Software Alternatives, Accelerators & Startups

Kafka Streams VS DataTap

Compare Kafka Streams VS DataTap and see what are their differences

Kafka Streams logo Kafka Streams

Apache Kafka: A Distributed Streaming Platform.

DataTap logo DataTap

Adverity is the best data intelligence software for data-driven decision making. Connect to all your sources and harmonize the data across all channels.
  • Kafka Streams Landing page
    Landing page //
    2022-11-21
  • DataTap Landing page
    Landing page //
    2023-10-14

DataTap

Release Date
2015 January
Startup details
Country
Austria
State
Wien
City
Vienna
Founder(s)
Alexander Igelsböck
Employees
100 - 249

Kafka Streams videos

Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Review - Big Data Analytics in Near-Real-Time with Apache Kafka Streams - Allen Underwood
  • Review - Spring Tips: Spring Cloud Stream Kafka Streams

DataTap videos

No DataTap videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Kafka Streams and DataTap)
Stream Processing
100 100%
0% 0
Data Integration
0 0%
100% 100
Big Data
100 100%
0% 0
ETL
0 0%
100% 100

User comments

Share your experience with using Kafka Streams and DataTap. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Kafka Streams and DataTap

Kafka Streams Reviews

We have no reviews of Kafka Streams yet.
Be the first one to post

DataTap Reviews

Funnel.io — Data integration platform with 500+ data sources
Adverity offers a data integration and data visualisation platform. Like Datorama, it let’s you connect all marketing data and visualise it in it’s own platform. It also let’s you visualise data in your favorite BI platform such as Data Studio or Power BI
Source: www.windsor.ai

Social recommendations and mentions

Based on our record, Kafka Streams seems to be a lot more popular than DataTap. While we know about 14 links to Kafka Streams, we've tracked only 1 mention of DataTap. 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.

Kafka Streams mentions (14)

  • Top 10 Common Data Engineers and Scientists Pain Points in 2024
    Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / about 2 months ago
  • Forward Compatible Enum Values in API with Java Jackson
    We’re not discussing the technical details behind the deduplication process. It could be Apache Flink, Apache Spark, or Kafka Streams. Anyway, it’s out of the scope of this article. - Source: dev.to / over 1 year ago
  • Kafka Internals - Learn kafka in-depth (Part-1)
    In pub-sub systems, you cannot have multiple services to consume the same data because the messages are deleted after being consumed by one consumer. Whereas in Kafka, you can have multiple services to consume. This opens the door to a lot of opportunities such as Kafka streams, Kafka connect. We’ll discuss these at the end of the series. - Source: dev.to / over 1 year ago
  • Event streaming in .Net with Kafka
    Internally, Streamiz use the .Net client for Apache Kafka released by Confluent and try to provide the same features than Kafka Streams. There is gap between these two library, but the trend is decreasing after each release. - Source: dev.to / over 1 year ago
  • Apache Pulsar vs Apache Kafka - How to choose a data streaming platform
    Both Kafka and Pulsar provide some kind of stream processing capability, but Kafka is much further along in that regard. Pulsar stream processing relies on the Pulsar Functions interface which is only suited for simple callbacks. On the other hand, Kafka Streams and ksqlDB are more complete solutions that could be considered replacements for Apache Spark or Apache Flink, state-of-the-art stream-processing... - Source: dev.to / over 1 year ago
View more

DataTap mentions (1)

What are some alternatives?

When comparing Kafka Streams and DataTap, you can also consider the following products

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Funnel.io - Marketing analytics software for e-commerce companies and online marketers that automatically...

Apache NiFi - An easy to use, powerful, and reliable system to process and distribute data.

Workato - Experts agree - we're the leader. Forrester Research names Workato a Leader in iPaaS for Dynamic Integration. Get the report. Gartner recognizes Workato as a “Cool Vendor in Social Software and Collaboration”.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Segment - We make customer data simple.