The InsightEdge Platform provides an always-on, high performance, and linearly scalable operationalized data lake store. In addition, indexing across any data type (object, JSON, Geospatial, Text) for ultra-fast queries as well as full data set scans. By combining Spark, the architecture is able to provide data engineers and scientists with a simplified approach to create machine learning models for forecasting, risk analysis, predictive maintenance, customer profile classifications, and price optimizations.
Immediately access fresh data as it comes in, as opposed to non-real time data lakes. Use standard APIs for querying and analytics, and benefit from indexing and ACID consistency.
Analyze and get insights on the spot not only for cold data but also for hot and warm data. JDBC compliance allows you to use all major BI tools such as Microsoft Excel, Power BI, Qlikview, Tableau and more.
Leverage horizontal scaling for predictable performance. Our query engine is designed from the ground up for execution of intensive workloads concurrently and extreme performance.
Analyze up to 100 terabytes of data and control where the data resides based on performance needs and cost optimization.
Avanza Bank Holding is the largest online stock broker in Sweden with more than 600,000 customers and the largest number of deals on the Stockholm Stock Exchange. Avanza is one of the options open to private investors who want to play an active part in their investments and savings programmes.
Avanza’s goal was to optimize its existing applications for maximum performance, as the core of their system became very tightly coupled application architecture, which proved to be difficult to change and extend with new functionalities. Avanza found it difficult to scale due to the inflexibility of legacy application and third-party tools.
With GigaSpaces, Avanza achieved major performance improvement, increasing customer experience by 100X, from hours to seconds.
This airline is one of the largest airlines in the world, with thousands of flights per day to hundreds of destinations in more than 50 countries, serving around a million passengers each day.
This airline needed to leverage mass amounts of data from the served airports to optimize logistics concerning resources, fight plans, crews, etc. – especially upon unplanned changes,for rapid accurate response. They required to ingest real-time data from multiple applications and data sources and analyze the data to optimize operations and pricing.
With GigaSpaces’ in-memory real-time analytics platform, this customer was able to predict and instantly handle any change in the scheduling and operating workflow. The platform’s event triggers analytics and machine learning and leverages data ingested and aggregated such as fuel costs, weather, news and more. The ability to access historical data, such as past delays during peak traffic, enriches the insights gleaned and increases the accuracy of the delay probability.