Building powerful and effective Big Data workloads
Harness the power of modular scalability, distributed storage, and administration abilities.
XenonStack Recommends
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.
Reliability
Ensure Data is reliably stored on the cluster of machines despite machine failures.
Scalability
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
Building Scalable and Distributed Applications
Ensure Highly Availability
With linear and modular scalability of workloads, the enterprise can focus on and execute performance objectives.
Empower distributed applications
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.
Ensuring centralized storage of Data
Facilitate and build completely managed parallel and integrated operations with Dataproc.
Deploy Clusters on AWS
Empower scalable and reliable applications with optimized query execution and implementation solutions.
Azure HDInsight Solutions
Enterprises can utilize HD insight abilities to administer and configure Spark clusters easily.
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
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.
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