We have just publicly released version 13.8.0 of the Ataccama ONE Gen2 Platform.This is a minor release and contains new features and bug fixes across the whole platform. See Ataccama 13.8.0 Release Notes for the full list of new features and bug fixes.DownloadsDownload the latest version of your products from our Downloads page.UpgradingONE RDM and MDMAs part of this release, we are also sharing upgrade and installation guides. The support team is ready to help with installation and upgrade issues.Installation and upgrade services for your solution are not covered by the support or maintenance contract, but our experienced team is ready to help with remote upgrades. Contact us to get a quote and expected timing.ONE Data Quality and Data Governance SuitesIf you wish to migrate to the new generation, or if you wish to upgrade to a new release of v13 of the Ataccama Data Quality and Governance suites, an upgrade path will be provided for all existing customers. Please contact your accoun
What’s NewWidgets and stories now load 4 times faster. Stories with hundreds of steps no longer crash the browser and are rendered within milliseconds. Insights now automatically select and pre-fill the date. Dataset column names are limited to 64 characters. Longer names will be truncated.What We ImprovedWe fixed the color picker in sparkline doughnut charts. You can now delete filters again. Bar chart labels no longer overlap. The legend in bar charts is now correctly displayed.https://datastories.ataccama.com/publish/public/27e0c4e0-a46a-4150-b929-7d83116d8142
Ataccama is known and appreciated by our customers for complex, big deployments where massive amounts of data are processed. We were one of the first to support MapReduce and Spark as native pushdown and enable distributed processing across different cluster nodes.Ataccama’s engine works with the major of enterprise data sources and processes them to provide valuable insight, such as statistics of the data, detection of domains, and data quality.To provide the best experience for our customers that use Snowflake, we developed a tighter integration between our technologies. Specifically, we use the Snowflake data processing capabilities in a pushdown manner which means that data is processed directly on Snowflake.The key advantages of this integration are:Lower data transfer costs for the client. Snowflake’s computational capabilities deliver results faster because of reduced IO operations. Customers don’t incur additional costs to maintain external systems for Big Data. Improved securi
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