NSQ
RabbitMQ
ZeroMQ
Apache ActiveMQ
NATS
Apache Kafka
Apache Pulsar
nanomsg
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.
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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, NSQ seems to be more popular. It has been mentiond 8 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.
Https://nsq.io/ is also very reliable, stable, lightweight, and easy to use. - Source: Hacker News / almost 2 years ago
(G)NATS can do millions of messages per second and is the right tool for the job (either that or NSQ). Redis isn't even the fastest Redis protocol implementation, KeyDB significantly outperforms it. Source: over 3 years ago
Bit.ly's NSQ is also an excellent message queue option. Source: over 3 years ago
Queue consumers are interesting because there are many solutions for them, from using Redis and persisting the data in a data store - but for fast and scalable the approach I would take is something like SQS (as I advocate AWS even free tier) or NSQ for managing your own distributed producers and consumers. Source: almost 4 years ago
Distrubition server engine ( for example websocket server multi ws gateway and worker pool,nsq.io realtime message queue and so on). Source: about 4 years ago
RabbitMQ - RabbitMQ is an open source message broker software.
PipeChecker by Little Post Manager - Brutally honest sales pipeline review
ZeroMQ - ZeroMQ is a high-performance asynchronous messaging library.
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.
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
Clari - Clari is a predictive analytics platform for sales people.