Arcadia Data Defines Vision for Cloud-Native, Modern Business Intelligence

New Support for Leading Cloud Services Creates Path for Fast, Scalable, AI-Driven Analytics

SAN MATEO, Calif., March 26, 2019 (GLOBE NEWSWIRE) -- Arcadia Data, provider of the first visual analytics software native to the cloud and Apache™ Hadoop®, today announced the expanded support of its modern business intelligence (BI) capabilities for the leading cloud-based data warehouses, as well as a visionary blueprint for cloud-native analytics and BI. Built from the ground up to work in distributed and decoupled architectures, Arcadia Data enables the next generation of scalability, elasticity, performance, lower administrative overhead, and usage-based pricing of cloud environments.

Fundamental to Arcadia Enterprise is the decoupling of BI compute and storage and its native ability to directly analyze data in cloud object storage like Amazon S3 and Azure Data Lake Storage Gen2 (ADLS) with no data movement or duplication. With the compute tier decoupled,  customers can independently grow and shrink the amount of resources dedicated to BI workloads to optimize spending in a usage-based model. This enables a cloud-native BI service that provides direct access to data in object stores and a truly elastic and scale-out architecture.

Arcadia Enterprise is certified to run on all the leading Apache Hadoop distributions, including Amazon EMR which enables large-scale analytics as an Amazon-managed service. It is integrated with shared metadata services like Amazon Glue, and with leading cloud database and data warehouse services including Amazon Athena, Redshift, RDS, Aurora, Confluent Cloud, Databricks, Google BigQuery, and Snowflake which will let customers incorporate modern architectures into their production analytic and BI applications.

Arcadia Data was built from inception as the first distributed BI platform for large-scale analytics directly within modern data platforms with no data duplication or movement, helping create the category for “in-data-lake BI platforms.” Now, Arcadia Data gives this powerful advantage to customers with the flexibility to use the leading cloud storage services with a fully-featured BI platform for all data sets, including data warehouses and cloud object stores. This comprehensive, service-oriented data architecture enables different workloads and multi-function services in the cloud to support both batch analytics and real-time streaming in a single, user-friendly interface. The most recently released version of its flagship product, Arcadia Enterprise 5.0, now lets organizations leverage modern BI capabilities like natural language query (NLQ), high-scale visual mapping, and AI-driven dashboard acceleration in their digital transformation initiatives.

For individuals eager to get started with Arcadia Data on cloud databases, the company’s free-to-download and unlimited-use desktop BI tool, Arcadia Instant, provides connectivity to Amazon Athena, Confluent Cloud, Databricks, Google BigQuery, and Snowflake, in addition to the existing set of supported data sources. This lets data analysis professionals immediately start exploring and visualizing data in their cloud data stores. Once valuable insights are discovered with Arcadia Instant, there is an easy pathway to upgrade to the fully-secure and scalable Arcadia Enterprise with Smart Acceleration™ for production-ready, high performance analytic and BI applications. Arcadia Enterprise provides integration connectivity to additional cloud data stores like Amazon Redshift, RDS, Aurora, S3, and ADLS.

Supporting Quotes

"Neustar must manage and regularly deliver, from petabytes of data, timely insights to customers," said Satya Ramachandran, vice president, engineering, Neustar. "Arcadia Data works seamlessly with the cloud-based pieces of our data infrastructure, allowing us to support thousands of customer end users without sacrificing performance. Making Arcadia Data a cornerstone of our data strategy enables us to generate granular insights on large volumes of data, empowering better decisions and improved customer experiences for our clients."

Unlike traditional BI architectures, cloud-native BI provides the scale and business agility critical for organizations to gain a competitive edge in today’s data-driven world. According to Forrester, “In advanced insights-driven companies, 38% of data and analytics decision makers say they have already fully replaced their on-premises enterprise BI with cloud-based deployments; 40% say the same about replacing departmental or line-of-business BI platforms with cloud.” (Move BI to the Cloud to Achieve Greater Agility, Forrester Research, inc., by Boris Evelson, December 4, 2018)

“With data management increasingly moving to object storage and cloud data warehouses, organizations naturally expect that BI applications can also benefit from the scale of data and real-time analytics," said Priyank Patel, co-founder and chief product officer of Arcadia Data. "Yet, traditional BI architectures cannot meet those expectations because they are a mismatch for cloud-native environments. For instance, traditional BI can only run on subsets of data, and though data ingestion can happen in real time, analytics lags while waiting on ETL batch cycles. Arcadia Data provides a cloud-native  approach that frees companies from relying on those outdated analytic patterns, delivering an agile architecture that meets the new level of analytics scalability and performance companies demand."

BI users can download Arcadia Instant to start their modern BI journey in the cloud today.

To learn more about Arcadia Enterprise 5.0 and what it means to have an in-data-lake, cloud-native BI platform, register for this upcoming webinar.

About Arcadia Data
Arcadia Data provides the first AI-driven in-data-lake BI and analytics platform 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 in the cloud and big data platforms to streamline the self-service analytics process on data in Amazon S3, Microsoft ADLS, Apache Hadoop®, Apache Spark®, and Apache Kafka®.. 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