SaveMyLeads VS Apache Kafka

SaveMyLeads Reviews

1. Marie    

   Head of Marketing at Pricer24 | 5 months ago
   SML helps me not miss potential clients

   SaveMyLeads is a very useful and comfortable service. I have been using it for more than 4 months to transfer leads from Facebook to Discord. Data is not lost during the transfer and arrives on time—after filling out a lead form on the social network. Setting up the integration was easy. Moreover, the developers took care of creating a video tutorial that gives a step-by-step algorithm for setting up. The usability of the interface is also high level. Everything is accessible and understandable.

   👍 Pros:    Reliability of the service, excellent usability of the interface, ease of setup, no errors in data transfer

   👎 Cons:    I didn't notice any cons. everything suits me.
2. Anna    

   Business Development Representative | Marketing Assistant at SDH | 5 months ago
   SML simplifies order processing

   We use this connector to automatically process orders. We connected integrations for the SMS service, CRM and Slack channel. As a result, we received automatic SMS sending to new clients, automatic transfer of all necessary data to the CRM and Slack.

3. Mykhailo    

   Outreacher at AdmixGlobal | 5 months ago
   Good for automation

   We needed a solution to automate the transfer of contacts from Facebook to the GetResponse database. We didn’t want to bother with API integration, so we looked for a suitable no-code service. SaveMyLeads did not disappoint - everything was extremely simple, fast and accessible.

   🏁 Competitors: Zapier

Apache Kafka Reviews

SaveMyLeads mentions (0)

Apache Kafka mentions (120)

• Empowering Real-Time Data Pipelines: Leveraging Apache Kafka and Rudderstack

  In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / about 2 months ago

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 3 months ago

• How to Use Reductstore as a Data Sink for Kafka

  Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 3 months ago

• 🦿🛴Smarcity garbage reporting automation w/ ollama

  *Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 3 months ago

• How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide

  RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput. - Source: dev.to / 3 months ago