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StreamSets vs Scheduler API: What are the differences?
What is StreamSets? Where DevOps Meets Data Integration. The industry's first data operations platform for full life-cycle management of data in motion.
What is Scheduler API? An API for scheduling queue messages. It is a simple API to delay SQS messages. Call our APIs and we'll publish your messages when you need them.
StreamSets and Scheduler API can be primarily classified as "Message Queue" tools.
Some of the features offered by StreamSets are:
- Build Batch & Streaming Pipelines in Hours
- Map and Monitor Runtime Performance
- Protect Sensitive Data as it Arrives
On the other hand, Scheduler API provides the following key features:
- scheduling
- cancelling scheduled SQS messages
- changing the delay for already scheduled messages
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Cons of StreamSets
Cons of Scheduler API
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Cons of StreamSets
- No user community2
- Crashes1
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What is Scheduler API?
It is a simple API to delay SQS messages. Call our APIs and we'll publish your messages when you need them.
What is StreamSets?
An end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps.
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Jobs that mention Scheduler API and StreamSets as a desired skillset
What companies use Scheduler API?
What companies use StreamSets?
What companies use Scheduler API?
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What tools integrate with Scheduler API?
What tools integrate with StreamSets?
What tools integrate with Scheduler API?
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What are some alternatives to Scheduler API and StreamSets?
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