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Azure Data Factory vs JumpMind SymmetricDS comparison

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Azure Data Factory

Read 81 Azure Data Factory reviews
26,170 views|20,469 comparisons
91% willing to recommend
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JumpMind SymmetricDS

Read 2 JumpMind SymmetricDS reviews
289 views|181 comparisons
100% willing to recommend
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Buyer's Guide
Data Integration
April 2024
Executive Summary

We performed a comparison between Azure Data Factory and JumpMind SymmetricDS based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: April 2024).
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Featured Review
Zubair_Ahmed
Seamless cloud-based data integration providing a versatile platform with scalable data processing, diverse data...
The company is experiencing significant benefits as one of our customers is successfully implementing the solution we provide. We offer support to... Read more →
Anonymous User
Excellent change data capture utility for distributed multi site environment
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment.""The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain.""It is a complete ETL Solution.""The flexibility that Azure Data Factory offers is great.""An excellent tool for pipeline orchestration.""Data Factory's most valuable feature is Copy Activity.""The function of the solution is great.""One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."

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"It is fully featured. It has allowed me to do everything I wanted to do."

More JumpMind SymmetricDS Pros →

Cons
"There is no built-in pipeline exit activity when encountering an error.""On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels.""The solution can be improved by decreasing the warmup time which currently can take up to five minutes.""The solution needs to be more connectable to its own services.""DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution.""Lacks in-built streaming data processing.""Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters.""Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."

More Azure Data Factory Cons →

"The user interface could improve. We are looking at some cloud-based databases, and I don't think they support that."

More JumpMind SymmetricDS Cons →

Pricing and Cost Advice
  • "In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
  • "This is a cost-effective solution."
  • "The price you pay is determined by how much you use it."
  • "Understanding the pricing model for Data Factory is quite complex."
  • "I would not say that this product is overly expensive."
  • "The licensing is a pay-as-you-go model, where you pay for what you consume."
  • "Our licensing fees are approximately 15,000 ($150 USD) per month."
  • "The licensing cost is included in the Synapse."

    • More Azure Data Factory Pricing and Cost Advice →

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    Questions from the Community
    How do you select the right cloud ETL tool?
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Read all 2 answers   →
    How does Azure Data Factory compare with Informatica PowerCenter?
    Top Answer:Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up and… more »
    How does Azure Data Factory compare with Informatica Cloud Data Integration?
    Top Answer:Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power… more »
    Does JumpMind SymmetricDS support a large array of databases?
    Top Answer:Yes, it does. This data replication software works with many popular databases, allowing users to benefit from its services. What's more, it also works with many data warehouses, as well as streaming… more »
    Read all 2 answers   →
    Is JumpMind SymmetricDS easy to use for beginners?
    Top Answer:I didn't start with JumpMind SymmetricDS, I actually started using it at a job when I was a little more introduced to data replication. That made me able to see the good features this software has… more »
    Read all 2 answers   →
    Does JumpMind SymmetricDS provide frequent file synchronization?
    Top Answer:How often do you need for your data to be synchronized? I'm asking this because different companies use data replication for different purposes. Some use it as simply updating backup, others to give… more »
    Read all 2 answers   →
    Ranking
    1st
    out of 100 in Data Integration
    Views
    26,170
    Comparisons
    20,469
    Reviews
    46
    Average Words per Review
    489
    Rating
    8.0
    13th
    out of 31 in Data Replication
    Views
    289
    Comparisons
    181
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    SymmetricDS
    Learn More
    Microsoft
    JumpMind
    Overview

    Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

    JumpMind SymmetricDS is a powerful data replication software that provides synchronization software solutions for both databases and filesystems. This software is platform-independent and web-enabled as well as database agnostic. JumpMind SymmetricDS creates prompt bi-directional data replication while scaling to a large amount of nodes and working in close to real time across both WAN and LAN networks. This allows companies to integrate data using the feature for continuous change data capture.

    This data replication software allows companies with limited network bandwidth or bad connectivity to benefit from excellent cloud conditions. The greatest benefit of JumpMind SymmetricDS is its vast integration across databases, streaming platforms, and data warehouses. Some of the relational databases where this data replication software can be used include Oracle, PostgreSQL, MySQL, Sybase, Informix, Ingres, Tiber, and VoltDB. NoSQL databases like MongoDB, Apache Cassandra, and Azure Cosmos are also compatible with the JumpMind SymmetricDS data replication software. The data warehouses that are compatible with this software include Teradata, SAP HANA, Azure-SQL server by Microsoft, BigQuery, Amazon Redshift, Pivotal Greenplum, and Snowflake data warehouse. Providing coverage of so many databases and warehouses allows broad outreach of the JumpMind SymmetricDS across many different companies and users.

    JumpMind SymmetricDS Features

    JumpMind SymmetricDS offers many valuable features, including:

    • Easy setup and configuration processes: JumpMind SymmetricDS’s web interface allows even beginners to grasp its basic functions. There is an option for a configuration tour, which provides an explanation of how changes can be applied. This feature helps experienced specialists to operate faster while also providing guidance on usage for complete beginners.

    • Flexible data replication: Users can synchronize data across remote networks' nodes with low bandwidth usage, allowing their configuration as well as that of groups.

    • Monitoring and troubleshooting: JumpMind SymmetricDS users can access graphically visualized data replication through the main dashboard, allowing them to identify any errors and resolve them in a timely manner.

    • File synchronization: Users can run continuous or periodic synchronization of the copying their files between multiple nodes. The synchronization can wait during periods of downtime and resume once the network is available.

    • Performance and scaling: JumpMind SymmetricDS quickly synchronizes data with a large number of databases.

    Other features include tools for conflict detection and resolution, embedding and extending, filtering, subsetting, and transforming.

    JumpMind SymmetricDS Benefits

    The benefits of using JumpMind SymmetricDS include:

    • Ability to replicate thousands of databases and file systems in near real time
    • Support of a wide range of database platforms, data warehouses, and operating systems
    • Many value-added features

    Reviews from Real Users

    According to the CEO at a non-profit, JumpMind SymmetricsDS is fully featured and is also very easy to use and install. He finds it to be self-explanatory to use and says that their support is very good.

    Sample Customers
    1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
    SmartMD, Cancer Research UK
    Top Industries
    REVIEWERS
    Computer Software Company34%
    Insurance Company11%
    Manufacturing Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Retailer11%
    Financial Services Firm10%
    Manufacturing Company8%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise18%
    Large Enterprise64%
    Buyer's Guide
    Data Integration
    April 2024
    Download Free Report
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
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    Azure Data Factory is ranked 1st in Data Integration with 81 reviews while JumpMind SymmetricDS is ranked 13th in Data Replication. Azure Data Factory is rated 8.0, while JumpMind SymmetricDS is rated 9.0. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of JumpMind SymmetricDS writes "Excellent change data capture utility for distributed multi site environment". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas JumpMind SymmetricDS is most compared with Oracle GoldenGate, AWS Database Migration Service, SSIS, Confluent and FME.

    We monitor all Data Integration 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.