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Upsolver VS Visual Flow

Compare Upsolver VS Visual Flow and see what are their differences

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

Upsolver logo Upsolver

Upsolver is a robust Data Lake Platform that simplifies big & streaming data integration, management and preparation on premise (HDFS) or in the cloud (AWS, Azure, GCP).

Visual Flow logo Visual Flow

Set up data pipelines in 15 minutes without single line of code with open-source ETL/ELT solution
  • Upsolver Landing page
    Landing page //
    2023-08-06
  • Visual Flow Landing page
    Landing page //
    2023-06-18

Upsolver features and specs

  • Ease of Use
    Upsolver provides a user-friendly interface, making it accessible for users with varying levels of technical expertise. It simplifies complex data processing tasks, reducing the need for extensive coding knowledge.
  • Real-time Data Processing
    Upsolver is specifically designed for real-time data ingestion and processing. This capability allows businesses to react quickly to new data and gain timely insights.
  • Integration Capabilities
    Upsolver supports integration with a wide range of data sources and destinations, including AWS services, databases, and data lakes, enhancing its flexibility and utility across various data ecosystems.
  • Scalability
    The platform can scale to handle large volumes of data without significant performance degradation, making it suitable for enterprise-grade applications.
  • Serverless Architecture
    Being serverless, Upsolver eliminates the need for infrastructure management, allowing users to focus more on data processing and analytics rather than on maintenance.

Possible disadvantages of Upsolver

  • Cost
    While Upsolver offers powerful features, they come at a premium price, which might be a concern for small to medium-sized businesses with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, there can still be a learning curve for users unfamiliar with data processing principles or the specific paradigms Upsolver employs.
  • Dependency on Cloud Providers
    Upsolver is heavily integrated with cloud services, particularly AWS, which might not be ideal for organizations looking for multi-cloud or on-premises solutions.
  • Limited Customizability
    For very specific or advanced use cases, Upsolver might not offer the level of customizability that a fully hand-coded solution would provide.
  • Support and Documentation
    While Upsolver provides customer support and documentation, some users have reported that the documentation can be insufficient for complex implementations, potentially requiring additional support.

Visual Flow features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Upsolver and Visual Flow)

Upsolver

Visual Flow

Business & Commerce
100 100%
Business & Commerce
0% 0
Data Workflow
0 0%
Data Workflow
100% 100
Online Services
100 100%
Online Services
0% 0
Data Integration
0 0%
Data Integration
100% 100

User comments

Share your experience with using Upsolver and Visual Flow. 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 Upsolver and Visual Flow

Upsolver Reviews

Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
In this way, Upsolver removes the complexity of Big Data and Real-Time projects and reduces their use time from several weeks or months to several hours. With the latest Volcano technology, this tool queries the entire data lake in less than a millisecond and stores 10x the amount of data in RAM.
Source: visual-flow.com

Visual Flow Reviews

Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
An Apache Spark project, Visual Flow is a cloud-native open-source ETL tool that provides users with an intuitive, drag-and-drop GUI for ETL jobs building and connecting them to form Data Processing Pipelines. After that, you will be able to run, schedule, and monitor the execution of these ETL processes. Also, this platform allows you to create multiple projects in one...
Source: visual-flow.com

Social recommendations and mentions

Based on our record, Upsolver 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.

Upsolver mentions (1)

  • Anyone Used Dremio?
    Most of the pains of using query engines over object storage are in the ongoing management of files (partitioning, compression, merging many small files into fewer larger files) Cloud data lakes are tremendously valuable when it comes to exploratory and ad-hoc data analysis. If you really require sub-second queries on structured data, you're better off with a data warehouse. I'm not totally clear on your use... Source: over 3 years ago

Visual Flow mentions (0)

We have not tracked any mentions of Visual Flow yet. Tracking of Visual Flow recommendations started around Mar 2023.

What are some alternatives?

When comparing Upsolver and Visual Flow, you can also consider the following products

IRI Voracity - IRI Voracity is an automated data management platform that helps you extract, transform and load (ETL) your data lake to any data warehouse or cloud.

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

Mozart Data - The easiest way for teams to build a Modern Data Stack

Talend - Talend Cloud delivers a single, open platform for data integration across cloud and on-premises environments. Put more data to work for your business faster with Talend.

Zaloni Data Platform - Get self-service data from a platform that accelerates business insights. Use data from any source, anywhere: the cloud, on-premises, multi-cloud or hybrid.

Integrate.io - Integrate.io - the data warehouse integration platform designed specifically for e-commerce. Power your data warehouse with ETL, ELT, CDC, Reverse ETL, and API Management.

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