StreamSets, provider of the industry's first DataOps platform, today
announced a partnership with Databricks, the leader in unified data analytics,
to empower data teams with rapid, no-code development using Apache Spark and
Delta Lake for modern analytics and data science at scale.
"Delta Lake builds on our history of innovation by providing an
open-source storage layer for data lakes with support for transactions and
massive scale," said Pankaj Dugar, vice president of ISV and Technology
Partners, Databricks. "We are excited to partner with StreamSets and make Delta
Lake and Apache Spark even more accessible through their DataOps platform."
The joint solution of the StreamSets DataOps Platform and Delta Lake
on Databricks helps organizations apply a DataOps
mentality to their critical data science and advanced analytics projects.
Specifically, the StreamSets DataOps Platform makes it easy to ingest,
integrate and monitor data moving into Databricks by mitigating data drift and
operationalizing the process through its full life cycle. As a result, the
Databricks customer has more operational control, greater visibility and deeper
insights into data - all within a single, highly integrated solution. Further,
given StreamSets Transformer's unique, Spark-native approach to data
processing, even Spark non-experts can benefit from the power of Databricks.
With the combined approach, the two companies are enabling more data to be
delivered faster to drive analytics.
"This partnership with Databricks is key to expanding our solution
to new sets of Data and AI applications, as we're forming an alliance with a
company whose reputation as an innovator is unmatched," said Jobi George, GM of
Cloud Business at StreamSets. "Together, StreamSets and Databricks are bringing
the full power of Spark and the Databricks platform to a new spectrum of users,
easing the drive towards digital transformation."
The joint solution is
available immediately.