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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Baidu Stream Computing (BSC) offers the ability to process real-time streaming data with minimal latency, impressive throughput, and high precision. It seamlessly integrates with Spark SQL, allowing for complex business logic to be executed via SQL statements, which enhances usability. Users benefit from comprehensive lifecycle management of their streaming computing tasks. Additionally, BSC deeply integrates with various Baidu AI Cloud storage solutions, such as Baidu Kafka, RDS, BOS, IOT Hub, Baidu ElasticSearch, TSDB, and SCS, serving as both upstream and downstream components in the stream computing ecosystem. Moreover, it provides robust job monitoring capabilities, enabling users to track performance indicators and establish alarm rules to ensure job security, thereby enhancing the overall reliability of the system. This level of integration and monitoring makes BSC a powerful tool for businesses looking to leverage real-time data processing effectively.

Description

Apache Flink serves as a powerful framework and distributed processing engine tailored for executing stateful computations on both unbounded and bounded data streams. It has been engineered to operate seamlessly across various cluster environments, delivering computations with impressive in-memory speed and scalability. Data of all types is generated as a continuous stream of events, encompassing credit card transactions, sensor data, machine logs, and user actions on websites or mobile apps. The capabilities of Apache Flink shine particularly when handling both unbounded and bounded data sets. Its precise management of time and state allows Flink’s runtime to support a wide range of applications operating on unbounded streams. For bounded streams, Flink employs specialized algorithms and data structures optimized for fixed-size data sets, ensuring remarkable performance. Furthermore, Flink is adept at integrating with all previously mentioned resource managers, enhancing its versatility in various computing environments. This makes Flink a valuable tool for developers seeking efficient and reliable stream processing solutions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Alibaba Log Service
Amazon Managed Service for Apache Flink
Apache Hudi
Apache Knox
Apache Mesos
Apache Spark
Apache Zeppelin
Arroyo
Deep.BI
Elasticsearch
Hue
IBM Event Automation
Netdata
ScaleOps
Scalytics Connect
StarTree
VeloDB
Ververica
Warp 10
lakeFS

Integrations

Alibaba Log Service
Amazon Managed Service for Apache Flink
Apache Hudi
Apache Knox
Apache Mesos
Apache Spark
Apache Zeppelin
Arroyo
Deep.BI
Elasticsearch
Hue
IBM Event Automation
Netdata
ScaleOps
Scalytics Connect
StarTree
VeloDB
Ververica
Warp 10
lakeFS

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Baidu AI Cloud

Founded

2000

Country

China

Website

intl.cloud.baidu.com/product/bsc.html

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

flink.apache.org

Product Features

Product Features

Streaming Analytics

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

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