Software Alternatives & Reviews

Apache Sqoop VS Amazon Kinesis

Compare Apache Sqoop VS Amazon Kinesis and see what are their differences

Apache Sqoop logo Apache Sqoop

Sqoop is a command-line interface application for transferring data between relational databases and Hadoop.

Amazon Kinesis logo Amazon Kinesis

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
  • Apache Sqoop Landing page
    Landing page //
    2021-10-21
  • Amazon Kinesis Landing page
    Landing page //
    2022-01-28

Apache Sqoop videos

Apache Sqoop Tutorial | Sqoop: Import & Export Data From MySQL To HDFS | Hadoop Training | Edureka

More videos:

  • Tutorial - Apache Sqoop Tutorial -Importing and Exporting Data
  • Review - 15 Apache Sqoop - Sqoop Import - Incremental loads

Amazon Kinesis videos

AWS Big Data - Amazon Kinesis Analytics Introduction and Demonstration

More videos:

  • Review - Analyzing Data Streams in Real Time with Amazon Kinesis: PNNL's Serverless Data Lake Ingestion

Category Popularity

0-100% (relative to Apache Sqoop and Amazon Kinesis)
ETL
100 100%
0% 0
Stream Processing
0 0%
100% 100
Data Integration
41 41%
59% 59
Data Management
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Sqoop and Amazon Kinesis

Apache Sqoop Reviews

We have no reviews of Apache Sqoop yet.
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Amazon Kinesis Reviews

Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Amazon Kinesis was built to handle massive amounts of data, allowing it to be uploaded to a Redshift cluster. After the event stream is read and the data is transformed, it is placed into a table in Amazon SCTS in an Amazon ES domain. Thus, there is no need to use a server (instead, you need to integrate AWS ETL and AWS Lambda).
Source: visual-flow.com
6 Best Kafka Alternatives: 2022’s Must-know List
Kinesis enables streaming applications to be managed without additional infrastructure management. This highly scalable platform can process data from various sources with low latency. Known for its speed, ease of use, reliability, and capability of cross-platform replication, Amazon Kinesis is one of the most popular Kafka Alternatives. It is used for many purposes,...
Source: hevodata.com
Top 15 Kafka Alternatives Popular In 2021
Amazon Kinesis, also known as Kinesis Streams, is a popular alternative to Kafka, for collecting, processing, and analyzing video and data streams in real-time. It offers timely and insightful information, streaming data in a cost-effective manner with complete flexibility and scalability. It is easy to ingest data encompassing audios, videos, app logs, etc. It offers an...
16 Top Big Data Analytics Tools You Should Know About
Amazon Kinesis is a massively scalable, cloud-based analytics service which is designed for real-time applications.

Social recommendations and mentions

Based on our record, Amazon Kinesis seems to be a lot more popular than Apache Sqoop. While we know about 22 links to Amazon Kinesis, we've tracked only 2 mentions of Apache Sqoop. 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.

Apache Sqoop mentions (2)

  • do i need to learn java to write commands in sqoop ?
    I had never heard of Sqoop and looking at its page sqoop.apache.org, it seems to be legacy. Source: almost 2 years ago
  • Jinja2 not formatting my text correctly. Any advice?
    ListItem(name='Apache Sqoop', website='https://sqoop.apache.org/', category='Data Transfer Tools', short_description='Sqoop is a command-line interface application for transferring data between relational databases and Hadoop. The Apache Sqoop project was retired in June 2021 and moved to the Apache Attic.'),. Source: over 2 years ago

Amazon Kinesis mentions (22)

  • AWS DEV OPS Professional Exam short notes
    When you see Amazon Kinesis as an option, this becomes the ideal option to process data in real time. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit... - Source: dev.to / about 2 months ago
  • Querying microservices in real-time with materialized views
    RisingWave is an open-source streaming database that has built-in fully-managed CDC source connectors for various databases, also it can collect data from other sources such Kafka, Pulsar, Kinesis, or Redpanda and it allows you to query real-time streams using SQL. You can get a materialized view that is always up-to-date. - Source: dev.to / about 1 year ago
  • How Streaming database differs from a Traditional database?
    For example, RisingWave is one of the fastest-growing open-source streaming databases that can ingest data from Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections or using Debezium connectors to MySQL and PostgreSQL sources. Previously, I wrote a blog post about how to choose the right streaming database that discusses some key factors that you should... - Source: dev.to / about 1 year ago
  • Query Real Time Data in Kafka Using SQL
    RisingWave is an open-source distributed SQL database for stream processing. RisingWave accepts data from sources like Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections to MySQL and PostgreSQL sources. It uses the concept of materialized view that involves caching the outcome of your query operations and it is quite efficient for long-running stream... - Source: dev.to / about 1 year ago
  • How to choose the right streaming database
    You can ingest data from different data sources such as message brokers Kafka, Redpanda, Kinesis, Pulsar, or databases MySQL or PostgreSQL using their Change Data Capture (CDC) which is the process of identifying and capturing data changes. - Source: dev.to / about 1 year ago
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What are some alternatives?

When comparing Apache Sqoop and Amazon Kinesis, you can also consider the following products

Azure Data Factory - Learn more about Azure Data Factory, the easiest cloud-based hybrid data integration solution at an enterprise scale. Build data factories without the need to code.

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

WANdisco Fusion Platform - WANdisco Fusion is a data replication product for Hadoop.

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

Mover - Mover is a platform for moving files, streamlines the process of transferring users' data to the cloud.

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.