Adeptia Connect vs. Talend Data Fabric

I recommend the program for an advanced stage, it is not a program for small companies, it is a program for medium or large companies where you know about data and its flow in which you need to make the leap to a 3.0 level of the same.I could immediately recommend it to colleagues for its great storage capacity and agile control.

Incentivized

Truly trusted contact center where the effective solution is always guaranteed. It is not a one-off fix to a specific data integration or management problem. It is a permanent and scalable solution to manage all of your data under a unified environment. Easy to use, great performance, used it for our internal data warehouse. Easy to build and connect to our data sources such as Salesforce, Netsuite, and Marketo.

Incentivized

• End users can set up pipelines within Gap to connect without having to use professional services.
• Users can simply select a particular template.
• Let's say that data integration calculates and configures a data flow very easily.

Incentivized

• Generated optimized code for building data pipelines.
• Ingested and integrated data from both On-Premises and Cloud environment.
• Created roles for data cleansing, or need to trace data lineage to ensure compliance and integrity.

Incentivized

• Support only in english and not always reactive.

Incentivized

• Hadoop-related and big data components need to be rewritten and improved by Talend.
• The exception handling is not convenient. You can either let go of the exception or stop the process or use an external controller to resume the applications. But you cannot customize the try-catch block of the exception itself.
• Sometimes you have to use "Ctrl" sometimes "Cmd" is really badly done. In my experience the speed of learning clashes with the consumption of resources and the slowness of the interfaces. An interface made in pure Java requires more time to implement but is definitely more performing.

Incentivized

We mainly choose Adeptia Connect for the friendly UI. From the first minutes, it was really easy to use and understand how it works and then manages complex connections.

Incentivized

1) Talend offers more than 200 palettes, but most of them are repeated. For Example in Pentaho, we can use a single component ( Microsoft Excel input ) and we can get the data, sheet name, file name, and all other things like using a wildcard, etc. 2. Talend is an open-source tool that makes it easily accessible.

Incentivized

• The user can set up the whole template and then enter the data or we simply have to connect that data by making use of connections from an account through an API.
• We can do reference lookups in the database to further enhance it before sending it to the data link and as part of this process flow
• We can attach by taking up a little bit of time or batch and this can be a multi-directional process. So I needed this data transformation

Incentivized

• Open source
• Full of transformations to support different scenarios
• Integration support with Big Data and MDM.

Incentivized