This product hasn't been reviewed yet! Be the first to share your experience.
Leave a Review
MQ Manager Reviews (0)
G2 reviews are authentic and verified.
Here's how.
We strive to keep our reviews authentic.
G2 reviews are an important part of the buying process, and we understand the value they provide to both our customers and buyers. To ensure the value is retained, it's important to make certain that reviews are authentic and trustworthy, which is why G2 requires verified methods to write a review and validates the reviewer's identity before approving. G2 validates the reviewers identity with our moderation process that prevents inauthentic reviews, and we strive to collect reviews in a responsible and ethical manner.
There are not enough reviews of MQ Manager for G2 to provide buying insight. Below are some alternatives with more reviews:
1
MuleSoft Anypoint Platform
4.4
(713)
Anypoint Platform™ is a complete platform that lets companies realize business transformation through API-led connectivity. It is is a unified, flexible integration platform that solves the most challenging connectivity problems across SOA, SaaS and APIs.
2
IBM MQ
4.3
(174)
IBM® MQ, formerly WebSphere MQ, is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms. It uses message queues to exchange information and offers a single messaging solution for cloud, on premise, mobile and IoT environments. By connecting virtually everything, from a simple pair of applications to the most complex business environments, it improves responsiveness, controls costs, reduces risk and provides real-time insight from data. It is available in a standard edition, an advanced edition, as an appliance and in a z/OS version.
3
Apache Kafka
4.5
(126)
Apache Kafka is an open-source distributed event streaming platform developed by the Apache Software Foundation. It is designed to handle real-time data feeds with high throughput and low latency, making it ideal for building data pipelines, streaming analytics, and integrating data across various systems. Kafka enables organizations to publish, store, and process streams of records in a fault-tolerant and scalable manner, supporting mission-critical applications across diverse industries.
Key Features and Functionality:
- High Throughput and Low Latency: Kafka delivers messages at network-limited throughput with latencies as low as 2 milliseconds, ensuring efficient data processing.
- Scalability: It can scale production clusters up to thousands of brokers, handling trillions of messages per day and petabytes of data, while elastically expanding and contracting storage and processing capabilities.
- Durable Storage: Kafka stores streams of data safely in a distributed, durable, and fault-tolerant cluster, ensuring data integrity and availability.
- High Availability: The platform supports efficient stretching of clusters over availability zones and connects separate clusters across geographic regions, enhancing resilience.
- Stream Processing: Kafka provides built-in stream processing capabilities through the Kafka Streams API, allowing for operations like joins, aggregations, filters, and transformations with event-time processing and exactly-once semantics.
- Connectivity: With Kafka Connect, it integrates seamlessly with hundreds of event sources and sinks, including databases, messaging systems, and cloud storage services.
Primary Value and Solutions Provided:
Apache Kafka addresses the challenges of managing real-time data streams by offering a unified platform that combines messaging, storage, and stream processing. It enables organizations to:
- Build Real-Time Data Pipelines: Facilitate the continuous flow of data between systems, ensuring timely and reliable data delivery.
- Implement Streaming Analytics: Analyze and process data streams in real-time, allowing for immediate insights and actions.
- Ensure Data Integration: Seamlessly connect various data sources and sinks, promoting a cohesive data ecosystem.
- Support Mission-Critical Applications: Provide a robust and fault-tolerant infrastructure capable of handling high-volume and high-velocity data, essential for critical business operations.
By leveraging Kafka's capabilities, organizations can modernize their data architectures, enhance operational efficiency, and drive innovation through real-time data processing and analytics.
4
Azure Logic Apps
4.3
(102)
Azure Logic Apps is a cloud-based integration platform as a service (iPaaS) that enables organizations to automate and orchestrate workflows, integrating applications, data, systems, and services across enterprises or organizations. It provides a visual designer for building workflows without writing code, facilitating the creation of complex processes that connect disparate systems seamlessly.
Key Features and Functionality:
- Extensive Connector Library: Offers over 1,400 pre-built connectors for various services, including Salesforce, Office 365, SQL Server, and SAP, allowing easy integration with both cloud-based and on-premises applications.
- Visual Workflow Designer: Provides a drag-and-drop interface for designing workflows, enabling users to build and manage processes without extensive coding knowledge.
- Hybrid Connectivity: Supports integration across cloud and on-premises environments, ensuring secure and efficient data flow between systems.
- Scalability and Reliability: Built on Azure's robust infrastructure, Logic Apps ensures high availability and scalability to meet varying business demands.
- AI Integration: Facilitates the incorporation of AI capabilities into workflows through connectors like Azure OpenAI and Azure AI Search, enabling intelligent automation and decision-making processes.
Primary Value and Solutions Provided:
Azure Logic Apps addresses the challenge of integrating diverse systems and automating complex workflows without the need for extensive coding. By offering a comprehensive set of connectors and a user-friendly design interface, it empowers organizations to streamline operations, enhance productivity, and respond swiftly to changing business needs. The platform's scalability and hybrid connectivity ensure that businesses can build resilient and adaptable integration solutions, facilitating seamless communication between various applications and services.
5
Lobster Data Platform
4.6
(98)
Lobster is a no-code data integration platform and suite of ready-to-use data products that simplify how businesses connect systems, automate processes, and manage data across their operations. With drag-and-drop tools and pre-built connectors, users can integrate ERPs, CRMs, logistics platforms, and more—without writing code. Whether you’re streamlining e-invoicing, enhancing supply chain visibility, or replacing manual workflows, Lobster delivers speed, scalability, and compliance out of the box. Trusted by leading companies across Europe, Lobster empowers both IT and business teams to unlock real-time insights, reduce complexity, and accelerate digital transformation—fast.
6
meshIQ
4.6
(94)
meshIQ is the industry’s first observability and management platform for integration middleware.
7
Hookdeck
4.8
(71)
Hookdeck is a prebuilt webhook infrastructure that gives developers the tooling they need to monitor and troubleshoot all their inbound asynchronous events.
Once integrated, Hookdeck unlocks a suite of tools for developers to manage their webhooks – alerting, rate limiting, automatic retries, one-to-many delivery, payload transformations, local testing via the CLI, a robust API, and more – so developers can spend less time maintaining their event infrastructure and more time building the features their users love.
8
Ably Realtime
4.8
(67)
Ably is a realtime data delivery platform providing developers everything they need to create, deliver and manage complex projects. Ably solves the hardest parts so they don’t have to.
9
HiveMQ
4.5
(64)
HiveMQ provides the most trusted IoT data streaming platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone. It allows businesses to connect, stream, and govern their data in real-time across OT and IT systems for advanced analytics, predictive maintenance, and digital transformation.
10
IBM Cloud Pak for Integration
4.2
(49)
Set up the appropriate organizational models and governance practices to support agile integration, simplify the management of your integration architecture and reduce cost with the IBM Cloud Pak™ for Integration. Running on Red Hat® OpenShift®, the IBM Cloud Pak for Integration gives businesses complete choice and agility to deploy workloads on premises and on private and public clouds.
Discussions related to MQ Manager
Discussions for this product are not available at this time. Be the first one to Start a discussion
Pricing
Pricing details for this product isn’t currently available. Visit the vendor’s website to learn more.
Categories on G2
Explore More
What's the best PIM tool for service industry
Best biometric solutions for facial recognition login
Which low-code development platform is the best for enterprise solutions


