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Databricks Unified Analytics Platform VS QlikView Expressor

Compare Databricks Unified Analytics Platform VS QlikView Expressor and see what are their differences

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Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

Databricks Unified Analytics Platform logo Databricks Unified Analytics Platform

One platform for accelerating data-driven innovation across data engineering, data science & business analytics

QlikView Expressor logo QlikView Expressor

QlikView Expressor is a metadata management, a disruptive approach to data management.
  • Databricks Unified Analytics Platform Landing page
    Landing page //
    2023-07-11
  • QlikView Expressor Landing page
    Landing page //
    2023-07-05

Databricks Unified Analytics Platform features and specs

  • Scalability
    Databricks is built on Apache Spark, which allows for easy scaling of data processing and analytics operations across large datasets.
  • Integrated Environment
    Provides a unified analytics platform that combines data engineering, data science, and data warehouse capabilities, simplifying workflows.
  • Collaborative Workspace
    Enables collaboration between data engineers, data scientists, and analysts with its interactive notebooks and real-time collaboration features.
  • Lakehouse Architecture
    Combines the best features of data lakes and data warehouses, providing structured transactional data access over unstructured data.
  • Support for Multiple Languages
    Offers support for multiple programming languages such as Python, R, SQL, and Scala, making it versatile for different users.

Possible disadvantages of Databricks Unified Analytics Platform

  • Complexity
    Despite its powerful features, the platform can be complex to set up and manage, particularly for teams unfamiliar with similar environments.
  • Cost
    The platform can become expensive, especially when scaling operations and running large workloads continuously.
  • Learning Curve
    New users might face a steep learning curve, requiring training and practice to use the platform effectively.
  • Vendor Lock-In
    Using proprietary tools and integrations could lead to dependency on Databricks, making it harder to switch to other solutions in the future.
  • Limited Offline Features
    As a cloud-native platform, Databricks relies heavily on internet connectivity, lacking robust offline features for some use cases.

QlikView Expressor features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Databricks Unified Analytics Platform and QlikView Expressor)

Databricks Unified Analytics Platform

QlikView Expressor

Office & Productivity
100 100%
Office & Productivity
0% 0
ETL
0 0%
ETL
100% 100
Development
100 100%
Development
0% 0
Data Integration
0 0%
Data Integration
100% 100

User comments

Share your experience with using Databricks Unified Analytics Platform and QlikView Expressor. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Databricks Unified Analytics Platform and QlikView Expressor

Databricks Unified Analytics Platform Reviews

We have no reviews of Databricks Unified Analytics Platform yet.
Be the first one to post

QlikView Expressor Reviews

15 Best ETL Tools in 2022 (A Complete Updated List)
QlikView Expressor is simple and easy to understand the ETL tool. It is now integrated with Qlik. Qlik is metadata management and ETL tool.
Source: www.softwaretestinghelp.com

Social recommendations and mentions

Based on our record, Databricks Unified Analytics Platform 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.

Databricks Unified Analytics Platform mentions (1)

  • Should I replicate all our transactional DB to Redshift?
    See more here: https://databricks.com/product/data-lakehouse. Source: about 3 years ago

QlikView Expressor mentions (0)

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

What are some alternatives?

When comparing Databricks Unified Analytics Platform and QlikView Expressor, you can also consider the following products

Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.

SAS Data Integration Studio - SAS Data Integration Studio product page on the Support Site has the latest news, samples, downloads, support information, training, and documentation.

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Oracle Data Integrator - Oracle Data Integrator is a data integration platform that covers batch loads, to trickle-feed integration processes.

Azure Synapse Analytics - Get started with Azure SQL Data Warehouse for an enterprise-class SQL Server experience. Cloud data warehouses offer flexibility, scalability, and big data insights.

DataFactory by RightData - High Performance next gen Cloud Data Platform for all the Data practitioners initiatives.

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