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What is Lenses?

Enable individuals to effectively delve into and assess streaming data. By organizing, documenting, and sharing your data, you could increase productivity by as much as 95%. Once your data is in hand, you can develop applications designed for practical, real-world scenarios. Establish a data-centric security model to tackle the risks linked to open-source technologies, ensuring that data privacy remains a top priority. In addition, provide secure and user-friendly low-code data pipeline options that improve overall usability. Illuminate all hidden facets and deliver unparalleled transparency into your data and applications. Seamlessly integrate your data mesh and technology stack, which empowers you to confidently leverage open-source solutions in live production environments. Lenses has gained recognition as the leading product for real-time stream analytics, as confirmed by independent third-party assessments. With insights collected from our community and extensive engineering efforts, we have crafted features that enable you to focus on what truly adds value from your real-time data. Furthermore, you can deploy and manage SQL-based real-time applications effortlessly across any Kafka Connect or Kubernetes environment, including AWS EKS, simplifying the process of tapping into your data's potential. This approach not only streamlines operations but also opens the door to new avenues for innovation and growth in your organization. By embracing these strategies, you position yourself to thrive in an increasingly data-driven landscape.

What is Amazon Kinesis?

Seamlessly collect, manage, and analyze video and data streams in real time with ease. Amazon Kinesis streamlines the process of gathering, processing, and evaluating streaming data, empowering users to swiftly derive meaningful insights and react to new information without hesitation. Featuring essential capabilities, Amazon Kinesis offers a budget-friendly solution for managing streaming data at any scale, while allowing for the flexibility to choose the best tools suited to your application's specific requirements. You can leverage Amazon Kinesis to capture a variety of real-time data formats, such as video, audio, application logs, website clickstreams, and IoT telemetry data, for purposes ranging from machine learning to comprehensive analytics. This platform facilitates immediate processing and analysis of incoming data, removing the necessity to wait for full data acquisition before initiating the analysis phase. Additionally, Amazon Kinesis enables rapid ingestion, buffering, and processing of streaming data, allowing you to reveal insights in a matter of seconds or minutes, rather than enduring long waits of hours or days. The capacity to quickly respond to live data significantly improves decision-making and boosts operational efficiency across a multitude of sectors. Moreover, the integration of real-time data processing fosters innovation and adaptability, positioning organizations to thrive in an increasingly data-driven environment.

Media

Media

Integrations Supported

AWS App Mesh
Amazon Quantum Ledger Database (QLDB)
Apache Kafka
Datazoom
EMnify
Edge Delta
Hitachi Unified Compute RS Series
Logit.io
Materialize
Microsoft Teams
Observe
OpenMetadata
PagerDuty
Redis
Shaped
Sibros
Sprinkle
StreamFlux
Validio
Xeotek

Integrations Supported

AWS App Mesh
Amazon Quantum Ledger Database (QLDB)
Apache Kafka
Datazoom
EMnify
Edge Delta
Hitachi Unified Compute RS Series
Logit.io
Materialize
Microsoft Teams
Observe
OpenMetadata
PagerDuty
Redis
Shaped
Sibros
Sprinkle
StreamFlux
Validio
Xeotek

API Availability

Has API

API Availability

Has API

Pricing Information

$49 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Lenses.io

Date Founded

2016

Company Location

United Kingdom

Company Website

lenses.io

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/kinesis/

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

IT Infrastructure Monitoring

Alerts / Notifications
Application Monitoring
Bandwidth Monitoring
Capacity Planning
Configuration Change Management
Data Movement Monitoring
Health Monitoring
Multi-Platform Support
Performance Monitoring
Point-in-Time Visibility
Reporting / Analytics
Virtual Machine Monitoring

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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