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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 Azure Data Explorer?

Azure Data Explorer offers a swift and comprehensive data analytics solution designed for real-time analysis of vast data streams originating from various sources such as websites, applications, and IoT devices. You can pose questions and conduct iterative data analyses on the fly, enhancing products and customer experiences, overseeing device performance, optimizing operations, and ultimately boosting profitability. This platform enables you to swiftly detect patterns, anomalies, and trends within your data. Discovering answers to your inquiries becomes a seamless process as you delve into new subjects. With a cost-effective structure, you can execute an unlimited number of queries without hesitation. Efficiently uncover new opportunities within your data, all while utilizing a fully managed and user-friendly analytics service that allows you to concentrate on deriving insights rather than managing infrastructure. The ability to quickly adapt to dynamic and rapidly changing data environments is a key feature of Azure Data Explorer, making it a vital tool for simplifying analytics across all forms of streaming data. This capability not only enhances decision-making but also empowers organizations to stay ahead in an increasingly data-driven landscape.

Media

Media

Integrations Supported

Amazon CloudWatch
Amazon MSK
Apache Cassandra
Azure Marketplace
Azure Time Series Insights
Blink
Cloudera
Confluent
Datadog
Elasticsearch
GitHub
GitLab
Kubernetes
Microsoft Azure
Microsoft Teams
Okta
PagerDuty
Prometheus
Splunk Enterprise
Zoho Directory

Integrations Supported

Amazon CloudWatch
Amazon MSK
Apache Cassandra
Azure Marketplace
Azure Time Series Insights
Blink
Cloudera
Confluent
Datadog
Elasticsearch
GitHub
GitLab
Kubernetes
Microsoft Azure
Microsoft Teams
Okta
PagerDuty
Prometheus
Splunk Enterprise
Zoho Directory

API Availability

Has API

API Availability

Has API

Pricing Information

$49 per month
Free Trial Offered?
Free Version

Pricing Information

$0.11 per hour
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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/data-explorer/

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

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Streaming Analytics

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

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