Arcadia Data Reviews & Pricing

by Arcadia Data | Founded 2012, Campbell, CA

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What is Arcadia Data?

Industry Specialties: Serves all industries

Arcadia Data is a cloud-native visual analytics platform that provides data visualization and analysis to enterprises. Its in-data-lake architecture enables accelerated insights in real time through integrations with Confluent Cloud, Google BigQuery, Amazon Redshift and other cloud data warehouses. Developers leverage its intuitive interface and no-code approach to build analytics applications and embed them into websites. Its ability to process batch and streaming data in a single, unified interface empowers enterprises to harness real-time data insights for enhanced decision-making.

Owned by Cloudera since 2019, it serves small and medium-sized businesses in the U.S. and the U.K. In addition to its free version, Arcadia Instant, the vendor offers an Enterprise version.

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Based on 7 reviews:

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Arcadia Data Pricing

Based on our most recent analysis, Arcadia Data pricing starts in the range of $100 - $500.

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Starting From: Still gathering data
Pricing Model: Monthly
Free Trial: Still gathering data

Arcadia Data Benefits and Insights

Why use Arcadia Data?

Key differentiators & advantages of Arcadia Data

Better Decision-Making: Get a 360-degree view of customer data in a single location – no need to move it to a BI-specific solution. Analyze raw data dynamically within the data lake through schema-on-read for proactive decision-making in real time.
Build Applications: Drive self-service insights for customers, partners and internal teams by embedding visualizations into web-based applications and white-labeling. Design visual analytics applications directly on the data lake through advanced BI analytics interfaces.
Faster Insights: Agilely develop data visualizations with minimal IT intervention. Explore data in-cluster — no need to define cubes or data models in advance — and create visualizations, dashboards and applications through simple drag-and-drop actions without the need for coding.
AI-Powered Insights: Get answers to natural language data queries in the form of interactive visualizations. Displays the best answers by scoring the questions against all data sets and previous preferences through machine learning. Improve business strategy by sharing AI-backed data insights with clients and internal teams.
Churn Analytics: Reduce service costs through visual analysis of proprietary data and churn metrics. Develop a churn strategy by analyzing data from multiple customer touchpoints such as contact center interactions, billing systems, clickstream analysis and predictive data patterns.
Cybersecurity Analytics: Identify critical metrics by drilling across endpoints, users and networks with real-time dashboards to resolve cases. Simplify time-series analysis through visual forensic investigation and stay ahead of unknown threats by leveraging granular-level data access and machine learning workflows.
Prevent Fraud: Increase ROI by driving surveillance in a timely, collaborative and secure manner. View real-time and historical data analysis side-by-side in one application and set insight-based alerts. Collaborate with subject matter experts for combined alternative and conventional data analysis at a microscopic level within the data lake.
Financial Data Management: Gain deeper insights by identifying correlations between data sets through streaming financial data and advanced analytics. Derive business value at any stage of the big data business strategy and optimize insight sharing across the organization

Industry Expertise

The vendor provides analytics to multiple clients in diverse industries across the world. These include cybersecurity, internet of things, consumer goods, IT, defense, marketing, financial services, oil and gas, and telecommunications.

Arcadia Data Reviews

Average customer reviews & user sentiment summary for Arcadia Data:

7 reviews

93%

of users would recommend this product

Key Features

Architecture: Query serverlessly with cloud-based data warehouses and data lakes such as Hadoop, Amazon Athena, Redshift, Snowflake, Google Big Query and Databricks Spark. Get actionable insights through horizontal scalability and massively parallel processing in-data-lake — no need to move the data to a separate BI cluster.
Cloud Object Storage: Optimize spend and resources in usage-based models through elastic scaling out and shrinking of data sets. Analyze data directly in cloud object storage like Amazon S3 and Microsoft Azure Data Lake Storage (ADLS), providing a pure cloud-native BI service.
Smart Acceleration: Increase productivity with faster self-service access to data through ML-based insights. Its ArcEngine technology improves analytics response times based on analysis of user queries, dashboard data and metadata.
Geospatial Analytics: Get insights on demand for products and services by incorporating geographical data into quantitative analysis. Fine-tune the business strategy by mapping location data, sales data, aerial imagery and public records to market trends.
Streaming Data Analytics: Pull streaming data directly into the analytics platform from Apache Kafka, Apache Solr, Apache Kudu and Confluent KSQL. Quickly updates and indexes streaming data and analyzes real-time and historical business data. Locate data faster in log files through its intuitive search interface backed by a high-speed columnar format.

Limitations

At the time of this review, these are the limitations according to user feedback:

It isn’t possible to create analytical views over catalog tables.
Completed queries aren’t kept in storage, so the loss of a disk results in data loss.
Queries against the Completed Queries catalog table can be slow to run.

Suite Support

Go through the online resources such as analyst reports, case studies, podcasts, demos, videos, webcasts, blog, documentation, knowledge base and community forums on the vendor’s website for self-paced resolution of issues.

Phone support is available between 9 a.m and 5 p.m. EST, Mondays through Fridays.

Email:[email protected].

Phone:(866) 526-0083.

Training:Not specified. Consult the self-help resources mentioned above for more information about the product.

Tickets: Submit a request on the vendor’s support page.