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Gearpump VS Upsolver

Compare Gearpump VS Upsolver and see what are their differences

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

Gearpump logo Gearpump

Apache Gearpump is a real-time big data streaming engine.

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).
  • Gearpump Landing page
    Landing page //
    2021-09-30
  • Upsolver Landing page
    Landing page //
    2023-08-06

Gearpump features and specs

No features have been listed yet.

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.

Analysis of Upsolver

Overall verdict

  • Overall, Upsolver is considered a good solution for organizations looking to streamline their data processing workflows without investing heavily in custom engineering. It provides a practical combination of features that make big data processing accessible and efficient.

Why this product is good

  • Upsolver is known for its ease of use and capability to handle large volumes of event data in real-time. It simplifies the process of transforming and analyzing data streams by providing a no-code/low-code platform. This reduces the need for extensive engineering resources, making it accessible to data teams of varying sizes and skill levels. Additionally, it integrates well with popular data lakes and warehouses, enhancing its versatility.

Recommended for

  • Data teams that lack extensive engineering resources.
  • Organizations that require real-time data processing capabilities.
  • Businesses utilizing cloud data lakes or warehouses.
  • Companies looking to simplify ETL processes with minimal coding.

Category Popularity

0-100% (relative to Gearpump and Upsolver)

Gearpump

Upsolver

Big Data
100 100%
Big Data
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100
Databases
100 100%
Databases
0% 0
Online Services
0 0%
Online Services
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 Gearpump and Upsolver

Gearpump Reviews

We have no reviews of Gearpump yet.
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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

Social recommendations and mentions

Upsolver might be a bit more popular than Gearpump. We know about 1 link to it since March 2021 and only 1 link to Gearpump. 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.

Gearpump mentions (1)

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

What are some alternatives?

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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.

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

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.

Spark Mail - Spark helps you take your inbox under control. Instantly see what’s important and quickly clean up the rest. Spark for Teams allows you to create, discuss, and share email with your colleagues

Kylo - Kylo is an end-to-end data lake management software that provides data from many sources in an automated fashion and optimizes it.

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