What is Singer?
Singer powers data extraction and consolidation for all of your organization’s tools: advertising platforms, web analytics, payment processors, email service providers, marketing automation, databases, and more.
Singer is a tool in the Big Data Tools category of a tech stack.
Singer is an open source tool with 381 GitHub stars and 105 GitHub forks. Here’s a link to Singer's open source repository on GitHub
Who uses Singer?
5 companies reportedly use Singer in their tech stacks, including Mind Gym, data-stack, and Data Warehouse.
13 developers on StackShare have stated that they use Singer.
GitLab, HubSpot, Marketo, Braintree, and FreshDesk are some of the popular tools that integrate with Singer. Here's a list of all 12 tools that integrate with Singer.
Pros of Singer
Multiple inputs "taps"
Sep 28 2017 at 4:58AM
Singer Alternatives & Comparisons
What are some alternatives to Singer?
See all alternatives
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.