Difference Between Talend vs Pentaho
Data is always massive, and any industry needs to store this ‘Data‘ as it carries immense information, which leads to strategic planning. Data must be secure just as one needs a house to feel safe. This home for data is technically referred to as a Data warehouse.
Also, not all data is accurate data. The growth of a business is directly proportional to the development of data. And this growth might take a hit on the efficiency of data. To eliminate this, data has to be free from duplicates and errors, as such data do not yield the desired results. This is where data integration is essential. When the data turns into accessible data, it makes the employee’s job much more manageable, letting him concentrate on effective planning and forecasting.
Once you have this data, it must be extracted from the system and further analyzed in an environment through various tools to meet business needs. These tools are generally referred to as ETL (Extract, Transform, and Load) tools, and Talend & Pentaho are two such ETL tools widely used across industries.
Before going deep, let us get the basics right here.
Below is a simple illustration of what the ETL tool means:
- Extract: Data is generally collected from compound databases. The function of ‘E’ is to read the data from sources.
- Transform: The ‘T’ function is quite challenging compared to ‘E’; however simple. It follows a simple process where the extracted data is adapted from its original form to the form it needs to be in (target) to engage with another database. Though the process seems simple, the procedure involves rules or lookup tables by merging and synchronizing from multiple databases.
- Load: The ‘L’ function follows just one route. To write the data into the target database.
It is an arduous task for an administrator to associate different databases without the help of any tool. Hence, these tools make jobs easy and save time and money.
Head to Head Comparison Between Talend and Pentaho (Infographics)
Below is the 8 comparison between Talend and Pentaho:
Key Differences Between Talend and Pentaho
Some key differences are explained below between Talend and Pentaho
Talend and Pentaho Kettle are impeccable tools in their own market; below are noticeable differences:
Talend:
- Talend is an open-source data integration tool, whereas Pentaho Kettle is a commercial open-source data integration tool
- Talend offers limited connectivity to concurrent databases and other forms of data. Still, it depends on Java drivers to connect to the data sources. In contrast, Pentaho offers a wide range of connectivity to extensive databases and other forms of data.
- Talend has its support, which exists in the US, whereas Pentaho’s support not only exists in the US but also targets the UK and Asia Pacific markets.
Although both Talend and Pentaho tools carry similar characteristics, one needs to understand the GUI in which Pentaho Kettle holds a slight advantage.
Below we see the salient characteristics and prominent offerings of the Pentaho Kettle to Talend:
- Pentaho kettle’s GUI is easier to run when compared to Talend’s GUI
- Adapts well to the system
- Can easily deal with different data clusters
- Cost of Ownership
Talend is more useful when there is an existing system where a Java program is already running/being implemented.
Listed below are the advantages of the Talend code generation approach
- Easy deployment (for standalone Java applications)
- Saves time
- Cost-effective
Anyone would agree to the fact that the entire purpose of implementing ETL tools is to help the entity make use of data integration to plan its strategies using various deployment models and infrastructures. These tools need to be flexible to both existing and target systems and deliver a wide range of delivery capabilities. Though Talend is an open-source data integration tool, one can benefit more from the tool if they avail of its subscription, which offers many more additional features.
Talend and Pentaho Comparison Table
Comparing Talend vs Pentaho Kettle is a challenging task. Not because of the challenges one toss to another but simply due to the similarities both tools offer each other
| Comparison | Talend | Pentaho Kettle |
| Approach | Code generating approach | Meta-driven approach |
| Deployment | The java file and Perl file can run on any external machine | A stand-alone java engine that runs on a machine that runs Java |
| Speed | Sluggish when compared to Pentaho | Runs briskly when compared to Talend |
| Risk | The risk level is equal when comparing Pentaho to another system. | The risk level is equal when compared to Talend |
| Data Quality (DQ) | Equips DQ features in Graphical User Interface (GUI) | Equips DQ features in GUI and also contains additional features |
| Monitoring | Comprises adequate monitoring tools and logging | Comprises adequate monitoring tools and logging |
| Community Support | Strong | Strong |
| Interface | Moderate | Moderate |
- Pentaho is a BI suite and uses a product called Kettle for ETL purposes
- Talend is following a code generator approach, which deals with Data management network
- Pentaho Kettle follows a meta-driven approach and also is an interpreter within the network
Conclusion
Both Talend vs Pentaho Kettle is robust, user-friendly, and reliable open-source tools. Talend is more like an answer to all the complex challenges we encounter with respect to data integration, data quality, and data management platform. Pentaho Kettle is more like a thick pad Business Intelligence suite, which is easy to use
As mentioned while illustrating a head-head comparison of both the tools, the outcome depends on the approach the end customer desires.
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