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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

A streaming database is specifically designed to efficiently ingest, store, process, and analyze large volumes of data streams. This advanced data infrastructure integrates messaging, stream processing, and storage to enable real-time value extraction from your data. It continuously handles vast amounts of data generated by diverse sources, including sensors from IoT devices. Data streams are securely stored in a dedicated distributed streaming data storage cluster that can manage millions of streams. By subscribing to topics in HStreamDB, users can access and consume data streams in real-time at speeds comparable to Kafka. The system also allows for permanent storage of data streams, enabling users to replay and analyze them whenever needed. With a familiar SQL syntax, you can process these data streams based on event-time, similar to querying data in a traditional relational database. This functionality enables users to filter, transform, aggregate, and even join multiple streams seamlessly, enhancing the overall data analysis experience. Ultimately, the integration of these features ensures that organizations can leverage their data effectively and make timely decisions.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Snowflake Yes 
AWS IoT Yes 
AWS Network Firewall Yes 
Amazon CloudWatch Yes 
Amazon Kinesis Yes 
Amazon MSK Yes 
Amazon Redshift Yes 
Amazon Simple Notification Service (SNS) Yes 
Amazon Web Services (AWS) Yes 
Apache Iceberg Yes 
Apache Parquet Yes 
Apache Spark No 
Azure Databricks No 
Doctor Droid Yes 
Oracle Fusion Cloud ERP No 
Orchestra Yes 
Presto No 
PyTorch No 
SAP ERP No 
Splunk Cloud Platform Yes 

Integrations

Snowflake Yes 
AWS IoT No 
AWS Network Firewall No 
Amazon CloudWatch No 
Amazon Kinesis No 
Amazon MSK No 
Amazon Redshift No 
Amazon Simple Notification Service (SNS) No 
Amazon Web Services (AWS) No 
Apache Iceberg No 
Apache Parquet No 
Apache Spark Yes 
Azure Databricks Yes 
Doctor Droid No 
Oracle Fusion Cloud ERP Yes 
Orchestra No 
Presto Yes 
PyTorch Yes 
SAP ERP Yes 
Splunk Cloud Platform No 

Pricing Details

$0.075 per month
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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

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

EMQ

Founded

2013

Country

United States

Website

hstream.io

Product Features

Product Features

Database

Backup and Recovery No 
Creation / Development No 
Data Migration No 
Data Replication No 
Data Search No 
Data Security No 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries No 
Relational Interface No 
Virtualization No 

Alternatives

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