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Apache Kylin VS Jaspersoft

Compare Apache Kylin VS Jaspersoft and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Apache Kylin logo Apache Kylin

OLAP Engine for Big Data

Jaspersoft logo Jaspersoft

Learn about how the world's most widely used business intelligence suite leverages open source for the best and most cost-effective reporting, dashboards and analytics available.
  • Apache Kylin Landing page
    Landing page //
    2023-06-29
  • Jaspersoft Landing page
    Landing page //
    2023-01-11

ย  www.jaspersoft.comSoftware by JasperSoft

Apache Kylin features and specs

  • High Query Performance
    Apache Kylin is designed for high-performance, low-latency analytics on large datasets. Its OLAP engine pre-computes and stores aggregated queries, which speeds up query responses significantly.
  • Scalability
    Kylin can handle massive volumes of data, making it suitable for large scale data warehousing needs. It is designed to scale out by distributing the workload across a cluster of servers.
  • Integration with Hadoop Ecosystem
    Kylin integrates seamlessly with the Hadoop ecosystem, leveraging tools like Hive, HBase, and Spark to facilitate data processing and storage, thereby enhancing its functionality and compatibility.
  • Support for Multi-dimensional Analysis
    It provides strong multidimensional analysis capabilities, allowing for complex queries using well-known BI tools like Tableau and Power BI.

Possible disadvantages of Apache Kylin

  • Complex Setup
    Setting up and configuring Apache Kylin can be complex and time-consuming, requiring a deep understanding of the Hadoop ecosystem and its components.
  • Resource Intensity
    The pre-computation of data cubes and their storage can be resource-intensive, consuming significant memory and storage capacity.
  • Limited Flexibility in Querying
    Pre-aggregated cube-based analysis may not cover all ad-hoc queries. Kylin's strength lies in pre-aggregated queries but may fall short in handling highly dynamic, on-the-fly queries.
  • Maintenance Overhead
    Maintaining Kylinโ€™s precomputed cubes can become cumbersome, particularly as data evolves or changes frequently, requiring updates or recalculations of cubes.

Jaspersoft features and specs

  • Customization
    Jaspersoft offers a high level of customization, allowing users to tailor reports, dashboards, and visualizations to meet specific business needs.
  • Integration
    It easily integrates with various data sources, including SQL databases, NoSQL databases, and Big Data platforms, facilitating comprehensive data analysis.
  • Open Source
    Jaspersoft provides a community edition that is open-source, making it accessible for small businesses or projects with limited budgets.
  • Extensive Features
    The platform offers a wide range of features including data visualization, reporting, and analytics, which can serve diverse business requirements.
  • Scalability
    Designed to handle large amounts of data and high numbers of users, providing a scalable solution for growing businesses.
  • Global Community and Support
    Strong community support along with commercial support options from TIBCO, ensuring users have access to ample resources and assistance.

Possible disadvantages of Jaspersoft

  • Complexity
    The platform can be complex to set up and configure, especially for users who are not familiar with business intelligence tools.
  • Cost
    While the community edition is free, the commercial editions can be expensive, which may not be suitable for smaller organizations with limited budgets.
  • User Interface
    Some users find the user interface to be less intuitive compared to other business intelligence tools, which could lead to a steeper learning curve.
  • Performance
    Certain complex reports and large data sets can lead to performance bottlenecks, impacting the speed and efficiency of data retrieval and reporting.
  • Documentation
    While extensive, some users have reported that the documentation can be outdated or insufficient, making it difficult to troubleshoot issues.

Analysis of Jaspersoft

Overall verdict

  • Jaspersoft is considered a good option for organizations looking for a comprehensive and customizable BI platform. Its strengths lie in its flexibility, extensive feature set, and ability to handle diverse data sources. However, the complexity of setup and deployment might require users to have a certain level of technical expertise.

Why this product is good

  • Jaspersoft is a widely recognized business intelligence tool that provides robust reporting, data visualization, and analytics features. It is well-suited for businesses that need a scalable and flexible BI solution, supporting a wide range of data sources and formats. Its ability to integrate with various platforms and its open-source nature provide users with extensive customization options.

Recommended for

    Jaspersoft is recommended for medium to large enterprises that require advanced analytics, reporting, and data integration capabilities. It's suitable for IT departments and data teams that have the technical expertise to implement and customize the platform according to their needs.

Apache Kylin videos

+ Add

Extreme OLAP Analytics with Apache Kylin - Big Data Application Meetup

More videos:

  • Review - Apache Kylin: OLAP Cubes for NoSQL Data stores
  • Review - Installing Apache Kylin in Cloudera Quickstart VM Sandbox

Jaspersoft videos

+ Add

Jaspersoft Product Overview

More videos:

  • Tutorial - How to Create Your First Report in Jaspersoft Studio

Category Popularity

0-100% (relative to Apache Kylin and Jaspersoft)

Apache Kylin

Jaspersoft

Databases
100 100%
Databases
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Data Management
100 100%
Data Management
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100

User comments

Share your experience with using Apache Kylin and Jaspersoft. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apache Kylin seems to be more popular. It has been mentiond 1 time 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 Kylin mentions (1)

  • Apache Kafka Use Cases: When To Use It & When Not To
    A Kafka-based data integration platform will be a good fit here. The services can add events to different topics in a broker whenever there is a data update. Kafka consumers corresponding to each of the services can monitor these topics and make updates to the data in real-time. It is also possible to create a unified data store through the same integration platform. Developers can implement a unified store either... - Source: dev.to / almost 4 years ago

Jaspersoft mentions (0)

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

What are some alternatives?

When comparing Apache Kylin and Jaspersoft, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

QlikSense - A business discovery platform that delivers self-service business intelligence capabilities

Amazon Redshift - Learn about Amazon Redshift cloud data warehouse.

Owler - Owler is a crowdsourced data model allowing users to follow, track, and research companies.

Snowflakepowe.red - Snowflake Computing is delivering a data warehouse for the cloud.

Whatagraph - Whatagraph is the most visual multi-source marketing reporting platform. Built in collaboration with digital marketing agencies

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