Zoho CRM empowers small to large-sized organizations with a complete customer relationship lifecycle management solution for managing organization-wide Sales, Marketing, Customer Support & Service and Inventory Management in a single business system. Zoho has over 40 in-built app integrations and 500+ third-party extensions to choose from. More than 60 million users worldwide trust Zoho.
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.
Zoho CRM is recognized for its robust features and continuous updates, making it a strong contender in the customer relationship management space. Users appreciate its customization options, which allow businesses to tailor the CRM to their specific needs, enhancing usability and effectiveness.
Zoho CRM empowers SMBs & enterprises with a 360º customer relationship lifecycle management solution. Key features include contact management, sales funnels, pipeline management, workflow automation, AI-powered conversational assistant, task management, managing marketing campaigns, sales forecasting, customer support & service, inventory management, reporting & analytics, and seamlessly integrating with 500+ popular business apps in a single business system.
Based on our record, Redis seems to be a lot more popular than Zoho CRM. While we know about 217 links to Redis, we've tracked only 1 mention of Zoho CRM. 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.
Another option would be zoho.com/crm. We used this one at a much smaller firm that I worked at (5 attorneys, 3 paralegals, 1 secretary). Source: over 2 years ago
Valkey and Redis streams are data structures that act like append-only logs with some added features. Redisson PRO, the Valkey and Redis client for Java developers, improves on this concept with its Reliable Queue feature. - Source: dev.to / 3 days ago
Of course, these examples are just toys. A more proper use for asynchronous generators is handling things like reading files, accessing network services, and calling slow running things like AI models. So, I'm going to use an asynchronous generator to access a networked service. That service is Redis and we'll be using Node Redis and Redis Query Engine to find Bigfoot. - Source: dev.to / 17 days ago
Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / 17 days ago
Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards). - Source: dev.to / about 1 month ago
Redis® Cluster is a fully distributed implementation with automated sharding capabilities (horizontal scaling capabilities), designed for high performance and linear scaling up to 1000 nodes. . - Source: dev.to / about 2 months ago
Pipedrive - Sales pipeline software that gets you organized. Helps you focus on the right deals, so easy to use that salespeople just love it. Great for small teams.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Freshsales CRM - A full-fledged CRM for high-velocity sales teams.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Copper - Copper (formerly ProsperWorks) is easy-to-use customer relationship management for small businesses. Capture contacts and sales leads direct from Gmail with our simple CRM.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.