Software Alternatives, Accelerators & Startups

ChartMogul VS Databricks

Compare ChartMogul VS Databricks and see what are their differences

ChartMogul logo ChartMogul

Master your recurring revenue. Advanced subscription analytics with one-click.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • ChartMogul Landing page
    Landing page //
    2023-10-18
  • Databricks Landing page
    Landing page //
    2023-09-14

ChartMogul

$ Details
-
Release Date
2014 January
Startup details
Country
Germany
State
Berlin
City
Berlin
Founder(s)
Nick Franklin
Employees
10 - 19

ChartMogul videos

Subscription Analytics from ChartMogul

More videos:

  • Review - Digital Marketing Tool for Business Growth [020] | ChartMogul- Subscription Analytics and Revenue
  • Review - HappyFox + ChartMogul Integration

Databricks videos

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Category Popularity

0-100% (relative to ChartMogul and Databricks)
Business Intelligence
100 100%
0% 0
Data Dashboard
14 14%
86% 86
SaaS
100 100%
0% 0
Database Tools
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 ChartMogul and Databricks

ChartMogul Reviews

5+ Cheap Alternatives & Competitors Of ChartMogul
Baremetrics can be considered as the diluted version of ChartMogul. Apart from the fact that Baremetrics provide payment analytics for Stripe and other payment processors (not PayPal). The one-click, zero configuration tool highlights insights on metrics like MRR, ARR, net revenue, refunds, charges, etc. Just like ChartMogul, it also showcases detailed customers profiles and...

Databricks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.
Source: lakefs.io
7 best Colab alternatives in 2023
Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it doesn't offer free GPU resources, it's an excellent tool for distributed data processing and big data analytics.
Source: deepnote.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.
Source: visual-flow.com
Top Big Data Tools For 2021
Now Azure Databricks achieves 50 times better performance thanks to a highly optimized version of Spark. Databricks also enables real-time co-authoring and automates versioning. Besides, it features runtimes optimized for machine learning that include many popular libraries, such as PyTorch, TensorFlow, Keras, etc.

Social recommendations and mentions

Based on our record, Databricks should be more popular than ChartMogul. It has been mentiond 17 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.

ChartMogul mentions (6)

  • Question on managing multiple stripe accounts
    You can go forChartMogul , a really great alternative to Baremetrics. We’ve been super happy about it. Source: over 2 years ago
  • Building Reach in Public
    Chartmogul → used for tracking signups, purchases, and churn so we can track the impact of our sales efforts. We chose Chartmogul because it’s easy to customize and get quick insights for SaaS companies. They have a free tier. Source: over 2 years ago
  • How do you track metrics for your business?
    Depends on the metrics you want to track. For revenue, we use Chartmogul (connected to Stripe) and for others metrics, a couple of simple custom dashboards. Source: almost 3 years ago
  • It’s f***ing ChartMogul’s founder! We built a 57 person, profitable and growing SaaS business with less than $4M in funding, AMA!
    👋👋👋 Hi everyone! 🤩 I'm the founder and CEO of ChartMogul, the leader in Subscription Analytics. ChartMogul helps thousands of SaaS businesses measure, understand and grow their recurring revenues by connecting directly to customers’ subscription billing systems (e.g. Stripe, Chargebee, PayPal, etc) and automatically calculating things like monthly recurring revenue (MRR), churn rate, average revenue per customer,... Source: almost 3 years ago
  • How good is ChartMogul???
    Everybody seems to love ChartMogul (and for good reason, it looks beautiful). What I want to know is how I can use it for fundraising? Source: almost 3 years ago
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Databricks mentions (17)

  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 2 years ago
  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 2 years ago
  • A Quick Start to Databricks on AWS
    Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
  • data science workspace/notebook solution thoughts?
    I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
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What are some alternatives?

When comparing ChartMogul and Databricks, you can also consider the following products

BareMetrics - SaaS Analytics for Stripe

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

ProfitWell - SaaS Metrics for Stripe. Absolutely Free.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Databox - Databox is Business Analytics platform that helps companies deliver insights and analytics anytime and anywhere.

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