High Performance Analytics on Fast Moving Data
Kinetica is a true real-time analytics database that can process streaming data as it arrives, allowing you to uncover new insights immediately. Kinetica cuts OLAP response times from minutes to less than a second for multi-billion row data sets.
And because Kinetica has the raw horsepower to perform brute-force queries without extensive indexing of data, you'll no longer need to know every question you want to ask of the data before you start exploring it. This makes Kinetica the ideal solution for data discovery projects.
See the when and where - here and now. Adding location and time dimensions to data makes it significantly more valuable, but much harder to process and analyze.
Kinetica solves this problem with a native geospatial and visualization pipeline that makes it simpler to work with with vast sets of geospatial data. The combination of native geospatial object types, specialized geospatial functions, and advanced visualizations leveraging the power of the GPU —makes Kinetica the ideal solution especially when location and time data is important.
Run AI Workloads Alongside BI
User-defined functions (UDFs) enable compute as well as data-processing, within the database.
Before now, organizations typically needed to extract data to specialized environments to take advantage of GPU acceleration for data science workloads, such as machine learning and deep learning. Kinetica now makes it possible for sophisticated data science models to be developed and made available on the same database platform as is used for business analytics.
UDFs and the associated orchestration API enable data to be processed with custom code that can draw on the power of distributed GPUs. UDFs have direct access to CUDA APIs, and can take full advantage of the distributed architecture of Kinetica.
Empower analysts and business users
Kinetica offers SQL query support, free-text search, and visualization tools. Users can explore massive data sets and uncover insights faster than ever before without having to learn new languages or construct data models.
Accelerate your data warehouse
Kinetica provides a high speed in-memory layer for your most critical enterprise data.
Offload analytics from expensive relational databases or accelerate the performance of your existing analytics tools and applications. Kinetica is an ideal companion for a data warehouse struggling to keep pace with real-time demands associated with IoT.
Overcome NoSQL complexity
Spark and NoSQL promise to take Hadoop beyond batch, but face challenges in operational complexity, expense, and how their stream processing layers retrieve aggregations or analytics within the streaming latency window.
For organizations with truly real-time business needs, Kinetica’s GPU-accelerated, in-memory database is powerful enough and fast enough to perform analytics at scale in real time, so there is no need to precompute aggregates and indexes, or run additional caching systems.
Proven at scale
Kinetica is being used in complex operational environments today.
USPS optimizes and monitors delivery routes
Kinetica supports 15,000 concurrent users and analyzes data from over 200,000 scanning devices to reallocate resources on the fly based upon personnel, environmental and seasonal data.
Global retailer improves supply chain operations
Kinetica is being used to better track inventory in real time and improve customer engagement by correlating data from point of sales (POS) systems, social media, weather, and other data.
IronNET investigates cybersecurity anomalies
Using Kinetica to fuse multiple data feeds for real-time anomaly detection to protect its clients against current and emerging cyber threats.
Businesses across a range of industries benefit from Kinetica's GPU-accelerated database.
As financial institutions face increasing regulatory requirements, increased competition, and an increase in customer demand, Kinetica offers ways to get faster and more flexible insight into financial operations, customers, and markets. Uses include:
Kinetica can be used to track and analyze huge volumes of moving assets and inventory – ideal for generating faster and more relevant intelligence across a company’s supply chain. For example:
As communications service providers experience a huge increase in data coming across their networks, Kinetica's ability to perform real-time analysis on streaming data opens new opportunities:
Use Kinetica to provide insights into how to cut costs, optimize investments, and reduce risk. Here are a few examples of where Kinetica can be put to work in the energy sector:
Many of the biggest challenges in healthcare are being solved through analysis of large datasets. The brute-force compute power of Kinetica is well suited for:
Kinetica can track in real time huge volumes of moving assets and inventory, enabling faster and more relevant intelligence to be shared across a company’s supply chain and operations. For example:
Take the Kinetica Challenge!
Sometimes benchmarks and marketing copy can sound too good to be true. The best way to appreciate the possibilities that GPU acceleration brings to large-scale analytics is to try it with your own data, your own schemas and your own queries.
Contact us, and we'll set you up with a trial environment for you to experience it for yourself.