Interactive data exploration solutions
Building efficient and effective data analysis capabilities for businesses
XenonStack Recommends
Solution for Data Ingestion, Data Analytics, and Data Visualization.
Apache Zeppelin is an open web-based notebook that enables interactive data analytics, data ingestion, exploration, visualization, and sharing. It additionally allows the association between features of Hadoop and Spark.
Meet Data Visualization Goals
Apache Zeppelin visualizations are not limited to Spark SQL queries only. Furthermore, it supports output from any backend language that can be recognized and visualized.
Visual Analytics
Enable compelling interactive storytelling and comprehend the business value behind the analysis.
Integration with Tools
With diverse integration possibilities; enterprises can build applications that support multiple verticals.
Data-driven Analytics with Apache Zeppelin
Apache Zeppelin is a tool that makes Data Scientist's life smooth; they can do everything they need in one place. Enterprises can effectively perform data ingestion, exploration, visualization, and analytics using the zeppelin notebook.
Pricing Plan
Apache Zeppelin-driven Solutions
Streamline Data Ingestion
Apache Zeppelin supports multiple platforms for data processing, such as Apache Spark, Python, JDBC, Markdown, and Shell.
Streamline Data Ingestion
Apache Zeppelin provides data discovery across the web notebooks to enable faster analytics and visualization.
Apache Zeppelin provides a convenient way to create interactive web notebooks to write and execute the queries and visualize the results.
Supporting enterprises to improve collaboration and facilitate streamlined reporting between processes.
Apache Zeppelin supports Spark capabilities which further removes the complexity of integrations.
Solution for Google Cloud Platform
Enabling Analytics Services on Google Cloud Platform with Google Cloud Datalab and Google Data Studio.
Visualize Data workloads with AWS
Enabling Analytics Services and capabilities with Amazon Athena, Amazon EMR, and Amazon Kinesis.
Solution for Microsoft Azure Data Lake
Build Analytics focussed solutions with Azure Cloud with Azure Stream Analytics and HDInsight.
Data Analytics related insights
In-depth guide to Amazon Athena Architecture
In-depth guide to Amazon Athena Architecture
Introduction to Visual Analytics processes
Introduction to Visual Analytics processes
Interactive Data Visualization Techniques and Tools
Interactive Data Visualization Techniques and Tools
Apache Flink
Amazon EMR
Apache Druid
Apache Kafka
Apache Flink
Apache Flink engine utilizes in-memory processing, data streaming, and iteration operators to streamline performance issues.
Amazon EMR
It is a service for managing distributed storage and computing over big data, utilizing various frameworks such as Hadoop and Apache Spark.
Apache Druid is a real-time analytics database that is designed for rapid analytics on large datasets. This database is used more often for powering use cases where real-time ingestion, high uptime, and fast query performance are needed.
Apache Kafka
Apache Kafka is a public subscribe scalable messaging and fault-tolerant system that helps us to establish distributed applications.
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