It’s not just storage and compute elasticity that have moved to the cloud. It’s everything: data, tools, development, security, connectivity, operations, maintenance. KX can help you leverage that power.

KX Insights^TM is a cloud-native platform for critical real-time performance and continuous actionable intelligence. Using complex event processing, high-speed analytics and machine learning interfaces, it enables fast decision-making and automated responses to events in fractions of a second.

KX Insights^TM uses a microservices-based architecture for capturing, storing and processing high-volume, high-velocity data using cloud standards, services, and protocols. Tapping the power of cloud-native technologies like serverless deployments, Docker and Kubernetes, it enables developers to focus on business functionality rather than worrying about hardware infrastructure and deployment environments.

Quick to deploy and easy to operate across all cloud environments, public and private, KX Insights enables you to put those benefits into action, now.

Development agility is empowering business agility, as the cloud transforms how services are developed, deployed and maintained.

KX Insights^TM is designed to natively leverage best-practice cloud standards, services and protocols for developing and operating business solutions.

• Units of functionality are delivered as microservices, self-contained units that can be quickly and easily orchestrated into applications, all benefiting automatically from the supporting scalability and fault-tolerance of the cloud
• Building upon open standards like Docker and Kubernetes provides both portability across cloud environments and deployment robustness to support regular updates on a Continuous Development/Continuous Integration (CD/CI) paradigm
• Adopting cloud-native best practices for security, access control and messaging increases interoperability and simplifies integration, while standards-based logging and monitoring protocols simplify support and maintenance

This combination of faster development, service reuse and streamlined delivery transforms the software development lifecycle and enables quicker insights and response to business opportunities.

Cloud-first with KX Insights.

• Trusted cloud security and messaging for data integrity and communication reliability
• REST APIs for easy, open connectivity and integration
• Standards-based protocols for centralized and consistent operations and maintenance
• Kubernetes and Docker support for faster development and rollout of new functionality

Leveraging cloud-native big data stores

KX Insights^TM works natively with object storage, giving clients easy and cost-effective access to third-party storage from the major cloud providers. Easy because eliminates the need for third-party plugins or conversion tools and lets user load or save data directly. Cost-effective because object store is multiple times cheaper than regular storage.

Leveraging its REST interface for quick, easy, authenticated access to 3rd party data stores, KX Insights can create and populate new tables and datasets, execute queries, view results and transform data to kdb+ format for optimal processing.

While cloud-first, we are not cloud-only. We recognize that, for a variety of reasons, some data and some services may have to remain on-premises.

For that reason, KX Insights^TM can integrate with existing on-premises installations and operate over public, private and hybrid environments. This level of flexibility allows workloads to be distributed accordingly to preferred platforms of choice while future-proofing for any future cloud migration needs.

Continuous intelligence is a paradigm shift driving smarter business decisions by integrating real-time analytics into business operations.

It is based on real-time analysis of incoming data, coupled with historical data that provides valuable context,  and enables organizations to be powered and informed by continuously enriched actionable insights.  

KX Insights^TM delivers real-time analysis of any data, whether at speed or at rest, providing firms with dynamic insights into what’s happening, right now. Advanced analytics and SQL querying of data (being released in Q2) enable users to derive insights, detect anomalies and automate responses – all in real-time. Continuously.

Visit Marketplace

KX Insights^TM is licensed on a subscription basis that eliminates capex,  provides continuous upgrades and supports pay-as-you-use billing.

Available now on the main cloud providers’ marketplaces.

For more information on KX Insights, please read our datasheet

Leveraging the kdb+ time-series database, KX Insights^TM for extremely high performance.

KX Insights^TM is built on kdb+, an ultra-high-performance time series relational and columnar database designed for rapid analytics on large-scale datasets in motion and at rest. The columnar design of kdb+ means it offers greater speed and efficiency than typical relational databases and its native support for time-series operations vastly improves both the speed and performance of queries, aggregation, and analysis of structured data.

Kdb+ is unique from other popular databases because it operates directly on the data in the database, removing the need to ship data to other applications for analysis. Highly interoperable with other programming languages, kdb+ supports an extensive range of storage options and interfaces with a very simple API, for easy connectivity to external graphical, reporting and legacy systems. 

KX AutoML helps users to automate the process of applying machine learning techniques to real-world problems and opens up machine learning capabilities to a wider audience.

The AutoML framework provides a complete machine learning workflow, including pre-processing, feature engineering, model selection/optimization and report generation. Follow this link to see how it can be used to solve regression problems using the FRESH algorithm.

Simplifying Integration 

While KX offers a single-stack solution to support the complete data  analytics life-cycle from ingestion to processing and visualization, it also provides interfaces to other technologies. Examples range from programming languages like Python, R, C/C++ and Java to middleware like Solace and Kafka and to Machine language platforms like Keras and TensorFLow

This approach enables organizations to preserve the value of existing investments and technical skills in other areas and accelerate solution development through code reuse and industry-standard interconnectivity.