Data Integration Image by Gerd Altmann from Pixabay Precisely has achieved the Amazon Web Services (AWS), Relational Database Service (RDS) ready designation for data integration. It means that the Precisely Connect data integration solution has been successfully integrated with Amazon RDS. The announcement has been made at AWS re:Invent, which is being held in Las Vegas.

analytics, there are integrations  to other sources
Eric Yau, COO at Precisely

Eric Yau, chief operating officer at Precisely said, “Precisely is proud to achieve AWS Service Ready Product designation, signifying that Precisely Connect meets the high bar that AWS sets for best practices.

“Our mutual customers can now confidently use data from their current systems on AWS – unlocking its true potential and fuelling powerful business insights with advanced analytics.”

What does AWS RDS Ready mean?

The AWS RDS Ready designation means that a vendor has shown that its products work with specific AWS services. In the case of Precisely, it is about data integration. It is an area where companies are spending a significant amount of time and money.

Companies are no longer working with just a small set of on-premises tools with access limited to just a few people. Instead, they are taking advantage of a much larger set of tools and services to help them deal with the growing and complex amount of data that they have. But to take advantage of those new services and tools, they need to get data from the silos in which it currently lives.

This is where Precisely comes in. Its focus on data integrity means that its tools enable the movement of data without any loss of fidelity. Precisely Connect already supports a wide range of sources and targets for moving data, including:

  • Mainframe data: VSAM, IMS, COBOL copybooks, mainframe fixed and sequential files
  • RDBMS: Oracle, SQL Server, Db2 for z/OS, Db2 for i, Db2 for LUW, MySQL, Sybase, PostgreSQL
  • Semi-structured data: JSON, XML
  • Enterprise data warehouses: Teradata, IBM Netezza, Vertica, Greenplum
  • Cloud platforms: Amazon AWS, Microsoft Azure, Google Cloud Platform
  • Cloud analyticsAzure Synapse AnalyticsClouderaDatabricksSnowflake
  • Big data: Hadoop, Hive, Impala, Apache Avro, Apache Parquet, Apache Spark
  • Streaming platforms: Apache Kafka
  • Flat files: Fixed length, variable length, delimited.

Forging a closer partnership with AWS

This announcement comes a day after Precisely announced it was working with AWS to help power mainframe modernisation. That announcement focused on getting data from mainframes into AWS in real-time, where it can be used by a large set of AWS services.

Many of those services are not yet listed on the Precisely Connect page. It is likely that all those services will soon be added to that list above.

AWS has also announced its zero-ETL programme, where it wants to eliminate the manual use of ETL for moving data into its services and products. It will be interesting to see if Precisely adds that support to its Connect product. If it does, then it will position Connect as a key tool for companies as they widen their use of AWS services. Such a move would be good news for Precisely and will open the door to other possible integrations between the two vendors.

Enterprise Times: What does this mean?

Being part of a wider ecosystem is always good for a technology vendor. It widens the customer pool and helps make their tools more attractive to many companies.

In this case, the award seems to be more about Precisely doing what it has been doing for years. All it has done is widen the number of AWS services that it supports, although the product page will need to be updated to give a better view of what is now being added.

For existing Precisely customers, this is a positive announcement. It means they now have seamless access to a wider set of data services to do a deeper analysis of often complex and disparate data sets. It also means they don’t have to learn a new product or reskill their key data teams.


Please enter your comment!
Please enter your name here