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Data Mapping Tools Comparison: DX Mapper vs The Rest

To effectively manage a plethora of applications or data sources, an organization needs a data conversion tool that can easily be used by all sorts of users ranging from core technical users to business analysts. Hence the need of the hour is to have a mapping tool that can do more than just a source to target mapping. It needs to have an intuitive interface, preferably a graphical one that requires no or minimum level of coding. There are multiple data mapping solutions which are native to their Integration Platform. Through the help of this blog, we would try to explain the differentiating factors of DX Mapper (a graphical no-code tool built using open source stack) from the other available data mapping tools currently present in the market.

So, are you ready to take up your data mapping requirements to the next level? If yes, read on!

 

Key Feature DX Mapper Others
Interface Functionality No-code, complete graphical interface Low code, needs writing of code/ script
Data Formats Supports all structured and unstructured formats Needs schema creation for some formats
Data Transformers Extensive set of Inbuilt data manipulation functions Basic data manipulation functions
Multi-Step Functions Supports complex mapping using a sequence of multiple data manipulation functions in a single function Only few tools/platforms support this
Block Component (Reusability of Mapping Components) Block function provides reusability Not available in any tool/platform
EDI support Supports multiple EDI formats out of the box, with click and enable feature Need to send a request to the product support to enable the schema
Preview Functionality Enables preview of mapping before test mode Mapping can only be reviewed during test mode

 

Let’s see each of these functions in detail-

1. Interface functionality – A no-code vs low code functionality of an interface plays a crucial role in data mapper utility. A no code tool will allow the business user, even with no technical expertise to create maps easily, whereas for a low code the functional user base is limited and requires knowledge of scripting language to do the mapping.

DX Mapper provides a powerful data mapping tool that completely works in a no-code environment for mapping tasks of any level of complexity. Mapping is done on an interactive dashboard through a simple drag and drop option which is fast, secure and efficient & provides great ease towards list mapping and handling level mismatches. Thus, any user can easily carry the data mapping quickly with minimum guidance and supervision.

 

2. Data Formats – A data mapper that supports multiple data formats not only saves time but also increases the efficiency of an integration process. DX Mapper supports all kinds of structured formats (Relational Databases, XML, JSON, EDI, IDOC, Flat files (fixed length and delimited), CSV, etc.) and unstructured formats (PDF, IoT streams, Emails, Social media, Website, etc.) The interface of DX mapper represents the structural data in a hierarchical tree structure, making it easier for the user to map from source to target structure.

3. Data Transformers – The inbuilt presence of data manipulation functions in a data mapper helps in faster implementation of integrations. DX Mapper comes with an extensive data manipulation functions such as string manipulation functions, mathematical functions, DateTime formatting, conditional functions, decode/encode, list and user-defined functions, with an ability to import functions/methods from custom libraries/jars.

4. Multi-step Functions – In a mapping process, sometimes a data field needs to have multiple manipulation functions applied to it before it gets mapped to the output field. DX Mapper provides the flexibility of implementing multi-step functions to a node using a single function. This makes the mapping process quicker and a user can manipulate the data fields accordingly at one go without creating multiple mappings.

5. Block Component (Reusability of Mapping Components) – Many times, some data fields share the same transformation logic. Instead of applying the transformation rule to each field individually, a user can avail the block feature of DX Mapper that allows clubbing such data fields in a single block, which can be supported with an expression too. This way the transformation can be applied to the blocks instead of individual data fields thus saving time and improving efficiency.

6. EDI support – DX Mapper supports standard EDI formats such as X12, EDIFACT, HIPAA, etc. A user can map by selecting appropriate EDI specifications with a click and enable feature. Users can customize EDI standard schemas per their requirements, along with applying custom code list values. Also, DX Mapper supports EDI parsing out of the box and comes at no additional cost.

7. Preview Functionality – When dealing with the mapping of hundreds and thousands of fields, business users need to intermittently check the progress of mapping done so far before testing it out completely at the end of mapping. DX Mapper allows preview functionality to check the current process mapping progress before the test mode. Hence, a user can make changes in case some fields are mapped incorrectly before completing the overall mapping. This not only saves time and gives control to the user to stay at the top of the mapping done by them.

With all these differentiating features explained above, DX Mapper stands out from the rest of the mapping tools available in the market. It is built using open source stack and truly empowers a business user to do mapping with utmost confidence and ease. It caters to all the mapping needs of any small or big organizations equally hence helping them to get closer to their integration goals.

To know more about DX Mapper and how it can partner with you in your integration pursuits, contact us!

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