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 Big Data Tools category of a tech stack.
AWS DataOps Development Kit is an open source tool with 259 GitHub stars and 20 GitHub forks. Here’s a link to AWS DataOps Development Kit's open source repository on GitHub
Who uses AWS DataOps Development Kit?
Developers
AWS DataOps Development Kit Integrations
AWS DataOps Development Kit's Features
- Open source development framework
- Build data workflows and modern data architecture
- Extensible
- Offers high-level abstractions
AWS DataOps Development Kit Alternatives & Comparisons
What are some alternatives to AWS DataOps Development Kit?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
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