Yandex Data Streams Description
Simplifies data transfer between components in microservices architectures. When used as a microservice transport, it simplifies integration and increases reliability. It also improves scaling. Read and write data near real-time. Set the data throughput to your needs. You can configure the resources to process data streams in granular detail, from 100 KB/s up to 100 MB/s. Yandex Data Transfer allows you to send a single data stream to multiple destinations with different retention policies. Data is automatically replicated over multiple geographically dispersed availability zones. Once created, data streams can be managed centrally via the management console or API. Yandex Data Streams is able to collect data continuously from sources such as website browsing histories, system and application logs, or social media feeds. Yandex Data Streams can continuously collect data from sources like website browsing histories, logs of application, etc.
Yandex Data Streams Alternatives
Samza
Samza lets you build stateful applications that can process data in real time from multiple sources, including Apache Kafka. It has been battle-tested at scale and supports flexible deployment options, including running on YARN or as a standalone program. Samza offers high throughput and low latency to instantly analyze your data. With features like host-affinity and incremental checkpoints, Samza can scale to many terabytes in state. Samza is easy-to-use with flexible deployment options YARN, Kubernetes, or standalone. The ability to run the same code to process streaming and batch data. Integrates with multiple sources, including Kafka and HDFS, AWS Kinesis Azure Eventhubs, Azure Eventhubs K-V stores, ElasticSearch, AWS Kinesis, Kafka and ElasticSearch.
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Rayven
Rayven is a user-friendly SaaS platform that solves businesses' challenges with interoperability, real-time data, and app development - without the need to replace legacy systems, increase risk, or endure lengthy development times.
Combining iPaaS, Data, IoT, Workflow Automation, Analytics, BI, AI, App Development, and PaaS into one solution, Rayven makes system integration, real-time data processing, and custom app creation simple. It's designed to help you overcome complex business issues effortlessly.
With Rayven, you can:
- Connect any system, device, or data source
- Quickly create workflows and applications
- Add AI and automation, tailored to your needs, anywhere
Rayven is intuitive, fully compatible with any technology, and infinitely scalable. It optimises your existing tools, making real-time, AI-driven decision-making accessible to businesses of all sizes at an affordable price.
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Confluent
Apache Kafka®, with Confluent, has an infinite retention. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming allows you to innovate and win by being both highly-scalable and real-time. Ever wonder how your rideshare app analyses massive amounts of data from multiple sources in order to calculate real-time ETA. Wondering how your credit card company analyzes credit card transactions from all over the world and sends fraud notifications in real time? Event streaming is the answer. Microservices are the future. A persistent bridge to the cloud can enable your hybrid strategy. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. There are many other options.
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Apache Beam
This is the easiest way to perform batch and streaming data processing. For mission-critical production workloads, write once and run anywhere data processing. Beam can read your data from any supported source, whether it's on-prem and in the cloud. Beam executes your business logic in both batch and streaming scenarios. Beam converts the results of your data processing logic into the most popular data sinks. A single programming model that can be used for both streaming and batch use cases. This is a simplified version of the code for all members of your data and applications teams. Apache Beam is extensible. TensorFlow Extended, Apache Hop and other projects built on Apache Beam are examples of Apache Beam's extensibility. Execute pipelines in multiple execution environments (runners), allowing flexibility and avoiding lock-in. Open, community-based development and support are available to help you develop your application and meet your specific needs.
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Pricing
Pricing Starts At:
$0.086400 per GB
Free Trial:
Yes
Company Details
Company:
Yandex
Year Founded:
1997
Headquarters:
Russia
Website:
cloud.yandex.com/en/services/data-streams
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Product Details
Platforms
SaaS
Type of Training
Documentation
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24/7 Live Support
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