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Singer VS Apache Kafka

Compare Singer VS Apache Kafka and see what are their differences

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Singer logo Singer

Simple, Composable, Open Source ETL

Apache Kafka logo Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
  • Singer Landing page
    Landing page //
    2019-09-08
  • Apache Kafka Landing page
    Landing page //
    2022-10-01

Singer features and specs

No features have been listed yet.

Apache Kafka features and specs

  • High Throughput
    Kafka is capable of handling thousands of messages per second due to its distributed architecture, making it suitable for applications that require high throughput.
  • Scalability
    Kafka can easily scale horizontally by adding more brokers to a cluster, making it highly scalable to serve increased loads.
  • Fault Tolerance
    Kafka has built-in replication, ensuring that data is replicated across multiple brokers, providing fault tolerance and high availability.
  • Durability
    Kafka ensures data durability by writing data to disk, which can be replicated to other nodes, ensuring data is not lost even if a broker fails.
  • Real-time Processing
    Kafka supports real-time data streaming, enabling applications to process and react to data as it arrives.
  • Decoupling of Systems
    Kafka acts as a buffer and decouples the production and consumption of messages, allowing independent scaling and management of producers and consumers.
  • Wide Ecosystem
    The Kafka ecosystem includes various tools and connectors such as Kafka Streams, Kafka Connect, and KSQL, which enrich the functionality of Kafka.
  • Strong Community Support
    Kafka has strong community support and extensive documentation, making it easier for developers to find help and resources.

Possible disadvantages of Apache Kafka

  • Complex Setup and Management
    Kafka's distributed nature can make initial setup and ongoing management complex, requiring expert knowledge and significant administrative effort.
  • Operational Overhead
    Running Kafka clusters involves additional operational overhead, including hardware provisioning, monitoring, tuning, and scaling.
  • Latency Sensitivity
    Despite its high throughput, Kafka may experience increased latency in certain scenarios, especially when configured for high durability and consistency.
  • Learning Curve
    The concepts and architecture of Kafka can be difficult for new users to grasp, leading to a steep learning curve.
  • Hardware Intensive
    Kafka's performance characteristics often require dedicated and powerful hardware, which can be costly to procure and maintain.
  • Dependency Management
    Managing Kafka's dependencies and ensuring compatibility between versions of Kafka, Zookeeper, and other ecosystem tools can be challenging.
  • Limited Support for Small Messages
    Kafka is optimized for large throughput and can be inefficient for applications that require handling a lot of small messages, where overhead can become significant.
  • Operational Complexity for Small Teams
    Smaller teams might find the operational complexity and maintenance burden of Kafka difficult to manage without a dedicated operations or DevOps team.

Singer videos

+ Add

30 Day Vocal Transformation | Horrible Singer Learns to Sing + SINGR Review

More videos:

  • Review - Does 30 Day Singer Actually Work? Before and After Video
  • Review - Porsche 911 Reimagined by Singer: Henry Catchpole’s Definitive Road Review | Carfection 4K

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 Singer and Apache Kafka)

Singer

Apache Kafka

Data Integration
7 7%
Data Integration
93% 93
Stream Processing
2 2%
Stream Processing
98% 98
ETL
100 100%
ETL
0% 0
Open Source
100 100%
Open Source
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 Singer and Apache Kafka

Singer Reviews

Best ETL Tools: A Curated List
Older framework: Singer flourished while Stitch was doing well. But after it was acquired by Talend, which then got acquired by Qlik, it is buried as one of three overlapping tools inside Qlik. Meltano is a newer Singer-based framework that is continuing to grow. If you’re committed to Singer, you should evaluate it.
Source: estuary.dev
10 Best Open Source ETL Tools for Data Integration
One thing to keep in mind is that Singer is a script-based ETL tool; you have to write specific codes to perform ETL duties. Data extraction scripts are called ‘tags,’ and data loading scripts are termed ‘targets.’ These scripts can be run in any sequence or combination to execute the ETL processes of your choice. Singer further allows you to create your own tags and targets...
Source: testsigma.com
11 Best FREE Open-Source ETL Tools in 2024
Some Open-Source ETL Tools have a command line interface. Singer is one such tool that uses a command-line interface to allow users to build modular ETL Pipelines using its “Tap” and “Target” modules. Singer provides a framework that allows users to connect data sources to storage locations directly.
Source: hevodata.com
Top 10 Popular Open-Source ETL Tools for 2021
Some Open-Source ETL Tools have a command line interface. Singer is one such tool that uses a command-line interface to allow users to build modular ETL Pipelines using its “Tap” and “Target” modules. Singer provides a framework that allows users to connect data sources to storage locations directly.
Source: hevodata.com
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
As with Fivetran, Airbyte integrates with dbt for transformations, making it an ELT tool. However, contrary to Singer, Airbyte uses one single open-source repo to standardize and consolidate all developments from the community, leading to higher quality connectors. They built a compatibility layer with Singer so that Singer taps can run within Airbyte.
Source: blog.panoply.io

Apache Kafka Reviews

Best ETL Tools: A Curated List
Debezium is an open-source Change Data Capture (CDC) tool that originated from RedHat. It leverages Apache Kafka and Kafka Connect to enable real-time data replication from databases. Debezium was partly inspired by Martin Kleppmann’s "Turning the Database Inside Out" concept, which emphasized the power of the CDC for modern data pipelines.
Source: estuary.dev
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

Social recommendations and mentions

Based on our record, Apache Kafka seems to be a lot more popular than Singer. While we know about 144 links to Apache Kafka, we've tracked only 7 mentions of Singer. 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.

Singer mentions (7)

  • Why do companies still build data ingestion tooling instead of using a third-party tool like Airbyte?
    Coincidently, I saw a presentation today on a nice half-way-house solution: using embeddable Python libraries like Sling and dlt - both open-source. See https://www.youtube.com/watch?v=gAqOLgG2iYY There is also singer.io which is more of a protocol than a library, but can also be installed although it looks like it is a true community effort and not so well maintained. Source: over 1 year ago
  • Data sources episode 2: AWS S3 to Postgres Data Sync using Singer
    Singer is an open-source framework for data ingestion, which provides a standardized way to move data between various data sources and destinations (such as databases, APIs, and data warehouses). Singer offers a modular approach to data extraction and loading by leveraging two main components: Taps (data extractors) and Targets (data loaders). This design makes it an attractive option for data ingestion for... - Source: dev.to / about 2 years ago
  • CDC (Change Data Capture) with 3rd party APIs
    Or you could build your own such system and run it on Airflow, Prefect, Dagster, etc. Check out the Singer project for a suite of Python packages designed for such a task. Quality varies greatly, though. Source: over 2 years ago
  • Looking to build a database for BI reports
    This is good advice and I think Airbyte created a great product here. I tried singer.io and pipewise but Airbyte is much better in my opinion and I love the UI. Source: almost 4 years ago
  • Recommendation for approach for populating and refreshing new data lake
    Suspect my question should have been regarding FREE systems, rather than BUYING a system. Sounds like singer.io will do what I need. Source: about 4 years ago
View more

Apache Kafka mentions (144)

View more

What are some alternatives?

When comparing Singer and Apache Kafka, you can also consider the following products

Apache Camel - Apache Camel is a versatile open-source integration framework based on known enterprise integration patterns.

RabbitMQ - RabbitMQ is an open source message broker software.

Talend Open Studio - Connect to any data source in batch or real-time, across any platform. Download Talend Open Studio today to start working with Hadoop and NoSQL.

Histats - Start tracking your visitors in 1 minute!

pygrametl - ETL programming in Python

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.

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