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Slurp Data Services Platform VS Apache Kafka

Compare Slurp Data Services Platform VS Apache Kafka and see what are their differences

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Slurp Data Services Platform logo Slurp Data Services Platform

The easy data services platform for Windows, Unix or the Cloud. The code-free, agile, one-stop solution for data services. An ETL tool (Extract, Transform and Load) but with streaming capabilities.

Apache Kafka logo Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
  • Slurp Data Services Platform Landing page
    Landing page //
    2022-05-23

Create, test and deploy services in MINUTES rather than days or weeks. Coding skills NOT required (done via GUI). Deciding on any software frameworks NOT required (has native support for XML, JSON, SOAP, SQL etc). Deciding on any additional software NOT required (integrated web and OAuth2 servers). STUNNING performance due to ultra-efficient runtime and support for Java Virtual Threading. Create, test, debug, deploy across mixed Windows/ Unix/ Cloud. FREE download for unlimited users, a licence is only required to run production services.

  • Apache Kafka Landing page
    Landing page //
    2022-10-01

Slurp Data Services Platform

Website
slurpdata.com
Pricing URL
Official Slurp Data Services Platform Pricing
$ Details
freemium £1000.0 / Annually (Single server, unlimited users, bulk licensing options available)
Platforms
Windows Linux Mac OSX Cloud
Release Date
2022 May
Edit details

Apache Kafka

Website
kafka.apache.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

Slurp Data Services Platform features and specs

  • Integration APIs: Yes
  • Integrations: Yes
  • No Coding Skills Required: Yes
  • No code required: Yes
  • Rest API Integration: Yes
  • RESTful API: yes
  • Web App: Yes
  • Free Trial: Yes
  • Drag & Drop Interface: Yes
  • Easy to use: Yes
  • Scheduling: Yes
  • User Permission Management: Yes

Apache Kafka features and specs

No features have been listed yet.

Slurp Data Services Platform videos

+ Add

Service Designer (best viewed with resolution at least 720p)

Apache Kafka videos

+ Add

Apache Kafka Tutorial | What is Apache Kafka? | Kafka Tutorial for Beginners | Edureka

More videos:

  • Review - Apache Kafka - Getting Started - Kafka Multi-node Cluster - Review Properties
  • Review - 4. Apache Kafka Fundamentals | Confluent Fundamentals for Apache Kafka®
  • Review - Apache Kafka in 6 minutes
  • Review - Apache Kafka Explained (Comprehensive Overview)
  • Review - 2. Motivations and Customer Use Cases | Apache Kafka Fundamentals

Category Popularity

0-100% (relative to Slurp Data Services Platform and Apache Kafka)

Slurp Data Services Platform

Apache Kafka

Data Integration
5 5%
Data Integration
95% 95
Games
100 100%
Games
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Gaming Community
100 100%
Gaming Community
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Slurp Data Services Platform and Apache Kafka

Slurp Data Services Platform Reviews

We have no reviews of Slurp Data Services Platform yet.
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Apache Kafka Reviews

Best message queue for cloud-native apps
If you take the time to sort out the history of message queues, you will find a very interesting phenomenon. Most of the currently popular message queues were born around 2010. For example, Apache Kafka was born at LinkedIn in 2010, Derek Collison developed Nats in 2010, and Apache Pulsar was born at Yahoo in 2012. What is the reason for this?
Source: docs.vanus.ai
Are Free, Open-Source Message Queues Right For You?
Apache Kafka is a highly scalable and robust messaging queue system designed by LinkedIn and donated to the Apache Software Foundation. It's ideal for real-time data streaming and processing, providing high throughput for publishing and subscribing to records or messages. Kafka is typically used in scenarios that require real-time analytics and monitoring, IoT applications,...
Source: blog.iron.io
10 Best Open Source ETL Tools for Data Integration
It is difficult to anticipate the exact demand for open-source tools in 2023 because it depends on various factors and emerging trends. However, open-source solutions such as Kubernetes for container orchestration, TensorFlow for machine learning, Apache Kafka for real-time data streaming, and Prometheus for monitoring and observability are expected to grow in prominence in...
Source: testsigma.com
11 Best FREE Open-Source ETL Tools in 2024
Apache Kafka is an Open-Source Data Streaming Tool written in Scala and Java. It publishes and subscribes to a stream of records in a fault-tolerant manner and provides a unified, high-throughput, and low-latency platform to manage data.
Source: hevodata.com
NATS vs RabbitMQ vs NSQ vs Kafka | Gcore
One of the biggest drawbacks of Apache Kafka is the architecture that makes it so efficient. The combination of brokers and ZooKeeper nodes, along with numerous configurable options, can make it difficult and complex for new teams to set up and manage without encountering performance issues or data loss. However, Kafka can work without ZooKeeper after 3.3.1 version using...
Source: gcore.com

Social recommendations and mentions

Based on our record, Apache Kafka seems to be more popular. 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.

Slurp Data Services Platform mentions (0)

We have not tracked any mentions of Slurp Data Services Platform yet. Tracking of Slurp Data Services Platform recommendations started around Jun 2021.

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 / 4 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 / 4 months ago
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What are some alternatives?

When comparing Slurp Data Services Platform and Apache Kafka, you can also consider the following products

Arc Games - Arc brings your favorite games, communities, media and

RabbitMQ - RabbitMQ is an open source message broker software.

Materia - Materia is a development environment to build advanced mobile and web applications.

Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.

adapta-gtk-theme - An adaptive Gtk+ theme based on Material Design Guidelines - adapta-project/adapta-gtk-theme

Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.

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