Tableflow makes it easier to convert streaming
data to Apache Iceberg® tables to feed data warehouses, data lakes,
and analytics engines
Fully managed connectors are enhanced with
secure connectivity to private endpoints and a max 99.99% uptime
SLA at a lower price
Stream Governance activates key data governance
features automatically for all Confluent Cloud customers for safer
sharing and scalability
Confluent, Inc. (NASDAQ: CFLT), the data streaming pioneer,
announced exciting new Confluent Cloud capabilities making it
easier for customers to stream, connect, govern, and process data
for more seamless experiences and timely insights while keeping
their data safe. Confluent Tableflow easily transforms Apache
Kafka® topics and the associated schemas to Apache Iceberg® tables
with a single click to better supply data lakes and data
warehouses. Confluent’s fully managed connectors have been enhanced
with new secure networking paths and up to 50 percent lower
throughput costs to enable more complete, safe, and cost-effective
integrations. Stream Governance is now enabled by default across
all regions with an improved SLA available for Schema Registry,
making it easier to safely adjust and share data streams wherever
they’re being used.
For companies to make decisions that optimize costs, boost
revenue, and drive innovation, it requires connecting the
operational and analytical estates of data, which are traditionally
siloed in organizations. The operational estate includes the SaaS
applications, custom apps, and databases that power businesses such
as Oracle, Salesforce, and ServiceNow. The analytical estate
includes data warehouses, data lakes, and analytics engines that
power analytics and decision-making and use data streams and
historical tables to run queries and different analytical
functions.
"The critical problem for modern companies is that operational
and analytical estates must be highly connected, but are often
built on point-to-point connections across dozens of tools,” said
Shaun Clowes, Chief Product Officer at Confluent. "Businesses are
left with a spaghetti mess of data that is painful to navigate and
starves the business of real-time insights."
Many organizations turn to Kafka as the standard for data
streaming in the operational estate, and to Iceberg as the standard
open table format for data sets in the analytical estate. Using
Iceberg, companies can share data across teams and platforms while
keeping tables updated as the data itself evolves.
Companies using Kafka want to utilize Iceberg to meet the rising
demand for both streaming and batch-based analytics. As a result,
many companies must execute complex migrations which can be
resource-intensive, resulting in stale and untrustworthy data and
increased costs.
“Open standards such as Apache Kafka and Apache Iceberg are
popular choices for streaming data and managing data in tables for
analytics engines," said Stewart Bond, Vice President of Data
Intelligence and Integration Software at IDC. "However, there are
still challenges for integrating real-time data across operational
databases and analytics engines. Organizations should look for a
solution that unifies the operational and analytical divide and
manages the complexity of migrations, data formats, and
schemas."
Tableflow makes it easier to feed data warehouses and data
lakes for analytics
Tableflow, a new feature on Confluent Cloud, turns topics and
schemas into Iceberg tables in one click to feed any data
warehouse, data lake, or analytics engine for real-time or batch
processing use cases. Tableflow works together with the existing
capabilities of Confluent’s data streaming platform, including
Stream Governance features and stream processing with Apache
Flink®, to unify the operational and analytical landscape.
Using Tableflow, customers can:
- Make Kafka topics available as Iceberg tables in a single
click, along with any associated schemas
- Ensure fresh, up-to-date Iceberg tables are continuously
updated with the latest streaming data from your enterprise and
source systems
- Deliver high-quality data products by harnessing the
power of the data streaming platform with Stream Governance and
serverless Flink to clean, process, or enrich data in-stream so
that only high-quality data products land in your data lake
Tableflow is currently available as part of an early access
program and will soon be available for all Confluent Cloud
customers.
More New Confluent Cloud
Innovations
Connect brings new security, usability, and pricing
enhancements to a portfolio of 80+ fully managed connectors
To build a central nervous system for a business, users have to
be able to connect all of their data systems to capture continuous
data streams. Connectors address the challenges of traditional data
architectures that can silo data, decrease data quality, and lead
to unplanned downtime. Connectors do this by seamlessly connecting
data systems and applications as sources and sinks to Confluent
Cloud. Confluent continues to add enhancements to connectors, a
critical component of the data streaming platform, so that more
users can experience fast, frictionless, and secure
integrations.
With new upgrades to Connect, Confluent customers can:
- Connect securely to critical data systems in private
networks using DNS Forwarding and Egress Access Points
- Provision connectors reliably in seconds with real-time
configuration validations and a 99.99% uptime SLA
- Stream data affordably at any scale with up to 50%
reduced data transfer costs of $0.025/GB
Unlocking the full value of real-time data requires widespread
connectivity with each of the data systems and applications running
your business. Built together with our technology partners, the
Connect with Confluent (CwC) partner program expands the data
streaming ecosystem by providing easy access to fully managed data
streams directly within the tools where teams are already working.
This helps to simplify the development of real-time data products
to share throughout the business.
Since CwC’s launch last July with 17 technology partners, the
program has seen massive growth with more than 40 partner
integrations now included in the program. This quarter, CwC added
new partners including Advantco, Aklivity, Arroyo, Asapio, Census,
EMQX, Kinetica, Nstream, Redis, SingleStore, Squid, and
Superblocks—all having built new Confluent integrations within
their applications.
Stream Governance improvements increase availability and
reliability
Given today’s increased focus on governance and compliance,
Confluent is making it simpler for customers to take advantage of
key Stream Governance features. Now all Confluent Cloud customers
will have Stream Governance automatically enabled in their
environments, providing easy access to key features including
Schema Registry, Data Portal, real-time Stream Lineage, and more,
with support in all Confluent Cloud regions.
Schema Registry is a crucial component for governing data
streams, helping teams enforce universal data standards to ensure
data quality and data consistency while reducing operational
complexity. The schemas stored in Schema Registry must be
accessible to teams at all times, since any issues could lead to
data compatibility errors and increased troubleshooting costs. To
minimize these risks, Stream Governance Advanced now offers a
99.99% SLA for Schema Registry so organizations can avoid
disruptions to critical workflows and manage compliance concerns.
In addition, with Stream Governance features integrated into
Tableflow, the benefits of improved uptime SLA for Schema Registry
will soon be extended to Iceberg tables.
Enterprise clusters deliver more cost savings on more
clouds
Confluent recently announced new Enterprise clusters with the
same benefits as other Confluent Cloud clusters – including an
industry-leading 99.99% SLA and a full ecosystem of
enterprise-grade tools – plus enhanced security with private
networking. This enables teams to uphold stringent security and
networking requirements while simultaneously optimizing resources
and cost-efficiency. Enterprise clusters automatically scale based
on the workload with no manual intervention required. With new
advancements in Kora, Enterprise clusters can offer even more cost
savings with a lower entry point and reduced throughput costs on
both AWS and Microsoft Azure.
Learn more at Kafka Summit London 2024
Join the Confluent leadership team as they share their vision of
streaming data products built by using Apache Kafka at the Kafka
Summit London keynote on Tuesday, March 19, 2024, at 10:00 am GMT.
Register here for free livestream access. A replay of the keynote
presentation will be available here.
No financial updates will be provided at the keynote. Confluent
considered the product pricing changes announced in this release
and at the keynote in its financial outlook for the first quarter
of 2024 and fiscal year 2024, announced on February 7, 2024.
Additional resources
- Read the Tableflow launch blog
- Read the Q1 ‘24 launch blog
- Register for the Q1 ‘24 Launch demo webinar
- Start your free trial of Confluent Cloud. No credit card
required
- Ask our Professional Services experts for faster adoption
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 backend operations. To
learn more, please visit www.confluent.io.
Confluent and associated marks are trademarks or registered
trademarks of Confluent, Inc.
This press release contains forward-looking statements,
including among other things, statements regarding product pricing
updates and our financial outlook, demand for Apache Iceberg, the
benefits, performance, features and use cases of Tableflow,
Connect, Stream Governance, and Enterprise clusters, and the
adoption of Confluent’s data streaming platform. The words
“believe,” “may,” “will,” “ahead,” “estimate,” “continue,”
“anticipate,” “intend,” “expect,” “seek,” “plan,” “project,” and
similar expressions are intended to identify forward-looking
statements. These forward-looking statements are subject to risks,
uncertainties, and assumptions. If the risks materialize or
assumptions prove incorrect, actual results could differ materially
from the results implied by these forward-looking statements.
Except as required by law, Confluent assumes no obligation to and
does not currently intend to, update any such forward-looking
statements after the date of this release.
View source
version on businesswire.com: https://www.businesswire.com/news/home/20240319942072/en/
Media Contact Natalie Mangan pr@confluent.io
Investor Contact Shane Xie investors@confluent.io
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