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Ratings and Reviews 0 Ratings
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What is Yandex Data Streams?
Enables efficient data interchange among various elements within microservice frameworks. When employed as a communication strategy for microservices, it not only simplifies integration processes but also boosts both reliability and scalability. This system facilitates almost instantaneous data reading and writing while allowing users to adjust data throughput and retention periods based on unique requirements. Users have the ability to meticulously tailor resources for processing data streams, which can range from small streams of 100 KB/s to larger ones reaching 100 MB/s. Moreover, Yandex Data Transfer supports the distribution of a single stream to multiple destinations, each with its own retention policies. The architecture guarantees that data is automatically replicated across numerous geographically diverse availability zones, providing both redundancy and easy access. After the setup phase, users can centrally manage data streams via the management console or API, ensuring streamlined oversight. The platform also accommodates ongoing data collection from a wide range of sources, such as browsing histories and application logs, which makes it an adaptable solution for real-time analytics. In summary, Yandex Data Streams excels in its ability to meet diverse data ingestion requirements across a variety of platforms, making it an essential tool for modern data-driven applications. Additionally, its capacity for real-time processing and seamless integration further solidifies its position as a leader in the field of data management solutions.
What is Apache Storm?
Apache Storm is a robust open-source framework designed for distributed real-time computations, enabling the reliable handling of endless streams of data, much like how Hadoop transformed the landscape of batch processing. This platform boasts a user-friendly interface, supports multiple programming languages, and offers an enjoyable user experience. Its wide-ranging applications encompass real-time analytics, ongoing computations, online machine learning, distributed remote procedure calls, and the processes of extraction, transformation, and loading (ETL). Notably, performance tests indicate that Apache Storm can achieve processing speeds exceeding one million tuples per second per node, highlighting its remarkable efficiency. Furthermore, the system is built to be both scalable and fault-tolerant, guaranteeing uninterrupted data processing while remaining easy to install and manage. Apache Storm also integrates smoothly with existing queuing systems and various database technologies, enhancing its versatility. Within a typical setup, data streams are managed and processed through a topology capable of complex operations, which facilitates the flexible repartitioning of data at different computation stages. For further insights, a detailed tutorial is accessible online, making it an invaluable resource for users. Consequently, Apache Storm stands out as an exceptional option for organizations eager to harness the power of real-time data processing capabilities effectively.
Integrations Supported
Amazon Kinesis
Apache Kafka
Activeeon ProActive
Akira AI
Amazon S3
Apache Knox
Apache Ranger
Azure HDInsight
ClickHouse
RabbitMQ
Integrations Supported
Amazon Kinesis
Apache Kafka
Activeeon ProActive
Akira AI
Amazon S3
Apache Knox
Apache Ranger
Azure HDInsight
ClickHouse
RabbitMQ
API Availability
Has API
API Availability
Has API
Pricing Information
$0.086400 per GB
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Yandex
Date Founded
1997
Company Location
Russia
Company Website
cloud.yandex.com/en/services/data-streams
Company Facts
Organization Name
Apache Software Foundation
Date Founded
1999
Company Location
United States
Company Website
storm.apache.org
Categories and Features
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates