashboards
    Users can create highly customizable dashboards tailored to specific business requirements, enabling more insightful and actionable data visualization.

Possible disadvantages of Sisense

  • Complexity for Novices
    While powerful, the platform has a steep learning curve for users who are not familiar with BI tools, requiring either training or a background in data analysis to leverage its full potential.
  • Cost
    Sisense can become expensive, particularly for small and medium-sized businesses, as pricing may increase with the addition of more users and data volume.
  • Performance Issues
    Some users report performance issues when dealing with extremely large datasets or complex queries, which can hinder real-time analytics and decision-making.
  • Customer Support
    Several users have mentioned that customer support can sometimes be slow to respond or resolve issues, which can be frustrating during critical business operations.
  • Limited Advanced Analytics
    While Sisense excels in self-service and embedded analytics, it may be less effective for advanced data science tasks such as machine learning and predictive analytics compared to specialized tools.

mParticle features and specs

  • Integrations
    Connect to 300+ of the leading marketing, analytics, warehousing, and activation tools
  • Demo Version
    demo.mparticle.com

Analysis of Sisense

Overall verdict

  • Sisense is a highly regarded business intelligence platform that is well-suited for companies looking for an easy-to-use yet powerful analytics tool. Its flexibility and scalability make it a strong contender in the BI market, catering to the needs of both small and large enterprises.

Why this product is good

  • Sisense is considered good due to its user-friendly interface, robust data visualization capabilities, and powerful analytics tools. It allows users to easily connect to a wide variety of data sources, provides advanced analytics without requiring deep technical knowledge, and offers customizable dashboards and reports. Additionally, Sisense includes features like AI-driven insights and high-speed processing, making it suitable for handling large datasets efficiently.

Recommended for

    Sisense is recommended for businesses and organizations of all sizes that need to transform complex data into actionable insights. It is particularly beneficial for data analysts, business strategists, and decision-makers who require real-time business intelligence and visualization without extensive IT intervention.

Sisense videos

+ Add

I Evaluated 4 BI Tools: Power BI, Tableau, Google Data Studio, & Sisense. Here's What I Found.

More videos:

  • Review - Sisense Business Intelligence Software: Product Spotlight
  • Demo - Sisense Product Demo

mParticle videos

+ Add

mParticle Overview

More videos:

  • Tutorial - mParticle - 3DS Max 2014 Tutorial. Level: advanced (creating flying paper)

Category Popularity

0-100% (relative to Sisense and mParticle)

Sisense

mParticle

Business Intelligence
100 100%
Business Intelligence
0% 0
Customer Data Platform
0 0%
Customer Data Platform
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Web Analytics
0 0%
Web Analytics
100% 100

User comments

Share your experience with using Sisense and mParticle. For example, how are they different and which one is better?
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Reviews

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

Sisense Reviews

Explore 7 Tableau Alternatives for Data Visualization and Analysis
Sisense is a top business intelligence tool that converts complex data into useful insights. Sisense's Elastic Data Engine (EDT) enables fast query performance and real-time analytics. It provides a simple interface for data processing, viewing, and sharing. Sisense scales quickly, offers advanced analytics, and protects data. Its mobile apps provide on-the-go access to...
Source: www.draxlr.com
10 Best Alternatives to Looker in 2024
Sisense: Sisense excels at merging complex data from multiple sources into actionable insights, making it perfect for businesses handling diverse data sets. Its drag-and-drop interface simplifies the analytics process, making it accessible even to users with limited technical expertise.
Source: www.sigmacomputing.com
6 Best Looker alternatives
Like Looker, Sisense doesnโ€™t release its pricing โ€“ they custom build quotes based on the number of users and data size. Reviews suggest that plans typically start at $17,000 per year.
Source: trevor.io
Top 10 AI Data Analysis Tools in 2024
One of the standout features of Sisense is its ability to visualize AI and machine learning-enhanced analytics through clear charts and graphs. Additionally, it supports natural language queries, allowing users to ask questions in everyday language and receive insights generated by natural language generation and generative AI technologies.
Source: powerdrill.ai
5 best dashboard building tools for SQL data in 2024
Sisense is the last business intelligence platform on our list, and it was founded in 2004. It operates on a single-stack architecture to provide insights as dashboards.
Source: www.draxlr.com

mParticle Reviews

2025 Guide | Best Hightouch alternatives
mParticle is a traditional CDP, initially specialised in mobile event collection. It now offers all the key features of a CDP: data collection, storage, audience management, customisation, and even real-time use cases and predictive attributes thanks to its โ€œCortexโ€ product.
Source: www.dinmo.com

Social recommendations and mentions

Based on our record, mParticle seems to be more popular. It has been mentiond 2 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.

Sisense mentions (0)

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

mParticle mentions (2)

  • Huge memory leak on all browsers?
    Checking the logs, I found calls to mparticle.com. If those are not successful, the browser tab freezes completely. Safari eventually detects this and reloads it - just to freeze again. Source: about 4 years ago
  • What exactly is mparticle?
    For example, if you open and order something in a popular US-based food delivery app, you'd find DNS queries made to various mparticle.com subdomains while using the app because they use mParticle to:. Source: about 4 years ago

What are some alternatives?

When comparing Sisense and mParticle, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiencesโ€”so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Segment - We make customer data simple.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Hightouch - What if you could power real-time product experiences with the analytical horsepower of a data warehouse?

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.

Tealium - Enterprise tag management and digital data distribution (D3P).

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