Amazon EMR VS ChartMogul
Compare Amazon EMR VS ChartMogul and see what are their differences
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Amazon EMR
Google BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Databricks
Qubole
Snowflake
HortonWorks Data Platform
ChartMogul
BareMetrics
ProfitWell
Databox
Geckoboard
RevenueCat
Qonversion
RStudio
Amazon EMR ChartMogulBased on our record, Amazon EMR should be more popular than ChartMogul. It has been mentiond 10 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.
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: over 1 year ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: about 2 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 2 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
Check out https://aws.amazon.com/emr/. Source: about 2 years ago
You can go forChartMogul , a really great alternative to Baremetrics. We’ve been super happy about it. Source: over 2 years ago
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
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
👋👋👋 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
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
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
BareMetrics - SaaS Analytics for Stripe
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
ProfitWell - SaaS Metrics for Stripe. Absolutely Free.
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
Databox - Databox is Business Analytics platform that helps companies deliver insights and analytics anytime and anywhere.