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20 Ratings
1 Rating
20 Ratings
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Score 8.4 out of 100
1 Rating
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Score 10 out of 100

Attribute Ratings

  • Upsolver is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

8.8

AWS Glue

88%
5 Ratings
10.0

Upsolver

100%
1 Rating

Support Rating

7.0

AWS Glue

70%
2 Ratings

Upsolver

N/A
0 Ratings

Likelihood to Recommend

Amazon AWS

One of AWS Glue's most notable features that aid in the creation and transformation of data is its data catalog. Support, scheduling, and the automation of the data schema recognition make it superior to its competitors aside from that. It also integrates perfectly with other AWS tools. The main restriction may be integrated with systems outside of the AWS environment. It functions flawlessly with the current AWS services but not with other goods. Another potential restriction that comes to mind is that glue operates on a spark, which means the engineer needs to be conversant in the language.
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Upsolver Limited

Data lineage visibility from source to the lake to target. Effective transactional data from databases using JDBC or CDC. Integration with lake query engines. Automated use of low-cost spot instances. Automated use of low-cost cloud object storage. Automated vacuum at stale and intermediate data. Continuous, high integrity table management.
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Pros

Amazon AWS

  • It is extremely fast, easy, and self-intuitive. Though it is a suite of services, it requires pretty less time to get control over it.
  • As it is a managed service, one need not take care of a lot of underlying details. The identification of data schema, code generation, customization, and orchestration of the different job components allows the developers to focus on the core business problem without worrying about infrastructure issues.
  • It is a pay-as-you-go service. So, there is no need to provide any capacity in advance. So, it makes scheduling much easier.
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Upsolver Limited

  • Data lake table management.
  • High performance at scale on complex data.
  • Capacity to parquet based data for fast queries.
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Cons

Amazon AWS

  • In-Stream schema registries feature people can not use this more efficiently
  • in Connections feature they can add more connectors as well
  • The crucial problem with AWS Glue is that it only works with AWS.
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Upsolver Limited

  • Enables low latency dimension tables using streaming upsets.
  • Continuous lock free compaction.
  • Automatic schema on read and data profiling.
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Pricing Details

AWS Glue

Starting Price

$0.44 billed per second, 1 minute minimum

Editions & Modules

AWS Glue editions and modules pricing
EditionModules
per DPU-Hour$0.441

Footnotes

  1. billed per second, 1 minute minimum

Offerings

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services

Entry-level set up fee?

No setup fee

Additional Details

Upsolver

Starting Price

$0

Editions & Modules

Upsolver editions and modules pricing
EditionModules

Footnotes

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    Support Rating

    Amazon AWS

    Amazon responds in good time once the ticket has been generated but needs to generate tickets frequent because very few sample codes are available, and it's not cover all the scenarios.
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    Upsolver Limited

    No answers on this topic

    Alternatives Considered

    Amazon AWS

    AWS Glue is a managed service. It was easier for us to integrate it into our stack since we are already an AWS shop. It saved us the headache of managing a 3rd part service.
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    Upsolver Limited

    Great in streamlining workload. Continuously serve data to lakes, warehouses, databases, and streaming systems. Near-zero maintenance overhead for analytics ready data. Blend streaming and large-scale batch data. Low code, SQL-based data transformation. UI-driven ingestion connections with auto-generated schema on reading. Automated pipeline orchestration with built-in data lake best practices.
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    Return on Investment

    Amazon AWS

    • It is costly.
    • Implementation is time consuming.
    • Data creation transformation is smooth.
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    Upsolver Limited

    • Integrations and connectors.
    • Effective stream processing engines.
    • Ability to write to Amazon.
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    Screenshots

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