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Apache Hive VS Qlik Compose

Compare Apache Hive VS Qlik Compose and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

Apache Hive logo Apache Hive

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

Qlik Compose logo Qlik Compose

Improve the return on your data lake investment and simplify the ETL process by automating manual and repetitive aspects of data warehouse automation with Attunity Compose.
  • Apache Hive Landing page
    Landing page //
    2023-01-13
  • Qlik Compose Landing page
    Landing page //
    2022-08-04

Apache Hive features and specs

  • Scalability
    Apache Hive is built on top of Hadoop, allowing it to efficiently handle large datasets by distributing the load across a cluster of machines.
  • SQL-like Interface
    Hive provides a familiar SQL-like querying language, HiveQL, which makes it easier for users with SQL knowledge to perform data analysis on large datasets without needing to learn a new syntax.
  • Integration with Hadoop Ecosystem
    Hive integrates seamlessly with other components of the Hadoop ecosystem such as HDFS for storage and MapReduce for processing, making it a versatile tool for big data processing.
  • Schema on Read
    Hive uses a schema-on-read model which allows it to work with flexible data schemas and handle unstructured or semi-structured data efficiently.
  • Extensibility
    Users can extend Hive's capabilities by writing custom UDFs (User Defined Functions), UDAFs (User Defined Aggregate Functions), and SerDes (Serializers/ Deserializers).

Possible disadvantages of Apache Hive

  • Latency in Query Processing
    Queries in Hive often take longer to execute compared to traditional databases, as they are converted to MapReduce jobs which can introduce significant latency.
  • Limited Real-time Processing
    Hive is designed for batch processing and is not suitable for real-time analytics due to its reliance on MapReduce, which is not optimized for low-latency operations.
  • Complex Configuration
    Setting up Hive and configuring it to work optimally within a Hadoop cluster can be complex and require a significant amount of effort and expertise.
  • Lack of Support for Transactions
    Hive does not natively support full ACID transactions, which can be a limitation for applications that require consistent transaction management across large datasets.
  • Dependency on Hadoop
    Hive's reliance on the Hadoop ecosystem means it inherits some of Hadoop's limitations, such as a steep learning curve and the need for substantial resources to manage a cluster.

Qlik Compose features and specs

No features have been listed yet.

Apache Hive videos

+ Add

Hive vs Impala - Comparing Apache Hive vs Apache Impala

Qlik Compose videos

+ Add

Building a Cloud Based Data Warehouse on Google Big Query Using Qlik Compose

More videos:

  • Review - Agile Data Warehouse Automation with Qlik Compose
  • Review - Talk to Experts Tuesday - Qlik Compose

Category Popularity

0-100% (relative to Apache Hive and Qlik Compose)

Apache Hive

Qlik Compose

Databases
100 100%
Databases
0% 0
Data Integration
0 0%
Data Integration
100% 100
Big Data
100 100%
Big Data
0% 0
ETL
0 0%
ETL
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 Hive and Qlik Compose

Apache Hive Reviews

We have no reviews of Apache Hive yet.
Be the first one to post

Qlik Compose Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Qlik Compose is a data warehousing solution that automatically designs data warehouses and generates ETL code. This tool automates tedious and error-prone ETL development and maintenance. This‌ shortens the lead time of data warehousing projects.
Source: www.datacamp.com

Social recommendations and mentions

Based on our record, Apache Hive seems to be more popular. It has been mentiond 8 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.

Apache Hive mentions (8)

View more

Qlik Compose mentions (0)

We have not tracked any mentions of Qlik Compose yet. Tracking of Qlik Compose recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Hive and Qlik Compose, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

AWS Glue - Fully managed extract, transform, and load (ETL) service

Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.

AWS Database Migration Service - AWS Database Migration Service allows you to migrate to AWS quickly and securely. Learn more about the benefits and the key use cases.

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

Pentaho Data Integration - Hitachi Vantara brings Pentaho Data Integration, an end-to-end platform for all data integration challenges, that simplifies creation of data pipelines and provides big data processing.

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