AWS DataOps Development Kit
What is AWS DataOps Development Kit?
It is an open source development framework for customers that build data workflows and modern data architecture on AWS. It offers high-level abstractions allowing you to build pipelines that manage data flows on AWS, driven by DevOps best practices.
AWS DataOps Development Kit is a tool in the Databases category of a tech stack.
Key Features
Open source development frameworkBuild data workflows and modern data architectureExtensibleOffers high-level abstractions
AWS DataOps Development Kit Pros & Cons
Pros of AWS DataOps Development Kit
No pros listed yet.
Cons of AWS DataOps Development Kit
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AWS DataOps Development Kit Alternatives & Comparisons
What are some alternatives to AWS DataOps Development Kit?
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.
