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Quest SharePlex vs Spring Cloud Data Flow comparison

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Featured Review
Buyer's Guide
Quest SharePlex vs. Spring Cloud Data Flow
July 2022
Find out what your peers are saying about Quest SharePlex vs. Spring Cloud Data Flow and other solutions. Updated: July 2022.
622,645 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes.""It is really easy to set up and the interface is easy to use.""StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved.""I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks.""In StreamSets, everything is in one place."

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"I like SharePlex's Compare and Repair tool.""There are some capabilities within SharePlex where you can see how the data is migrating and if it still maintains good data integrity. For example, if there are some tables that get out of sync, there are ways to find them and fix the problem on the spot. Since these are very common issues, we can easily fix these types of problems using utilities, like compare and repair. So, if you find something is out of sync, then you can just repair that table. It basically syncs that table from source to target to see if there are any differences. It will then replicate those differences to the target.""Because of the volume of the transactions, we heavily use a feature that allows SharePlex to replicate thousands of transactions. It's called PEP, Post Enhancement Performance, and that has helped us scale tremendously."

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"There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure.""The most valuable feature is real-time streaming."

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Cons
"We've seen a couple of cases where it appears to have a memory leak or a similar problem.""Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful.""We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back.""The logging mechanism could be improved. If I am working on a pipeline, then create a job out of it and it is running, it will generate constant logs. So, the logging mechanism could be simplified. Now, it is a bit difficult to understand and filter the logs. It takes some time.""If you use JDBC Lookup, for example, it generally takes a long time to process data."

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"I would like the solution to have some kind of machine learning and AI capabilities. Often, if we want to improve the performance of posting, we have to bump up a parameter. That means we need to stop the process, come up with a figure that we want to bump the parameter up to, and then start SharePlex. Machine learning and AI capabilities for these kinds of improvement would tremendously help boost productivity for us.""I don't know how easy it would be to change the architecture in an already implemented replication. For example, if we have a certain way of architecting for a particular database migration and want to change that during a period of time, is that an easy or difficult change? There was a need for us to change the architecture in-between the migration, but we didn't do it. We thought, "This is possibly complicated. Let's not change it in the middle because we were approaching our cutover date." That was one thing that we should have checked with support about for training.""I would like more ability to automate installation and configuration in line with some of the DevOps processes that are more mature in the market. That would be a considerable improvement."

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"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation.""Some of the features, like the monitoring tools, are not very mature and are still evolving."

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Pricing and Cost Advice
  • "We are running the community version right now, which can be used free of charge."
  • "StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."
  • "It has a CPU core-based licensing, which works for us and is quite good."
  • "There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."
  • More StreamSets Pricing and Cost Advice →

  • "It is not as expensive as Oracle GoldenGate and has worked really well within our budgets."
  • "It's really good value for the money. There are some things they could improve on, but in terms of the pricing, features, and support, as a holistic package, we are not thinking of anything else at this point in time."
  • More Quest SharePlex Pricing and Cost Advice →

  • "This is an open-source product that can be used free of charge."
  • More Spring Cloud Data Flow Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It is really easy to set up and the interface is easy to use.
    Top Answer:We've seen a couple of cases where it appears to have a memory leak or a similar problem. It grows for a bit and then… more »
    Top Answer:We typically use it to transport our Oracle raw datasets up to Microsoft Azure, and then into SQL databases there.
    Top Answer:Because of the volume of the transactions, we heavily use a feature that allows SharePlex to replicate thousands of… more »
    Top Answer:I would like the solution to have some kind of machine learning and AI capabilities. Often, if we want to improve the… more »
    Top Answer:Our application is hosted in multiple data centers and we primarily use SharePlex for keeping the data replicated from… more »
    Top Answer:The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand… more »
    Top Answer:Mostly the use cases are related to building a data pipeline. There are multiple microservices that are working in the… more »
    Top Answer:While the deployment is on-premises, the data center is not on-premises. It's in a different geographical location… more »
    Comparisons
    Also Known As
    Dell SharePlex, SharePlex
    Learn More
    Overview

    StreamSets offers an end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps, and power the modern data ecosystem and hybrid integration.

    Only StreamSets provides a single design experience for all design patterns for 10x greater developer productivity; smart data pipelines that are resilient to change for 80% less breakages; and a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps.

    With StreamSets, you can deliver the continuous data that drives the connected enterprise.

    SharePlex database replication empowers your organization to achieve its database goals now and into the future. Make use of built-in monitoring, conflict resolution, data comparison and synchronization capabilities backed by award-winning support.

    Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
    Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

    Offer
    Learn more about StreamSets
    Learn more about Quest SharePlex
    Learn more about Spring Cloud Data Flow
    Sample Customers
    Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
    Bodybuilding.com, Priceline.com, Ameco Beijing, Viasat, SK Broadband
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm14%
    Comms Service Provider13%
    Insurance Company8%
    VISITORS READING REVIEWS
    Computer Software Company29%
    Comms Service Provider13%
    Financial Services Firm8%
    Government5%
    VISITORS READING REVIEWS
    Computer Software Company24%
    Financial Services Firm17%
    Comms Service Provider13%
    Retailer6%
    Company Size
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise13%
    Large Enterprise72%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise13%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise73%
    Buyer's Guide
    Quest SharePlex vs. Spring Cloud Data Flow
    July 2022
    Find out what your peers are saying about Quest SharePlex vs. Spring Cloud Data Flow and other solutions. Updated: July 2022.
    622,645 professionals have used our research since 2012.

    Quest SharePlex is ranked 20th in Data Integration Tools with 3 reviews while Spring Cloud Data Flow is ranked 18th in Data Integration Tools with 2 reviews. Quest SharePlex is rated 9.0, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Quest SharePlex writes "Real-time replication means our data is available almost instantaneously if an issue occurs in one of our data centers". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". Quest SharePlex is most compared with Oracle GoldenGate, AWS Database Migration Service, HVR Software, Qlik Replicate and SSIS, whereas Spring Cloud Data Flow is most compared with Apache Flink, Amazon Kinesis, Apache Spark Streaming, Mule Anypoint Platform and Azure Data Factory. See our Quest SharePlex vs. Spring Cloud Data Flow report.

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    We monitor all Data Integration Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.