Palantir Foundry
Amazon SageMaker
Apache Zeppelin
Alteryx
GeoSpock
Cloud Dataprep
Databricks Unified Analytics Platform
Delta Lake
Amazon Kinesis Firehose
Analytics Canvas
Alteryx
Talend Data Preparation
Idea Generator
Wealthport
Data Scientist Workbench
Lavastorm Analytics
Palantir FoundryBased on our record, Amazon Kinesis Firehose seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
First, you may not know the Kinesis Data Firehose service. Here's the AWS definition: Amazon Kinesis Data Firehose is an Extract, Transform, and Load (ETL) service that captures, transforms, and reliably delivers streaming data to data lakes, data stores, and analytics services. (https://aws.amazon.com/kinesis/data-firehose/). - Source: dev.to / about 1 year ago
As you can see in the diagram, we are feeding all events from Event Bus via a catch-all rule into Kinesis Data Firehose. Firehose is a fully managed service that streams into specific destinations like Data Warehouses or Data Lakes. Unlike it's bigger brother of using Kinesis Data Streams directly, there are no setting up of shards and it's mostly configuration free. We are only defining a buffer interval which is... - Source: dev.to / over 1 year ago
When using EventBridge I always log all events to an S3 bucket for auditing, analytics and debugging purposes. A super easy method to do this is to create a Kinesis Data Firehose stream and create a rule that captures all events that points to the Firehose stream. The Firehose stream can then flush the events on S3 in an interval/size of choice based on configuration. - Source: dev.to / over 1 year ago
Have you looked at Kinesis Firehose? It was pretty much build for this use case although you will still need to see if you can define a partitioning scheme probably in combination with an S3 Select query to meet your query requirements. https://aws.amazon.com/kinesis/data-firehose/?nc=sn&loc=0. - Source: Hacker News / almost 2 years ago
Is continuous backup important ? e.g. If the stuff fails for one day and you lose that day's upload is that ok? Do you want it to push updates more frequently than once a day? If you want to continuously push updates then Kinesis Firehose might be worth looking into. Source: over 2 years ago
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
Analytics Canvas - Analytics Canvas is a data management platform with a specific focus on Google data tools, enabling self-serve data preparation and automation for those working with Analytics, Ads, Search Console, Sheets, BigQuery, Data Studio and more.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.
Talend Data Preparation - Talend Data Preparation combines intuitive self-service data preparation and data curation tools with data integration to accelerate data usage across the organization.
GeoSpock - GeoSpock is the platform for data lake management, providing a unified view of the data assets within an organization and making it easily accessible.
