Try our new research platform with insights from 80,000+ expert users

HiT Software DBMoto vs Talend Data Integration comparison

 

Comparison Buyer's Guide

Executive Summary

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
2
Ranking in other categories
Data Replication (24th)
Talend Data Integration
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
8
Ranking in other categories
Cloud Data Integration (19th), Integration Platform as a Service (iPaaS) (14th)
 

Featured Reviews

reviewer1077405 - PeerSpot reviewer
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.
Mubahir Rashid - PeerSpot reviewer
Offers flexibility and ease of integration while needing improvements in data flow management
I haven't worked with Talend Data Integration on real-time data processing; I have only seen the streaming component, and I think it can accommodate limited streaming, not at the level of larger big data platforms. Regarding ETL, Talend Data Integration is great, but concerning real-time data processing, people are not really sure about Talend Data Integration or might not know how it provides such types of flexibilities. I haven't worked on this aspect in Talend Data Integration, so this is definitely an area where it lacks. To elaborate on one drawback, if I am designing something in Talend Data Integration, I cannot backtrack in the flow. For example, if I read data from a source and transform it before applying complex aggregation in the third step, I cannot join this data with the second step. If I need to go back, I will have to use a memory component, or if I need to avoid memory consumption, I will have to read the data from step one again to join it with the third step.

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."
"Flexibility is a key feature I appreciate about Talend Data Integration, especially the integration of Java within it and the ease of integrating with multiple source repositories such as GitHub and Bitbucket."
"Talend's most valuable feature is its ability to generate code and packages efficiently."
"We have multiple use cases for this solution. We integrate with Salesforce, SAP and Oracle databases to build business logic and provide reporting."
"Talend Data Integration has positively impacted my organization because it is used for master management data, which I think most other components lack, but Talend Data Integration has that capability for using master management data as standard data."
"Talend Data Integration has had a measurable impact on our organization by automating daily data loading processes, reducing manual effort by around three or four hours per day, improving data accuracy with error rates dropping by more than 70%, and enabling reporting teams to receive fresh data at least 50% faster for earlier and more confident decision-making."
"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 best feature of Talend Data Integration is its multiple data DB components; we have almost all the components and also cloud versions, with TMC allowing us to perform data preparation and data stewardship."
"Talend Data Integration has had a measurable impact on our organization by automating daily data loading processes, reducing manual effort by around three or four hours per day, improving data accuracy with error rates dropping by more than 70%, and enabling reporting teams to receive fresh data at least 50% faster for earlier and more confident decision-making."
 

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."
"Due to using the open-source version of Talend Data Integration, which lacks a scheduler, our current approach involves developing jobs in Talend, exporting them as Java packages, and utilizing an external scheduler, such as Windows Scheduler, to manage the scheduling process."
"Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license."
"Processing large volumes of data sometimes consumes a lot of resources."
"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."
"The product's setup process could be simpler."
"If I am designing something in Talend Data Integration, I cannot backtrack in the flow. For example, if I read data from a source and transform it before applying complex aggregation in the third step, I cannot join this data with the second step."
"Processing large volumes of data sometimes consumes a lot of resources."
"Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license."
 

Pricing and Cost Advice

"Customers pay a license fee yearly."
"I found the price to be quite reasonable."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"I have been using the open-source version."
report
Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
869,760 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
15%
Computer Software Company
11%
Comms Service Provider
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise4
 

Questions from the Community

Ask a question
Earn 20 points
What do you like most about Talend Data integration?
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.
What is your experience regarding pricing and costs for Talend Data integration?
The product pricing is considered very good, especially compared to other data integration tools in the market.
What needs improvement with Talend Data integration?
I haven't worked with Talend Data Integration on real-time data processing; I have only seen the streaming component, and I think it can accommodate limited streaming, not at the level of larger bi...
 

Also Known As

DBMoto
Talend Cloud Integration, Talend Integration Cloud, Talend Cloud Remote Engine for AWS
 

Overview

 

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
ACCOR, ADR, L'OREAL, AstraZeneca
Find out what your peers are saying about HiT Software DBMoto vs. Talend Data Integration and other solutions. Updated: September 2025.
869,760 professionals have used our research since 2012.