
Amazon Kinesis
PieSync
Azure Databricks
Spark Streaming
Apache Kudu
MyAnalytics
Apache Flink
Confluent offers a real-time data platform built around Apache Kafka.

Skedulo
Smarter Field Service and Faster Remote Assistance.

Which is more popular?
Based on our record, Confluent seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | confluent.io | tillerstack.com |
| Pricing | ||
| Company | — | Startup from Germany · 50 - 99 employees · 2019 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Confluent yet.
TillerStack provides Field Service Management (FSM) and On-Site Remote Assist (OSRA) solutions for modern service organizations. Its TSentra platform supports AI-powered scheduling, dispatching, route optimization, mobile workforce management, and real-time field operations, while Osra+ uses AI...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of Confluent yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
1. Intro | Monitoring Kafka in Confluent Control Center
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Confluent and TillerStack. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


We’re going to setup a Kafka cluster using confluent.io, create a producer and consumer as well as enhance our behavior driven tests to include the new interface. We’re going to update our helm chart so that the updates are seamless to... Source: over 4 years ago
Tracking TillerStack since Sep 2022.
When comparing Confluent and TillerStack, you can also consider the following products.

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Skedulo is a mobile workforce scheduling and management application integrated with the Salesforce.com platform.
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Seamless two-way sync between your CRM, marketing apps and Google in no time
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Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.
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Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
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Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.
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