Based on our record, Apache Kafka should be more popular than dataloader.io. It has been mentiond 120 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.
Love https://dataloader.io/ Free for up to 10k records a month! Source: 10 months ago
I still can't believe what horse shit Data Loader is. They even own a much better product with dataloader.io but won't make it free even though data movement is integral to a useful database. Source: about 1 year ago
Check to make sure you're actually on the once a month limit. Our org we can do weekly data exports. You can also export your objects by reports, dataloader.io (with limits), and some other tools. Depending on the data's final destination, it may be worth keeping some Salesforce licenses and seeing if you can transfer/sync data via APIs or middleware tools rather than do it manually. Talk to the vendor of whatever... Source: over 1 year ago
Does either dataloader.io or data import wizard allow for custom logic? I'm matching the contact by full name and crd#. The logic I want to introduce is where contact's field: "platform" = envestnet. Or should I be thinking about creating a flow that will handle the logic to match the contacts from my spreadsheet? Source: over 1 year ago
I think dataloader.io and def dataimporter.io offer name match. Up to 10k (or 20k for the latter) records/mo free. Source: almost 2 years ago
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
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
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
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 3 months ago
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 / 4 months ago
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