Serra

What is Serra?

It is an object-oriented ETL framework that allows developers to write PySpark jobs easily—think end-to-end dbt with the benefits of object-oriented Spark.

Serra is a tool in the Databases category of a tech stack.

Key Features

Object-oriented ETL frameworkAllows developers to write PySpark jobs easily

Serra Pros & Cons

Pros of Serra

No pros listed yet.

Cons of Serra

No cons listed yet.

Serra Integrations

Docker, Python, PySpark, Databricks are some of the popular tools that integrate with Serra. Here's a list of all 4 tools that integrate with Serra.

Serra Alternatives & Comparisons

What are some alternatives to Serra?

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.

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

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.

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.