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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 Condense?

Condense, a robust real-time data streaming solution by Zeliot, combines fully managed Apache Kafka with all essential components needed for the seamless creation and operation of event-driven applications. This unified platform eliminates the complexities of integrating various tools by offering managed Kafka clusters, customizable transformations, deployment pipelines, and monitoring features, all securely hosted within a selected cloud environment like AWS, Azure, or GCP to maintain data protection. Moreover, the platform incorporates Vapr, an autonomous AI supervisor that efficiently oversees specialized agents for tasks related to Kafka, Kubernetes, Grafana, and coding, thereby significantly alleviating the operational demands of maintaining streaming infrastructure. Demonstrated in high-pressure production environments, Condense supports a wide range of industries—including connected vehicle platforms, automotive OEM telematics, electric vehicle fleets, logistics, travel and hospitality, healthcare, and fintech—processing billions of events each day while proving its reliability and efficiency across varied applications. The platform's capacity to streamline event-driven workflows while prioritizing security makes it an essential tool for organizations looking to effectively leverage real-time data. By integrating advanced technology and user-friendly features, Condense positions itself as a leader in the data streaming space, catering to the growing needs of businesses in a data-driven world.

Media

Media

No images available

Integrations Supported

Amazon Kinesis
Amazon S3
Apache Kafka
ClickHouse
Yandex Cloud
Yandex Data Transfer

Integrations Supported

Amazon Kinesis
Amazon S3
Apache Kafka
ClickHouse
Yandex Cloud
Yandex Data Transfer

API Availability

Has API

API Availability

Has API

Pricing Information

$0.086400 per GB
Free Version
Free Trial Offered?

Pricing Information

$40/month
Free Version
Free Trial Offered?

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

Zeliot

Date Founded

2018

Company Location

India

Company Website

www.zeliot.in

Categories and Features

Categories and Features

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