Increase in Customer Demand Validates Arcadia Data Innovation Around Native Visual Analytics on Real-Time Streaming Data

By Ahmit Dhingra | October 16, 2018

Adoption of Arcadia Data for Streaming Analytics Underscores the Arcadia Data Position as a Market Leader in Turning Data Into a Strategic Asset

SAN MATEO, Calif. — Oct. 16, 2018 — Arcadia Data, provider of the first visual analytics software native to Apache Hadoop® and the cloud, continues its momentum as a leader in empowering business users to perform analytics and BI on streaming data, quickly. Arcadia Data has experienced ongoing growth in customers and use cases for visualizations on streaming data. This underscores a broader market demand for solutions capable of unlocking the value of IoT analytics in Apache Kafka, Apache Kudu, and other leading technologies for managing real-time data. According to 451 Research, the high-growth Event/Stream Processing subsector of the Total Data market will grow at a CAGR of 19.7 percent between 2017 and 2022.

The need for faster responses to business operations, cyber attacks, and rapidly-changing market conditions requires organizations to create a more agile and real-time data architecture. As a result, Arcadia Data has seen an uptick in customer use cases tapping into streaming data for faster insights, a trend that will only continue as momentum behind streaming analytics picks up. Recent — but not exhaustive — examples include:

  • An Arcadia Data customer is reporting network usage data in real time to ensure high performance and thus higher customer satisfaction and retention.
  • A telecommunications customer uses real-time analytics to quickly identify spam and minimize intrusion on customer accounts.
  • A retail customer monitors production and delivery in real-time to ensure competitive advantage in a market where consumers can easily switch to another store.

“At Arcadia Data, we have worked hard since our inception to enable business users to quickly analyze data with no data movement and minimal IT intervention,” said Sushil Thomas, CEO and co-founder, Arcadia Data. “As the rush to incorporate AI and analyze data streams in real time increases in intensity, organizations are looking for easier ways to gain a competitive edge. As this swell has grown, we have also seen an increase in customers using Arcadia Enterprise to perform native visual analytics on real-time streaming data. This momentum highlights the fact Arcadia Data is solving a complex market problem and is empowering organizations to leverage data as a strategic asset.”

Dynamic Data Conditions Warrant Investment in Streaming Analytics Technology
“As we have moved from the transactional era, through the interaction era, to the engagement era, enterprises are increasing their investment in data processing and analytics in order to meet the on-demand expectations of customers,” said Matt Aslett, research vice president, data, AI and analytics, 451 Research. “Creating differentiation increasingly relies on the continuous integration and analysis of streaming data from IoT devices, social media feeds and interactive applications. We anticipate growing demand for stream processing as well as analytics technologies designed specifically to visualize and generate insight from streaming data as demand for real-time business operations grows.”

Streaming data presents a growing opportunity for organizations that can effectively and quickly analyze the information. Arcadia Enterprise integrates with Confluent KSQL and offers the first native visual analytics for Apache Kafka.The joint solution provides business users advanced visualizations for streaming data use cases, specifically around alerts, time-based data exploration, and drill downs. With these capabilities, Arcadia Enterprise users can more easily query real-time data combined with historical data in consolidated dashboards. Unlike legacy business intelligence tools, Arcadia Enterprise does not require manual refreshes, so users get continual updates on the live data. For organizations wishing to capture streaming data as a true business asset, Arcadia Data brings the power of self-service BI and analytics to all users on big, streaming data.

Streaming Data Analytics Requires a Visual Approach
Visualizations are emerging as a key component for streaming analytics, particularly to provide real-time insights to non-technical business users. KSQL enables this opportunity by applying a well-known technology, SQL, to the newer context of streaming data. At Kafka Summit in San Francisco, Arcadia Data CTO and co-founder, Shant Hovsepian will explain various aspects of using SQL on streaming data by showing visual representations of the different semantics provided.

  • Hovsepian’s discussion, “A Visual Approach to Understanding Streaming SQL,” will take place Tuesday, October 16 at 11:55 a.m. PDT.

As Demand for Streaming Analytics Grows, Leaders Seek Out Robust Solutions
In order to turn data streams into a strategic asset, organizations must leverage tools that will scale with their data volume as they grow. To help leaders make more informed decisions about their streaming data architectures, Arcadia Data will participate in a webinar: “How Bell Canada and Twilio Succeed with Scaling Real-Time Analytics.”

  • The webinar will examine how enterprises can make real-time analytics easily and quickly accessible to multiple business teams in order to build a competitive advantage and deliver great customer service at scale.
  • Several data analytics experts from Cloudera, Bell Canada, and Twilio will discuss business needs and use cases for scaling real-time analytics, best practices for building enterprise data architectures for scale and speed, and how organizations can enable self-service BI and analytics on fast-changing data in log data warehouses.
  • The webinar will take place October 24, at 10:00 a.m. PDT. Registration link above.

See Arcadia Enterprise in action by registering for a live demo or reading more about streaming visualizations.

About Arcadia Data
Arcadia Data provides the first visual analytics and BI platform native to big data that delivers the scale, performance, and agility business users need to discover and productionize real-time insights. Its flagship product, Arcadia Enterprise, was built from inception to run natively within big data platforms, in the cloud and/or on-premises, to streamline the self-service analytics process on data in Apache Hadoop®, Apache Spark®, Apache Kafka®, and Apache Solr®. It enables real-time, high-definition insights in use cases like data lakes, cybersecurity, connected IoT devices, and customer intelligence. Arcadia Enterprise is deployed by some of the world’s leading brands, including Procter & Gamble, Nokia, Royal Bank of Canada, Kaiser Permanente, HPE, and Neustar. To learn more, follow @ArcadiaData or visit

Press Contact:
Sammy Totah