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What is iGrant.io?

iGrant.io acts as a platform that enables the consensual sharing of data, providing businesses with access to relevant information while ensuring compliance with regulatory requirements. Utilizing a blend of centralized and decentralized technologies, it helps both private and public entities unlock the potential of personal data. Each exchange of personal data is secured by a signed data agreement, which guarantees that the information remains reliable, unchangeable, and subject to auditing. Our approach is crafted to ensure effective adherence to personal data regulations. By allowing individuals to manage, utilize, and share their data, we foster the trust that is crucial for building enduring relationships with customers. In addition, we navigate shifting data regulations, freeing you to focus on your core business goals. The platform creates a distinctive opportunity for real-time interaction with users, improving the overall quality of the data obtained. This interaction not only enhances transparency between your organization and its users but also encourages them to share their personal information with assurance, resulting in a more responsible and ethical data landscape. Ultimately, our commitment to privacy and transparency helps create a more informed and engaged user base.

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.

Media

Media

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

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.086400 per GB
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

iGrant.io

Date Founded

2017

Company Location

Sweden

Company Website

igrant.io

Company Facts

Organization Name

Yandex

Date Founded

1997

Company Location

Russia

Company Website

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

Categories and Features

Categories and Features

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