Apache ActiveMQ
RabbitMQ
IBM MQ
ChannelGrabber
Webgility
Apache Kafka
CrazyLister
Multiorders
ORM Technologies
PipeChecker by Little Post Manager
B2B Lead Generation
Clari
Future Processing
GainTrace
Leadpipe
InsightSquared
ORM Technologies is a predictive revenue analytics platform for B2B SaaS companies. The platform brings sales, marketing, and customer data into one model and applies machine learning, AI, and operations research to answer the revenue questions most teams can't: what will this pipeline actually produce, where is risk building before it shows up in the forecast, and what actions will change the outcome. ORM works with CROs, CMOs, CFOs, and RevOps leaders across sales forecasting, pipeline analytics, marketing attribution, territory design, and GTM planning, moving companies beyond reporting into a real system for how they make revenue decisions.
Apache ActiveMQ ORM TechnologiesApache ActiveMQ is recommended for enterprises looking for a reliable and scalable message broker, developers needing rich messaging functionality, and organizations that require robust support for various messaging protocols, including JMS, AMQP, STOMP, and MQTT. It is particularly well-suited for applications that need to distribute messages between different applications, languages, and platforms.
ORM Technologies's answer:
B2B SaaS sales leaders, marketing executives, and revenue operations teams at companies between $100M and $1B ARR where forecast accuracy has board-level consequences.
ORM Technologies's answer:
Trend Micro Zix (now OpenText)
ORM Technologies's answer:
ORM is a managed prescriptive revenue analytics platform โ not just a dashboard. A dedicated team of data scientists builds custom mathematical models on your CRM data and delivers specific, prioritized actions to close the gap between forecast and target. While most tools stop at showing you what happened, ORM tells you exactly what to do next: which deals to accelerate, where to reallocate reps, and how to shift marketing budget โ with expected revenue impact for each action. Forecast accuracy runs 85โ95%, verified across their client base.
ORM Technologies's answer:
Platforms like Clari and Gong provide pipeline visibility and conversation intelligence, but neither delivers prescriptive analytics. They won't tell you "shift $400K from channel A to channel B, reassign one SDR from enterprise to mid-market, and here's the revenue impact." ORM does. It also handles messy, siloed CRM data across multiple instances without forcing a painful migration โ it normalizes everything into a single source of truth. And unlike self-serve tools, ORM acts as an extension of your team, meeting bi-weekly to interpret data, flag anomalies, and guide resource planning.
ORM Technologies's answer:
Founded in 2011 in Dallas, TX by John Ryan and Pete Furseth. John brings 30+ years as a senior executive in high-growth tech companies โ he's been CEO/President of two public companies that both achieved 100%+ annual revenue growth. He holds a Bachelor of Mathematics from the University of Waterloo, an MS in Engineering Management from SMU, and is a Chartered Accountant. ORM was built on the belief that sales and marketing leaders shouldn't just get reports โ they should get specific, math-driven actions to hit their targets.
ORM Technologies's answer:
Cloud-based platform hosted on AWS/Azure, combining machine learning, statistical forecasting, mathematical optimization, and large language models to deliver explainable, actionable, and conversational analytics. Integrates natively with CRM platforms (Salesforce, HubSpot), marketing automation systems, and ERP instances. SOC 2 Type 2 certified. Version control via Git.
Based on our record, Apache ActiveMQ seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Before Kafka, traditional message queues like RabbitMQ and ActiveMQ were widely used, but they had limitations in handling massive, high-throughput real-time data streams. - Source: dev.to / over 1 year ago
Consume open-source queuing services โ customers can deploy message brokers such as ActiveMQ or RabbitMQ, to develop asynchronous applications, and when moving to the public cloud, use the cloud providers managed services alternatives. - Source: dev.to / over 1 year ago
Apache ActiveMQ is an open-source Java-based message queue that can be accessed by clients written in Javascript, C, C++, Python and .NET. There are two versions of ActiveMQ, the existing โclassicโ version and the next generation โArtemisโ version, which is currently being worked on. - Source: dev.to / about 3 years ago
For real-time streaming, we have other frameworks and tools like Apache Kafka, ActiveMQ, and AWS Kinesis. - Source: dev.to / over 3 years ago
The back-end is designed as a set of microservices communicating through a message broker, ActiveMQ, with a custom configuration to support delayed delivery and other features. - Source: dev.to / about 4 years ago
RabbitMQ - RabbitMQ is an open source message broker software.
PipeChecker by Little Post Manager - Brutally honest sales pipeline review
IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.
B2B Lead Generation - Discover how one B2B company got a 5,100% ROI from a $1m online marketing campaign, and how another company built a $1.3 billion pipeline.
ChannelGrabber - ChannelGrabber is omnichannel eCommerce software for product content optimization, listings, inventory, order, shipping, invoice and message management. Integrates with eBay, Amazon, Shopify, and more.
Clari - Clari is a predictive analytics platform for sales people.