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Learn MorePros of Presto
Pros of Steampipe
Pros of Presto
- Works directly on files in s3 (no ETL)18
- Open-source13
- Join multiple databases12
- Scalable10
- Gets ready in minutes7
- MPP6
Pros of Steampipe
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- No public GitHub repository available -
What is Presto?
Distributed SQL Query Engine for Big Data
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.
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What companies use Presto?
What companies use Steampipe?
What companies use Presto?
What companies use Steampipe?
See which teams inside your own company are using Presto or Steampipe.
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What tools integrate with Presto?
What tools integrate with Steampipe?
What tools integrate with Presto?
What tools integrate with Steampipe?
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What are some alternatives to Presto and Steampipe?
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.
Stan
A state-of-the-art platform for statistical modeling and high-performance statistical computation. Used for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.
Apache Impala
Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.
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.
Apache Drill
Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel.