Matillion vs Supermetrics.com
Overview
🔥 Trending in Databases on StackShare
Detailed Comparison
It is a modern, browser-based UI, with powerful, push-down ETL/ELT functionality. With a fast setup, you are up and running in minutes. | It collects all your data in one secure place and makes it analysis-ready for all your reporting needs. Send your marketing data to a dashboard (Data Studio), spreadsheet (Sheets, Excel), or data warehouse (Google, Microsoft, Amazon, Snowflake, etc.) |
Edit, Transform and Load Data intuitively;
Load Data from Dozens of Sources;
50% reduction in ETL development and maintenance effort ;
Rich orchestration environment;
Work as a team;
Cheap;
Billing via AWS. | Quickly bring any metrics and dimensions from your favorite marketing platforms into your go-to reporting, data visualization, data warehousing, or BI tool. No sampling. No nonsense. Just clean data;
Once you have your data where you want it, you can start organizing and filtering it immediately. Dive into your numbers to figure out what is and isn’t working — and then get straight into optimization;
When you’ve built your report or dashboard, you can eliminate hours of manual work by scheduling data transfers and automating your marketing reporting |
Statistics | |
GitHub Stars 0 | GitHub Stars - |
GitHub Forks 0 | GitHub Forks - |
Stacks 51 | Stacks 3 |
Followers 71 | Followers 3 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Matillion, Supermetrics.com?
Google BigQuery
Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.
Amazon Redshift
It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
Qubole
Qubole is a cloud based service that makes big data easy for analysts and data engineers.
Amazon EMR
It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
Altiscale
we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.
Snowflake
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
Stitch
Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.
Azure Synapse
It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
Dremio
Dremio—the data lake engine, operationalizes your data lake storage and speeds your analytics processes with a high-performance and high-efficiency query engine while also democratizing data access for data scientists and analysts.
Cloudera Enterprise
Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts.
