News room

The Speed Layer Design Pattern for Analytics

Increasingly however, organizations want to make near-real-time decisions on a larger corpus of data. This leads to better fraud prevention, threat detection, fleet management and other use cases arising from the proliferation of sensor and machine data.
Read More

Using Geospatial Analytics to Optimize New Telecom Services

Telecom providers like T-Mobile are turning to geospatial analytics to help plan deployments and optimize quality of service and coverage.
Read More

Real-time Analytic Databases — Thing or Not a Thing?

Conventional analytic databases are not fully vectorized because they simply have too much tech debt to take advantage of this innovation and vectorize all their operations.
Read More

Building Real-Time Location Intelligence Apps

This workbook contains an end-to-end pipeline that connects to streaming data sources via Kafka, performs spatial computations to detect different events and patterns, and then streams these to an external application.
Read More

Vectorization Meaning: A Key Accelerator for Analytic Databases

Kinetica can be used to accelerate a wide range of analytical tasks, including data transformation, filtering, aggregations (sums, averages, counts), and even machine learning inference.
Read More

Kinetica Announces Record Business Momentum as Market for Analyzing Sensor and Machine Data Experiences Explosive Growth

Kinetica, the database for time & space, today announced record business momentum over the past 12 months of 90% Annual Recurring Revenue (ARR) growth, Net...
Learn More

Kinetica Highlights Record Momentum as Market for Analyzing Sensor and Machine Data Experiences High Growth

The value that customers receive from Kinetica is reflected in the doubling of its customer base.
Read More

Kinetica Doubles Customer Count, Achieves 90% ARR Growth

Organizations creating the next generation of data driven applications based on sensor and machine data continue to choose Kinetica for its unrivaled real-time analytical and processing power of time-series and geospatial data.
Read More

Why Data Analytics Can’t Tell You Everything

Organizations that excel at data analytics overcome the science's limitations by embracing a growth mindset
Read More

Kinetica makes the insideBIGDATA IMPACT 50 List for Q1 2023

Read More

What’s Up with Cloud in 2023? Industry Predictions

Having a free open source product is good. So is having a software-as-a-service (SaaS) offering.
Read More

Tech Predictions for 2023: AI, Cloud, Edge, Cybersecurity, and More

Spatial thinking will help innovators optimize existing operations and drive long-promised digital transformation in smart cities, connected cars, transparent supply chains, proximity marketing, new energy management techniques, and more.
Read More

Strategies and Tools to Effectively Leverage Real-Time Data and Analytics

With Kinetica, a real-time data analytics database, clients can maintain fresh data through shortening the times of data latency and query latency.
Read More

Key Data Science, Machine Learning, AI and Analytics Developments of 2022

The commercial sector saw dozens of spatial analytics applications moved into production in 2022.
Read More

10 databases supporting in-database machine learning

Kinetica integrates machine learning models and algorithms with your data for real-time predictive analytics at scale.
Read More

Internet of Things predictions for 2023

Reductions in the cost of technology will see more connected devices
Read More

Big Data Industry Predictions for 2023

Emerging Free Forever SaaS models will further make these offerings cost effective and facilitate robust developer communities
Read More

Observability moves beyond DevOps in 2023

In 2023, we’ll see the data from sensors used to instrument operations truly harnessed for business value with the design pattern in observability showing the way
Read More