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Description
Easily expose and utilize APIs for legacy systems with minimal configuration, while simultaneously capturing and transmitting large datasets through real-time data interchange without the need for development. The integration landscape in cloud environments can be managed more effectively with straightforward and unified configurations, addressing a common challenge faced by organizations of any size when it comes to merging diverse systems and datasets. This integration hurdle often presents itself in various contexts, whether it involves on-premise applications, cloud-based solutions, or interoperability between different cloud services. The Adaptris Interlok™ Integration Framework serves as an event-driven architecture that empowers architects to swiftly link various applications, communication protocols, and data formats, resulting in a cohesive integrated solution. It provides effortless connections to hundreds of applications and supports a wide array of data standards and communication protocols. Additionally, the framework offers the capacity to cache data, which significantly diminishes the latency experienced during multiple requests to slower or distant backend systems, enhancing overall performance and efficiency. Ultimately, this framework streamlines the integration process, making it more accessible for organizations navigating complex technological landscapes.
Description
Facilitates seamless data exchange among components within microservice architectures. When utilized as a communication method for microservices, it not only streamlines integration but also enhances reliability and scalability. The system allows for reading and writing data in nearly real-time, while providing the flexibility to set data throughput and storage durations according to specific requirements. Users can finely configure resources for processing data streams, accommodating anything from small streams of 100 KB/s to more substantial ones at 100 MB/s. Additionally, Yandex Data Transfer enables the delivery of a single stream to various targets with distinct retention policies. Data is automatically replicated across multiple availability zones that are geographically distributed, ensuring redundancy and accessibility. After the initial setup, managing data streams can be done centrally through either the management console or the API, offering convenient oversight. It also supports continuous data collection from diverse sources, including website browsing histories and application logs, making it a versatile tool for real-time analytics. Overall, Yandex Data Streams stands out for its robust capabilities in handling various data ingestion needs across different platforms.
API Access
Has API
API Access
Has API
Integrations
Amazon Kinesis
Amazon S3
Apache Kafka
ClickHouse
Yandex Cloud
Yandex Data Transfer
Integrations
Amazon Kinesis
Amazon S3
Apache Kafka
ClickHouse
Yandex Cloud
Yandex Data Transfer
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.086400 per GB
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Adaptris
Founded
1998
Country
United Kingdom
Website
www.adaptris.com/interlok/
Vendor Details
Company Name
Yandex
Founded
1997
Country
Russia
Website
cloud.yandex.com/en/services/data-streams
Product Features
iPaaS
AI / Machine Learning
Cloud Data Integration
Dashboard
Data Quality Control
Data Security
Drag & Drop
Embedded iPaaS
Integration Management
Pre-Built Connectors
White Label
Workflow Management