What is Steampipe?
The open-source SQL interface to your favorite cloud APIs. Select * from AWS, Azure, GCP, Github, Slack, and more. It exposes APIs and services as a high-performance relational database, giving you the ability to write SQL-based queries and controls to explore, assess and report on dynamic data.
Steampipe is a tool in the Big Data Tools category of a tech stack.
Steampipe is an open source tool with GitHub stars and GitHub forks. Here’s a link to Steampipe's open source repository on GitHub
GitHub, Slack, Microsoft Azure, Google Cloud Platform, and Zendesk are some of the popular tools that integrate with Steampipe. Here's a list of all 5 tools that integrate with Steampipe.
- Painlessly join live cloud configuration data with internal or external data sets to create new insights
- The cloud is a live database
- Get SQL superpowers in < 60 seconds
Steampipe Alternatives & Comparisons
What are some alternatives to Steampipe?
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.
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