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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 Materialize?

Materialize is a cutting-edge reactive database that facilitates the incremental updating of views, making it easier for developers to engage with streaming data using familiar SQL syntax. This platform stands out due to its capability to directly interface with various external data sources without necessitating extensive pre-processing steps. Users can connect to live streaming sources like Kafka and Postgres databases, as well as utilize change data capture (CDC) mechanisms, while also having the option to access historical data from files or S3 storage. Materialize allows for the execution of queries, the performance of joins, and the transformation of diverse data sources through standard SQL, resulting in dynamically updated Materialized views. As new data flows in, queries remain active and are consistently refreshed, empowering developers to easily create real-time applications or data visualizations. Additionally, the process of building applications that leverage streaming data is simplified, often requiring minimal SQL code, which greatly boosts development efficiency. Ultimately, with Materialize, developers can dedicate their efforts to crafting innovative solutions instead of getting overwhelmed by intricate data management challenges, thus unlocking new possibilities in data-driven projects.

Media

Media

Integrations Supported

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

Integrations Supported

Amazon Kinesis
Amazon S3
Apache Kafka
DataClarity Unlimited Analytics
Debezium
Gravity Data
Hue
Orb
PostgreSQL
PubNub

API Availability

Has API

API Availability

Pricing Information

$0.086400 per GB
Free Trial Offered?

Pricing Information

$0.98 per hour
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Yandex

Date Founded

1997

Company Location

Russia

Company Website

cloud.yandex.com/en/services/data-streams

Company Facts

Organization Name

Materialize

Company Location

United States

Company Website

materialize.com

Categories and Features

Data Exchange

Not specified

Categories and Features

Data Warehouse

Not specified

Database

Not specified

Streaming Analytics

Not specified

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