XenonStack Recommends

Apache HBase and Apache Hive Managed Services

Apache HBase and Apache Hive Support and Implementation Solutions

Apache HBase provides real-time access to data in Hadoop and is designed to host large tables, making it an excellent choice for storing multi-structured data. On the other hand, Apache Hive facilitates the analysis of data stored in various databases and file systems integrated with Apache Hadoop.



Ensure Data is reliably stored on the cluster of machines despite machine failures.



Apache HBase and Apache Hive support linear and modular scalability and are centered around maintaining the performance requirements.


Fault Tolerance

In Apache HBase, data replicates across the data center. lt keeps syncing the data in the cluster, so if one node goes down, data from that node can be recovered from other nodes.

Enterprise Data Strategy to Transform Business

Adopting enterprise-driven distributed and modern solutions which facilitate scalable and flexible data architecture.


Pricing Plan




  • XenonStack Tick Bullet

    Managed Security

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      Basic Monitoring

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      24 x 7 Support




  • XenonStack Tick Bullet

    All Standard features

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      Managed Backup Full and Daily Snapshots

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      Managed Operating System Patches and Updates, Hardening, Configuration and Tuning




  • XenonStack Tick Bullet

    All Standard and Pro features

    • XenonStack Tick

      Application Monitoring and Response CPU, RAM, Disk IO, URL, and Application metrics

    • XenonStack Tick

      Advanced Enterprise Analytics and Dashboard

XenonStack Managed Services Left Image
XenonStack Managed Services Right Image

Building Scalable and Distributed Applications


Ensure Highly Availability

With linear and modular scalability of workloads, the enterprise can focus on and execute performance objectives.


Discover deep and actionable insights and gain intelligence with low-latency-based solutions.

Enhance cluster management and data processing abilities for businesses.

Resilient Distributed Datasets driven solutions for extending Immutability, Fault Tolerance, and partitioning capabilities.

Apache Spark has an advanced DAG execution engine that supports cyclic data flow and in-memory computing, running applications to run up to 100x faster.

Building powerful and effective Big Data workloads

Harness the power of modular scalability, distributed storage, and administration abilities.


Deploy Clusters on AWS

Empower scalable and reliable applications with optimized query execution and implementation solutions.

Relate Data Management Insights

Apache Hive Security with Kerberos Authentication


Apache Hive Security with Kerberos Authentication


Geospatial Analytics using Presto and Hive

Geospatial Analytics using Presto and Hive

Distributed Data Processing


Distributed Data Processing

Big Data Architecture

Modern Data Warehouse

Apache Flink

Apache Kafka

Big Data Architecture

Big Data architecture can handle the processing, ingestion, and analysis of data that is too complex or large for traditional database systems. It is also helpful in managing large amounts of data for business decision-making and streaming data analytics.

Modern Data Warehouse

Modern data warehouse solution delivers platform, solutions, features, functionality, and benefits that empower the Modern Enterprise in these areas - easily manage relational and non-relational data at all volumes and high performance.

Apache Flink is useful in efficient disk spilling, network transfers and, reduction of Garbage Collection.

Apache Kafka

Apache Kafka is a public subscribe scalable messaging and fault-tolerant system that helps us to establish distributed applications.