New partnership eliminates data silos for
enterprises with Apache Kafka and Delta Lake
Confluent, Inc. (NASDAQ:CFLT), the data streaming pioneer, and
Databricks, the Data and AI company, today announced a major
expansion in their partnership that brings together Confluent’s
complete Data Streaming Platform and Databricks’ Data Intelligence
Platform to empower enterprises with real-time data for AI-driven
decision-making. New integrations between Confluent's Tableflow and
Databricks Unity Catalog will seamlessly govern data across
operational and analytical systems, allowing businesses to build AI
applications more efficiently.
Addressing the AI Data Challenge
Enterprises are rapidly building AI applications that require
reliable, real-time data for better decisions and customer
experiences. Yet, only 22 percent of enterprises are confident
their current IT infrastructure is able to support these new AI
applications. One of the major remaining hurdles they need to
overcome is the divide between operational systems where data is
generated and analytical systems where that data is turned into
insights. Because these tools exist in separate silos, different
teams, tools, and processes are applied between the two. The result
is that teams are unable to marry real-time data with other systems
in a meaningful way, and AI innovation on advanced use cases
becomes impossible.
“For companies to maximize returns on their AI investments, they
need their data, AI, analytics and governance all in one place,”
said Ali Ghodsi, co-founder and CEO, Databricks. “As we help more
organizations build data intelligence, trusted enterprise data sits
at the center. We are excited that Confluent has embraced Unity
Catalog and Delta Lake as its open governance and storage solutions
of choice, and we look forward to working together to deliver
long-term value for our customers.”
“Real-time data is the fuel for AI,” said Jay Kreps, co-founder
and CEO, Confluent. “But too often, enterprises are held back by
disconnected systems that fail to deliver the data they need, in
the format they need, at the moment they need it. Together with
Databricks, we’re ensuring businesses can harness the power of
real-time data to build sophisticated AI-driven applications for
their most critical use cases.”
Real-time Data, Ready for AI
To bridge the divide, Confluent and Databricks are announcing
new integrations to ensure real-time interoperability and empower
teams across the business to collaborate successfully. A
bidirectional integration between Confluent’s Tableflow with Delta
Lake and Databricks’ Unity Catalog, a unified and open governance
solution for data and AI, will provide consistent, real-time data
across operational and analytical systems that is discoverable,
secure, and trustworthy.
Delta Lake, an open-format storage layer pioneered by
Databricks, was originally developed for streaming use cases with
fast writes. It has become the most adopted lakehouse format,
proven out at a massive scale - processing over 10 exabytes of data
daily. Now, Tableflow with Delta Lake makes operational data
available immediately to Delta Lake’s rich ecosystem. Confluent and
Databricks customers will be able to bring any engine or AI tool
such as Apache Spark, Trino, Polars, DuckDB and Daft to their data
in Unity Catalog.
Further, custom integrations between Tableflow and Databricks’
Unity Catalog will ensure metadata - a critical enabler for AI
applications - is automatically applied to data exchanged between
platforms. This makes operational data discoverable and actionable
for data scientists and analysts working in Databricks while
ensuring analytical data is equally accessible and useful for
application developers and streaming engineers in Confluent.
Additionally, Confluent’s Stream Governance suite will provide
upstream governance and metadata to enhance fine-grained
governance, end-to-end stream lineage, and automated data quality
monitoring in Unity Catalog.
"Leveraging proximity to generation sources is a key factor not
just in the energy sector, but also in the field of data,” said Dr.
Dora Simroth, Head of Data and AI Engineering, E.ON Digital
Technology. “Confluent and Databricks are already essential
technologies in our Data and AI stack. These integrations will
allow our practitioners to work on a single source of well-defined
and timely data for both our operational and analytical plane. By
partnering, Confluent and Databricks open up a faster path for us
to build data and model-centric digital solutions.”
With these new capabilities, operational data from Confluent
becomes a first-class citizen in Databricks, and Databricks data is
easily accessible by any processor in the enterprise. The streaming
data topics that AI applications consume and the tables that data
analysts use will now have consistent views of the same real-time
data, enabling faster, smarter AI-driven decision-making across the
organization. This seamless integration between enterprise
applications, analytics, and governance is critical for AI
innovation at scale.
To learn more about the expanded partnership, read the blog from
Databricks CEO Ali Ghodsi and Confluent CEO Jay Kreps:
www.confluent.io/blog/confluent-and-databricks/
About Confluent
Confluent is the data streaming platform that is pioneering a
fundamentally new category of data infrastructure that sets data in
motion. Confluent’s cloud-native offering is the foundational
platform for data in motion—designed to be the intelligent
connective tissue enabling real-time data, from multiple sources,
to constantly stream across the organization. With Confluent,
organizations can meet the new business imperative of delivering
rich, digital front-end customer experiences and transitioning to
sophisticated, real-time, software-driven back-end operations. To
learn more, please visit www.confluent.io.
About Databricks
Databricks is the Data and AI company. More than 10,000
organizations worldwide — including Block, Comcast, Condé Nast,
Rivian, Shell and over 60% of the Fortune 500 — rely on the
Databricks Data Intelligence Platform to take control of their data
and put it to work with AI. Databricks is headquartered in San
Francisco, with offices around the globe and was founded by the
original creators of Lakehouse, Apache Spark™, Delta Lake and
MLflow. To learn more, follow Databricks on X, LinkedIn and
Facebook.
Forward-Looking Statements
This press release contains forward-looking statements within
the meaning of the Private Securities Litigation Reform Act of
1995. All statements other than statements of historical fact could
be deemed forward-looking, including without limitation statements
regarding expectations for the planned partnership between
Databricks and Confluent, including anticipated benefits, features,
and use cases for customers and AI applications. These
forward-looking statements are subject to known and unknown risks,
uncertainties, assumptions, and other factors that may cause actual
results or outcomes to be materially different from any future
results or outcomes expressed or implied by the forward-looking
statements, including those described from time to time in
Confluent’s filings with the Securities and Exchange Commission.
Except as required by law, Confluent undertakes no obligation, and
does not intend, to update these forward-looking statements.
Any unreleased services or features referenced in this
announcement are not currently available and may not be made
generally available on time or at all, as may be determined in
Confluent’s and Databricks’ sole discretion. Any such referenced
services or features do not represent promises to deliver,
commitments, or obligations of either Confluent or Databricks and
may not be incorporated into any contract. Customers should make
their purchase decisions based upon services and features that are
currently generally available.
View source
version on businesswire.com: https://www.businesswire.com/news/home/20250211987246/en/
Media Contacts Confluent Kerry Tuttle
pr@confluent.io
Databricks Grace Lynch press@databricks.com
Confluent (NASDAQ:CFLT)
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