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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 242 GitHub stars and 61 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 Dreamdata.io, data-stack, and Data Warehouse.

7 developers on StackShare have stated that they use Singer.

Singer Integrations

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.

Why developers like Singer?

Here’s a list of reasons why companies and developers use Singer
Top Reasons
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Singer Alternatives & Comparisons

What are some alternatives to Singer?
Apache Spark
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.
Amazon Athena
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.
Apache Flink
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.
Apache Hive
Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
See all alternatives

Singer's Followers
14 developers follow Singer to keep up with related blogs and decisions.
Marko Peteri
Edgar Ramírez
Vuong Huynh
Stephan Durry
Kelsey Halkyer