XenonStack Recommends

Apache Ignite Managed Services

Real-Time in-memory Analytics Solutions with Apache Ignite

Apache Ignite is an in-memory computing platform that delivers unprecedented speed and unlimited scale to modern data processing. It enables high-performance transactions, real-time streaming, and fast analytics in single, comprehensive data access and processing layer. Apache Ignite powers both existing and new applications in a distributed, massively parallel architecture on affordable, industry-standard hardware. Apache Ignite can run on-premise or on a cloud platform.

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Ignite Persistence

Apache Ignite native persistence is a distributed, strongly consistent disk store that transparently integrates with Ignite's strong memory.

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ACID Compliance

Data stored in Apache Ignite is ACID-compliant both in memory and on disk. Apache Ignite transactions work across the network and can span multiple servers.

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SQL Support

Apache Ignite provides full support for SQL, allowing users to interact with Ignite using pure SQL without writing any code.

Distributed Database Management

The DDBMS system permits the management of the distributed database so that it appears as one single database to the users.

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Big Data Services

Standard

$49/

Month

  • XenonStack Tick Bullet

    Managed Security

    • XenonStack Tick

      Basic Monitoring

    • XenonStack Tick

      24 x 7 Support

Pro

$99/

Month

  • XenonStack Tick Bullet

    All Standard features

    • XenonStack Tick

      Managed Backup Full and Daily Snapshots

    • XenonStack Tick

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

Enterprise

$125/

Month

  • 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

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Database Management Solutions for Enterprise

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Managed Cloud Database Solutions

Leverage IT optimization techniques to manage complex and growing data portfolios for best performance.

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A powerful, highly sustainable and secure NoSQL database management for enterprises.

Graph database management system developed by Neo technology and called an ACID-compliant transactional database with native graph storage and processing.

Manage the availability, usability, integrity, and security of data in an enterprise.

Identify business-relevant analytical tools and unify all your data, analytics, and AI workloads to gaining actionable insights.

Automated Database management service providers

Data management services to enable automation-driven data integration and optimization.

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Google Cloud Services

Data Management Solutions on GCP with Cloud DataFlow, and Google BigQuery for Batch and Stream Processing Analytics.

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AWS Services

Developing Data Solutions with Amazon EMR, Amazon Kinesis, Amazon Glue, Amazon Athena, Amazon DynamoDB and Amazon Aurora.

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Azure Services

Azure Stream Analytics and Data Lake Analytics with HDInsight for optimized IoT and Streaming Solutions and capabilities.

Related blogs and Articles

Everything that you need to know about Big Data Managed Services

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Everything that you need to know about Big Data Managed Services

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Managed DevOps Services and Solutions

Managed DevOps Services and Solutions

Managed Data Analytics Services and Solutions Company

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Managed Data Analytics Services and Solutions Company

NoSQL

Database Management

DBaaS

Data Denormalization

NoSQL

NoSQL or Not-only-SQL are the databases that help developers store/manage unstructured data and perform complex analytical operations.

Database Management

Organize the database files and provides end users more access and control over their data.

Database as a service is a cloud computing managed service offering model that enables users to set up, operate, manage, and scale with some form of access to a Database.

Data Denormalization

Denormalization helps to reduce some types of problems with database queries that combine data from different tables into a single table.