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Tests were run with 200GB (SF200) of sample data comprising 24 tables in a snowflake schema. The tables store web, catalog and store sales from an imaginary retailer. The largest fact table had well over a billion rows. Benchmarking was done using a consistent distributed hardware configuration of four Azure virtual machines: E48s v4 (48 vCPU, 384 GB RAM) with 2TB premium SSD, or equivalent setup.

澳洲幸运10开奖号码历史查询-澳洲10官网历史查询 A Range of Industries Use Kinetica

Sensor and machine data is proliferating and creating new opportunities across many industries.

Telecommunications

For analyzing network data and coverage patterns

Logistics

For monitoring the movement of goods and optimizing routes

Insurance

For assessing potential claims based catastrophic weather events

Financial Services

Run search (full text + semantic) and analytical workloads, and operationalize all your enterprise data to your models. No specialty databases required.

Defence agencies

For building a common operating picture and enhancing situational awareness

Oil & Gas and Energy

For optimizing energy usage in buildings and industrial facilities

A Range of Industries Use Kinetica

Sensor and machine data is proliferating and creating new opportunities across many industries.

Telecommunications

For analyzing network data and coverage patterns

Logistics

For monitoring the movement of goods and optimizing routes

Insurance

For assessing potential claims based catastrophic weather events

Financial Services

Run search (full text + semantic) and analytical workloads, and operationalize all your enterprise data to your models. No specialty databases required.

Defence agencies

For building a common operating picture and enhancing situational awareness

Oil & Gas and Energy

For optimizing energy usage in buildings and industrial facilities

Real Time at Enterprise Scale

Build event handling platforms that give you the edge over your competition. Our multimodal analytics engine performs complex spatial, graph, time series and vector computations on massive amounts of real-time streaming data within seconds.

GPS Breadcrumbs

IoT Sensor Feeds

Operational data feeds

Vector Embeddings

Real-time

indexing

Real-time

SQL

User-facing analytics

Database CDC streams

Geospatial search

Do the hard. Easier. Cheaper

Lower cost

Familiar relational data model with AI powered language to SQL and an interactive notebook environment.

Real time compute

Use vectorization on NVIDIA PUs and SIMD enabled CPUs to perform complex computations in real time

Ease of Use

Familiar relational data model with AI powered language to AQL and an interactive notebook environment.

Is Kinetica Right for You?

Take our quick survey to discover if your business can benefit from Kinetica’s cutting-edge performance.

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Do you have strict requirements for data security and access?

Is your data siloed across multiple sources and applications?

Do you have more than a terabyte of data?

Do your analytics require spatial, time-series, or graph computations?

Does your data schema have more than 10 tables?

Does your team need fast insights from real-time data?

Are any of your analytics slow?

Is data critical to your organization’s success?

Are you exploring Generative AI to gain insights from tabular data?

Does your team work with large volumes of real-time streaming data?

no

yes

澳洲幸运10官网开奖结果号码查询2025最新版 Get Started

Find the perfect fit below—free options include our Cloud and Developer editions, while advanced solutions for production come fully managed or on-premise.

Free Cloud

A fully managed service hosted by Kinetica with 10 GB of storage. Get started in minutes.

Developer Edition

Your free forever personal copy of Kinetica. A single node installation that requires docker.

Enterprise Edition

Deploy on custom hardware or your AWS cloud infrastructure. For mission-critical workloads.

Dedicated Cloud

A full managed service for production use cases. Start for as low as $1.80 / hr.

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