Devart Excel Add-ins vs. SAS/Access

Devart Excel Add-ins is really good for data comparison of one database table against another database table. There are plenty of times where the business users need help understanding with their Power BI data models are not connecting correctly and I use this tool to break down the differences between the tables they are trying to connect.

Incentivized

SAS/Access is well suited for companies who need to manipulate and analyze large databases and data-sets. It does the same thing as SQL, and if you already know basic SAS coding it is easier to pick up. SAS/Access works well with analyzing data from multiple data-sources at once, including large databases stored in external and virtual environments like Hadoop. Data can be easily reassembled from relational databases for use by the user. SAS/Access is not necessary if you are only pulling data from one database that you have the physical file for.

Incentivized

• Devart Excel Add-in supports connectivity with various databases - which really helps to customize and massage data.
• Since data is available in cloud, it is easily accessible everywhere.
• It can also be integrated with SSIS components making it possible to resolve complex problems.

Incentivized

• Secure connections to databases
• Managed access to databases and data
• Customized access to databases

Incentivized

• The data pump feature breaks sometimes
• The profile usage monitoring is slow
• The event profiler is delayed

Incentivized

• Syntax for the connection string can be tricky
• Specification of the data source driver can be tricky

Incentivized

I have always received excelled service working with SAS technical support. Additionally, the tool is used so widely that there are many online resources and use cases that allow you to see many other uses or support routes.

Incentivized

Devart Excel stacks up very well against its alternatives. It has significant advantages as it keeps getting an update. Features are very much suitable for smaller organizations. For larger organizations the features cannot be used directly because of the size of the company and more native requirements of IT software requirements.

Incentivized

Datastage might be the closest one. Being a full ETL tool, it's weird to compare both. Datastage might be more robust for extraction but it lacks the simplicity that the end users need for everyday data extract and analysis.

Incentivized

• The data compare option saves our dev team a lot of time
• The documenter feature is nice to use for explaining table definitions
• The event profiler is great for usage metrics

Incentivized

• Bring usable data together quickly for downstream consumption e.g. modelling and reporting.

Incentivized