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What is Oracle Cloud Infrastructure Streaming?

The Streaming service is a cutting-edge, serverless event streaming platform that operates in real-time and is fully compatible with Apache Kafka, catering specifically to the needs of developers and data scientists. This platform is seamlessly connected with Oracle Cloud Infrastructure (OCI), Database, GoldenGate, and Integration Cloud, ensuring a smooth user experience. Moreover, it comes with pre-built integrations for numerous third-party applications across a variety of sectors, including DevOps, databases, big data, and software as a service (SaaS). Data engineers can easily create and oversee large-scale big data pipelines without hassle. Oracle manages all facets of infrastructure and platform maintenance for event streaming, which includes provisioning resources, scaling operations, and implementing security updates. Additionally, the service supports consumer groups that efficiently handle state for thousands of consumers, simplifying the process for developers to build scalable applications. This holistic approach not only accelerates the development workflow but also significantly boosts operational efficiency, providing a robust solution for modern data challenges. With its user-friendly features and comprehensive management, the Streaming service empowers teams to innovate without the burden of infrastructure concerns.

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.

Media

Media

Integrations Supported

Apache Kafka
Datadog
Jira
Oracle Database
Oracle GoldenGate
Zendesk

Integrations Supported

Apache Kafka
Datadog
Amazon CloudWatch
Apache Cassandra
Cloudera
Confluent
Elasticsearch
GitLab
Okta
PagerDuty
Prometheus
Redis
Slack
Splunk Enterprise
Zoho Directory

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$49 per month

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/cloud-native/streaming/

Company Facts

Organization Name

Lenses.io

Date Founded

2016

Company Location

United Kingdom

Company Website

lenses.io

Categories and Features

Categories and Features

Data Governance

Not specified

Data Masking

Not specified

DataOps

Not specified

Streaming Analytics

Not specified

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