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Average Ratings 0 Ratings
Description
DataSet offers dynamic, searchable real-time insights that can be stored indefinitely, either through DataSet-hosted solutions or customer-managed, cost-effective S3 storage options. It enables the rapid ingestion of structured, semi-structured, and unstructured data, creating an unlimited enterprise framework for live data queries, analytics, insights, and retention without adhering to rigid data schema requirements. This technology is favored by engineering, DevOps, IT, and security teams seeking to harness the full potential of their data. With sub-second query performance driven by a patented parallel processing architecture, users can operate more efficiently and effectively to enhance business decision-making processes. It can effortlessly handle hundreds of terabytes of data without the need for rebalancing nodes, storage management, or resource reallocation. The platform scales flexibly and limitlessly, while its cloud-native architecture enhances efficiency, reducing costs and maximizing output. Users benefit from a predictable cost structure that delivers unparalleled performance, ensuring that businesses can thrive in a data-driven landscape. Additionally, the ease of use and robust capabilities of the system empower organizations to focus on innovation rather than data management challenges.
Description
A cloud database that can scale to handle large streaming data sets. Kinetica harnesses modern vectorized processors to perform orders of magnitude faster for real-time spatial or temporal workloads. In real-time, track and gain intelligence from billions upon billions of moving objects. Vectorization unlocks new levels in performance for analytics on spatial or time series data at large scale. You can query and ingest simultaneously to take action on real-time events. Kinetica's lockless architecture allows for distributed ingestion, which means data is always available to be accessed as soon as it arrives. Vectorized processing allows you to do more with fewer resources. More power means simpler data structures which can be stored more efficiently, which in turn allows you to spend less time engineering your data. Vectorized processing allows for incredibly fast analytics and detailed visualizations of moving objects at large scale.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Amazon Web Services (AWS)
Apache Kafka
Docker
Google Cloud Search
Gravity Data
Kubernetes
NVIDIA RAPIDS
Oracle Audience Segmentation
Oracle Big Data Preparation
Integrations
Amazon S3
Amazon Web Services (AWS)
Apache Kafka
Docker
Google Cloud Search
Gravity Data
Kubernetes
NVIDIA RAPIDS
Oracle Audience Segmentation
Oracle Big Data Preparation
Pricing Details
$0.99 per GB per day
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DataSet
Founded
2011
Country
United States
Website
www.dataset.com
Vendor Details
Company Name
Kinetica
Founded
2009
Country
United States
Website
www.kinetica.com
Product Features
Product Features
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
Streaming Analytics
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards