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Based on our record, Apache Airflow seems to be a lot more popular than SingleStore. While we know about 68 links to Apache Airflow, we've tracked only 3 mentions of SingleStore. 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.
SingleStoreDB (formerly MemSQL) (https://singlestore.com) | India | Full Time | Remote SingleStoreDB is a database focused on high performance and hybrid workloads (HTAP). Our customers include half of the top 10 US banks, 2 of the top 3 US telcos, and 12% of the Fortune 100. Our product is a distributed, relational database that handles both transactions and real-time analytics at scale. Querying is done through... - Source: Hacker News / over 1 year ago
Libschema now supports SingleStore in addition to PostgreSQL and MySQL. Source: over 1 year ago
SingleStore (formerly MemSQL) (https://singlestore.com) | Lisbon (Portugal), San Francisco, London (UK), Raleigh (NC), and Seattle | Full Time | Remote SingleStore is a database startup focused on high performance and hybrid workloads (HTAP). Our customers include half of the top 10 US banks, 2 of the top 3 US telcos, and 12% of the fortune 100. You can read all about our product here:... - Source: Hacker News / over 2 years ago
Instead of the custom orchestrator I used, a proper orchestration tool should replace it like Apache Airflow, Dagster, ..., etc. - Source: dev.to / 2 days ago
An integral part of an ML project is data acquisition and data transformation into the required format. This involves creating ETL (extract, transform, load) pipelines and running them periodically. Airflow is an open source platform that helps engineers create and manage complex data pipelines. Furthermore, the support for Python programming language makes it easy for ML teams to adopt Airflow. - Source: dev.to / 13 days ago
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / about 1 month ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 4 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 8 months ago
MapR Converged Data Platform - An enterprise-grade distributed data platform that you can trust to reliably store and process big and fast data.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Make.com - Tool for workflow automation (Former Integromat)