HiT Software DBMoto vs Qlik Talend Cloud comparison

HiT Software and Qlik are both solutions in the Cloud Data Integration category. Additionally, 100% of HiT Software users are willing to recommend the solution, compared to 88% of Qlik users who would recommend it.

HiT Software DBMoto

Read 2 HiT Software DBMoto reviews

583 Views
152 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Read 54 Qlik Talend Cloud reviews

6,400 Views
1,472 Comparison Views

88% willing to recommend

HiT Software DBMoto

Qlik Talend Cloud

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Executive Summary

We performed a comparison between HiT Software DBMoto and Qlik Talend Cloud based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed HiT Software DBMoto vs. Qlik Talend Cloud Report (Updated: December 2025).

Buyer's Guide

HiT Software DBMoto vs. Qlik Talend Cloud

December 2025

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Helped 881,114 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

HiT Software DBMoto

Average Rating

9.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Replication (21st)

Qlik Talend Cloud

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (9th), Data Quality (3rd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (9th), Integration Platform as a Service (iPaaS) (9th)

Featured Reviews

reviewer1077405

Works at a government with 1,001-5,000 employees

Replication monitor feature is helpful in that it allows a quick view of the status, errors, and results of the last replication

We appreciate the ease of use in this solution. It looks like File Explorer, where you set up your source and targets. Replications are created simply by using the replication wizard. It also has functionality for scheduling, verification, and alerts. The ability to write code for transformations is very useful. Once the replications are set up it is simple to maintain. The Replication monitor is helpful in that it allows a quick view of the status, errors, and results of the last replication. Replication logs and history files are very useful for determining problematic data issues. The transaction latency tool is also helpful for determining how many connections are required for larger files. The replication types that are available are: Refresh Only, Continuous, and Synchronization. We currently use Refresh Only (scheduled refreshes), and Continuous. The source and target table verification is very helpful for running checks. The Replication Monitor is also a great plus, which shows a quick view of the replication status.

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Herivao Jus Winny

IT Consultant at a tech services company with 201-500 employees

Has automated recurring data flows and improved accuracy in reporting

The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable features are that is easy to install and it is user-friendly."

"DBMoto was very simple to set up and move our tables to the Oracle DB."

"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."

"We can develop our own code if we do not see the functionality we need."

"The most valuable feature is the data loading and scripting language"

"The process of upgrading the software is quite easy."

"The product's integration with PostgreSQL and Jira has been helpful for us. Its performance is good. However, we do not use it for large data sets."

"The availability of connectors is great."

"I think Talend is one of the easiest tools for faster implementation compared to other tools."

"We have used value frequency and patterns. We have been it impressed with these functions as they have helped us in making decisions in transformation work."

More Qlik Talend Cloud pros

Cons

"Pricing is an area that needs improvement."

"This product would be improved with additional built-in functions for simpler date conversion, as well as for data type transformations."

"The product's setup process could be simpler."

"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."

"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."

"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced."

"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling. With Talend DQ, I cannot generate any reports today, so I need an ETL tool. It provides general Excel files, or I have to create some views. If instead of buying a new tool, Talend provides a reporting capability or solution, it would be great. It will reduce the development effort for creating these kinds of reports. We also manage the infrastructure for Talend. From the licensing perspective, for cloud, they only have seat licenses where one person is tied to one license, but for on-premise, they have concurrent licenses. It would be really awesome if they can provide concurrent licenses for the cloud so that if one person is not there, somebody else can use that license. Currently, it is not possible unless a person deactivates his or her license and moves the same seat license to someone else. We are one of the biggest customers in the central zone of the US for Talend, and this is the feedback that we have provided them again and again, but they come back and say that they aren't able to provide concurrent licenses on the cloud. In version 7.3, there is a feature for tokenization and de-tokenization of data. This is the feature that we are looking for. It is useful if somebody wants to see what we have masked and how do we demask it. This feature is not there in version 7.1. There are also a few other capabilities on the cloud, but we don't yet have a big footprint in the cloud."

"Sometimes there are bugs which are unidentified and we have to follow-up with the Talend team to resolve them. In a critical situation, it takes time for them to update patches."

"Processing large volumes of data sometimes consumes a lot of resources."

"You can't join more than two tables for analysis."

More Qlik Talend Cloud cons

Pricing and Cost Advice

"I found the price to be quite reasonable."

"Customers pay a license fee yearly."

"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."

"I have been using the open-source version."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."

"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."

"License renewal is on a yearly basis."

"The solution's pricing is very reasonable and half the cost of Informatica."

"The licensing cost is about 40,000 Euros a year."

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

13%

Computer Software Company

10%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	11
Large Enterprise	20

Questions from the Community

Ask a question

Earn 20 points

What do you like most about Talend Data Quality?

The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.

See all answers

What needs improvement with Talend Data Quality?

I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...

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What is your primary use case for Talend Data Quality?

It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...

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Comparisons

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Compared 27% of the time

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Compared 20% of the time

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Pentaho Data Integration and Analytics vs HiT Software DBMoto

Compared 19% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs HiT Software DBMoto

Compared 15% of the time

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Compared 7% of the time

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Compared 4% of the time

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Compared 3% of the time

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Compared 3% of the time

SAP Data Services vs Qlik Talend Cloud

Compared 2% of the time

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Product Reports

Buyer's Guide

Data Replication

January 2026

Download HiT Software DBMoto product report

Buyer's Guide

Qlik Talend Cloud

January 2026

Download Qlik Talend Cloud product report

Also Known As

DBMoto

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance

Overview

HiT Software DBMoto provides an optimal data replication and Change Data Capture solution based on open standards, which enables an IT crew or systems integrator to implement cost-effective, extensible solutions across heterogeneous databases, high-speed analytic systems/platforms and Cloud-based systems

HiT Software

Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.

Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.

What are the key features?

Seamless Real-Time Data Access: Ensures that users can access the latest information across systems without delays for better decision-making.
Java Integration: Facilitates smooth incorporation of Java components into workflows, broadening development options.
Custom Code Development: Offers flexibility to develop tailored solutions to meet specific integration scenarios.
Vast Connectors: Enhances connectivity between multiple platforms, supporting comprehensive data integration strategies.
Central Repository: Allows for uniform metadata access across departments, promoting cohesive data management practices.
Automation and Monitoring: Streamlines workflows with advanced automation and monitoring, reducing manual intervention and errors.

What benefits and ROI should users evaluate?

Improved Data Quality: Tools for data matching and error handling ensure high-quality, reliable data for analytics and reporting.
Efficient Workflow Streamlining: Drag-and-drop interfaces and automation features simplify complex workflows, enhancing operational efficiency.
Enhanced Business Insights: By integrating diverse data sources, businesses can derive deeper insights and ensure compliance through better data management.
Cost Management: Although some users find licensing expensive, comprehensive feature sets aimed at improving data processes can justify costs.
Community Support: Users benefit from active community forums that provide assistance, although technical support also necessitates enhancements.

In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.

Qlik

Sample Customers

JAS Forwarding Worldwide, Animal, Financiera Pagos Internacionales C.F., Bur de Credito, Qualitas-IT, EFCO Corporation, Andrews Consulting, ASL Modena, BancAssurance Popolari S.p.A., Banco BICSA, Cheshire County Council, Epson Precision, Ferrari North America

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

HiT Software DBMoto vs. Qlik Talend Cloud

December 2025

Free Report: HiT Software DBMoto vs. Qlik Talend Cloud

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