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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Effortlessly capture, modify, and transfer streaming data in real time. You can create a delivery stream, choose your desired destination, and begin streaming data with minimal effort. The system automatically provisions and scales necessary compute, memory, and network resources without the need for continuous management. You can convert raw streaming data into various formats such as Apache Parquet and dynamically partition it without the hassle of developing your processing pipelines. Amazon Data Firehose is the most straightforward method to obtain, transform, and dispatch data streams in mere seconds to data lakes, data warehouses, and analytics platforms. To utilize Amazon Data Firehose, simply establish a stream by specifying the source, destination, and any transformations needed. The service continuously processes your data stream, automatically adjusts its scale according to the data volume, and ensures delivery within seconds. You can either choose a source for your data stream or utilize the Firehose Direct PUT API to write data directly. This streamlined approach allows for greater efficiency and flexibility in handling data streams.

Description

Data processing that integrates both streaming and batch operations while being serverless, efficient, and budget-friendly. It offers a fully managed service for data processing, ensuring seamless automation in the provisioning and administration of resources. With horizontal autoscaling capabilities, worker resources can be adjusted dynamically to enhance overall resource efficiency. The innovation is driven by the open-source community, particularly through the Apache Beam SDK. This platform guarantees reliable and consistent processing with exactly-once semantics. Dataflow accelerates the development of streaming data pipelines, significantly reducing data latency in the process. By adopting a serverless model, teams can devote their efforts to programming rather than the complexities of managing server clusters, effectively eliminating the operational burdens typically associated with data engineering tasks. Additionally, Dataflow’s automated resource management not only minimizes latency but also optimizes utilization, ensuring that teams can operate with maximum efficiency. Furthermore, this approach promotes a collaborative environment where developers can focus on building robust applications without the distraction of underlying infrastructure concerns.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Orchestra Yes 
Amazon CloudWatch Yes 
Amazon MSK Yes 
Amazon OpenSearch Service Yes 
Amazon Redshift Yes 
Amazon Simple Notification Service (SNS) Yes 
Amazon Web Services (AWS) Yes 
Apache Iceberg Yes 
CData Connect No 
Doctor Droid Yes 
Google Cloud Bigtable No 
Google Cloud Confidential VMs No 
Google Cloud Knowledge Catalog No 
Google Cloud Managed Service for Apache Airflow No 
Google Cloud Profiler No 
Protegrity No 
Sedai No 
Snowflake Yes 
Splunk Cloud Platform Yes 
Telmai No 

Integrations

Orchestra Yes 
Amazon CloudWatch No 
Amazon MSK No 
Amazon OpenSearch Service No 
Amazon Redshift No 
Amazon Simple Notification Service (SNS) No 
Amazon Web Services (AWS) No 
Apache Iceberg No 
CData Connect Yes 
Doctor Droid No 
Google Cloud Bigtable Yes 
Google Cloud Confidential VMs Yes 
Google Cloud Knowledge Catalog Yes 
Google Cloud Managed Service for Apache Airflow Yes 
Google Cloud Profiler Yes 
Protegrity Yes 
Sedai Yes 
Snowflake No 
Splunk Cloud Platform No 
Telmai Yes 

Pricing Details

$0.075 per month
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/firehose/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/dataflow

Product Features

Product Features

Streaming Analytics

Data Enrichment Yes 
Data Wrangling / Data Prep Yes 
Multiple Data Source Support Yes 
Process Automation Yes 
Real-time Analysis / Reporting Yes 
Visualization Dashboards Yes 

Alternatives

Firehose Reviews

Firehose

Ahrefs
Apache Beam Reviews

Apache Beam

Apache Software Foundation
Apache Kafka Reviews

Apache Kafka

The Apache Software Foundation