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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Engaging applications captivate users while motivating developers to innovate. To meet the growing demands of the digital landscape, consider utilizing the DataStax Astra Streaming service platform. This cloud-native platform for messaging and event streaming is built on the robust foundation of Apache Pulsar. With Astra Streaming, developers can create streaming applications that leverage a multi-cloud, elastically scalable architecture. Powered by the advanced capabilities of Apache Pulsar, this platform offers a comprehensive solution that encompasses streaming, queuing, pub/sub, and stream processing. Astra Streaming serves as an ideal partner for Astra DB, enabling current users to construct real-time data pipelines seamlessly connected to their Astra DB instances. Additionally, the platform's flexibility allows for deployment across major public cloud providers, including AWS, GCP, and Azure, thereby preventing vendor lock-in. Ultimately, Astra Streaming empowers developers to harness the full potential of their data in real-time environments.

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

Google Cloud Platform Yes 
Amazon Web Services (AWS) Yes 
Apache Pulsar Yes 
CData Connect No 
DataBuck No 
DataStax Yes 
Google Cloud Bigtable No 
Google Cloud Confidential VMs No 
Google Cloud Datastream No 
Google Cloud Knowledge Catalog No 
Google Cloud Managed Service for Apache Airflow No 
Google Cloud Profiler No 
Microsoft Azure Yes 
New Relic No 
Orchestra No 
Pantomath No 
Protegrity No 
Sedai No 
Telmai No 
Ternary No 

Integrations

Google Cloud Platform Yes 
Amazon Web Services (AWS) No 
Apache Pulsar No 
CData Connect Yes 
DataBuck Yes 
DataStax No 
Google Cloud Bigtable Yes 
Google Cloud Confidential VMs Yes 
Google Cloud Datastream Yes 
Google Cloud Knowledge Catalog Yes 
Google Cloud Managed Service for Apache Airflow Yes 
Google Cloud Profiler Yes 
Microsoft Azure No 
New Relic Yes 
Orchestra Yes 
Pantomath Yes 
Protegrity Yes 
Sedai Yes 
Telmai Yes 
Ternary Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

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) Yes 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

DataStax

Country

United States

Website

www.datastax.com/products/astra-streaming

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/dataflow

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

Alternatives

Astra DB Reviews

Astra DB

DataStax
Apache Beam Reviews

Apache Beam

Apache Software Foundation
Apache Kafka Reviews

Apache Kafka

The Apache Software Foundation