QlikView Expressor vs ql.io

Struggling to choose between QlikView Expressor and ql.io? Both products offer unique advantages, making it a tough decision.

QlikView Expressor is a Business & Commerce solution with tags like data-visualization, dashboarding, business-analytics, data-exploration, reporting.

It boasts features such as Drag-and-drop interface for data modeling, In-memory associative technology for rapid analysis, Interactive dashboards and visualizations, Self-service data preparation, Collaboration and sharing capabilities, Mobile app for access on the go, Broad connectivity to data sources, Geoanalytics and mapping features, Enterprise scalability and governance and pros including Fast and intuitive data analysis, Powerful visualization capabilities, Scales to large data volumes, Associative technology uncovers insights, Collaboration features, Broad data connectivity.

On the other hand, ql.io is a Development product tagged with opensource, sql, database, performance, scalability, large-data, complex-queries, low-latency.

Its standout features include Column-oriented storage engine for faster queries, Support for SQL queries, Distributed architecture for scaling, Automatic sharding, ACID transactions, Embeddable, Zero configuration, and it shines with pros like Very fast query performance, Scales horizontally, SQL support allows easy migration, Lightweight and embeddable, Open source.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

QlikView Expressor

QlikView Expressor

QlikView Expressor is a data visualization and dashboarding software that enables interactive data exploration and reporting. It uses in-memory associative technology for rapid analysis.

Categories:
data-visualization dashboarding business-analytics data-exploration reporting

QlikView Expressor Features

  1. Drag-and-drop interface for data modeling
  2. In-memory associative technology for rapid analysis
  3. Interactive dashboards and visualizations
  4. Self-service data preparation
  5. Collaboration and sharing capabilities
  6. Mobile app for access on the go
  7. Broad connectivity to data sources
  8. Geoanalytics and mapping features
  9. Enterprise scalability and governance

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Fast and intuitive data analysis

Powerful visualization capabilities

Scales to large data volumes

Associative technology uncovers insights

Collaboration features

Broad data connectivity

Cons

Steep learning curve

Expensive licensing model

Scripting language lacks power of R or Python

Limited advanced statistical/ML capabilities

Not fully open source


ql.io

ql.io

ql.io is an open-source SQL database that is focused on performance, scalability, and ease of use. It is designed to handle large amounts of data and complex queries with minimal latency.

Categories:
opensource sql database performance scalability large-data complex-queries low-latency

Ql.io Features

  1. Column-oriented storage engine for faster queries
  2. Support for SQL queries
  3. Distributed architecture for scaling
  4. Automatic sharding
  5. ACID transactions
  6. Embeddable
  7. Zero configuration

Pricing

  • Open Source

Pros

Very fast query performance

Scales horizontally

SQL support allows easy migration

Lightweight and embeddable

Open source

Cons

Limited ecosystem compared to larger databases

Not as feature rich as commercial options

Limited admin UI

No commercial support