Kinetica Free Forever in Cloud Hosted Version, Accelerates Transition to Generative AI with SQL-GPT

Kinetica DB Inc. announced a free version of Kinetica Cloud where anyone can sign-up instantly without a credit card to experience the company’s generative AI capabilities to analyze real-time data.

No other analytic database offers this pricing model with free storage and compute, and no expiration date. Unlike other offerings that expire after a trial period, provide limited functionality or require that the customer pay for infrastructure and storage, Kinetica Cloud is free forever for up to 10GB of data with full Kinetica database functionality, including the firm‘s SQL-GPT, using generative AI to turn language into SQL that executes quickly. Additionally, developers will be able to upgrade to the company’s Cloud for Dedicated Workloads with support for production deployments, including dedicated compute resources and the firm’s standard support.

Deloitte estimates that devices capable of sharing their location will represent 40% of all data by 2025, making spatiotemporal data – where objects are and where they are moving – the fastest growing segment of big data. Prime examples are streams of data from mobile devices, static or moving sensors, satellites, and video feeds from drones and closed-circuit TVs. Applications based on real-time spatial and time-series data are driving digital transformation across industries, including fleet management, supply chain transparency, connected car, precision agriculture, smart energy management, retail proximity marketing, and others.

Kinetica Cloud is free forever, including SQL-GPT, using ChatGPT to turn language into SQL
As big data evolves from web logs that capture human interactions with social media apps and the web to the next-gen of extreme data that captures machine observations from sensors and cameras, the old technologies and methods once again must be reconsidered. For instance, joins between 2 spatial data sets and calculating overlapping polygons will cripple a traditional data warehouse or data lake. Add a time series function on top of that, and chances are the query will never complete. Further, most high-value use cases come from making decisions in real-time. Data warehouses and data lakes simply weren’t designed to solve complex problems in a real-time latency profile. The company applies an innovative compute paradigm, commonly referred to as vectorization, to reduce the complexity and increase the scale and performance of spatiotemporal workloads.

Kinetica Cloud Free Forever includes:

Store and analyze up to 10GB of data with full Kinetica database functionality
SQL-GPT functionality, using generative AI to turn language into SQL that executes quickly
Unlimited SQL queries and API access
Unlimited SQL workbooks
Community support

It complements existing firm’s deployment options, including Developer Edition, deploying Kinetica through the AWS and Azure Marketplaces as a managed service, or deploying Kinetica software-only in a customer’s own cloud environment.

Additionally, the Cloud for Dedicated Workloads option removes the data limits, giving customers more flexibility to choose from different clusters for ‘hot data sizes’ depending on the size of their data and complexity of the queries issued. This option also features dedicated clusters and compute resources, ensuring customers consistent performance based on the size of the cluster they choose. Kinetica Standard support is also included.

“Kinetica Cloud’s Free Forever version is a significant release for companies to easily experience working with the Kinetica database without having to deal with trial licenses or PoC budget approvals,” said John O’Brien, principal advisor and CEO, Radiant Advisors. “Proven industry leading performance and multi-modal analytics features aside, our database benchmark engineers frequently commented how impressed they were with the Kinetica Cloud environment and analytics workbench in user experience and its ability to dramatically reduce development time for spatial and time-series analytics.”

“We’re seeing two massive opportunities collide for our customers. First, real-time decisions informed by smart sensors and devices are increasingly critical in many industries and applications. Second, new approaches to data management and analysis must be taken as more of the data from such devices is streaming data that includes information about both time and location,” said Philip Darringer, VP, product management, Kinetica. “By removing cloud cost concerns for developers, we’re accelerating the transition to the next phase of big data, allowing organizations to scale the collection, analysis, and operationalization of this new form of location-enriched data for innovation, coupled with SQL-GPT functionality for easy and fast conversational querying on that data.“

Kinetica Cloud is totally free forever for up to 10GB of data with full Kinetica database functionality and is available.

With the firm’s Cloud for Dedicated Workloads, available in 3Q, users can get started for $4.50/hour with an extra small cluster, suited for hot data sizes of 250GB, or scale up to larger sizes as needed.

Resources:
Provision Kinetica Cloud
Kinetica SQL-GPT highlights
Kinetica explainer video
Kinetica TPC-DS benchmark results
Time Series and Spatial Benchmark (registration required)

About Kinetica
It is the creator of a real-time analytic database for sensor and machine data – offering native vectorized analytics in generative AI, spatial, time-series, and graph. Many of the world’s largest companies across the public sector, financial services, telecommunications, energy, healthcare, retail, automotive and beyond rely on Kinetica to create new time-series and spatial solutions, including the US Air Force, USPS, Citibank, T-Mobile, and others. The firm is a privately-held company, backed by leading global venture capital firms Canvas Ventures, Citi Ventures, GreatPoint Ventures, and Meritech Capital Partners. It has a partner ecosystem, including AWS, Microsoft, NVIDIA, Intel, Dell, Tableau, and Oracle.