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BigObject
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BigObject

Overview
Synopsis

BigObject provide transformational in-data computing technology to enable your data computing real time, at scale,and with high ease of use.

Category

In Memory Database

Features

• Add time-bounded sliding table.
• Enable SELECT on specified time window for sliding tables via LAST, SINCE, or BETWEEN clause.
• Add table sampling via FILTER BY SAMPLE clause.
• New aggregate function CORR.
• New functions DATEDIFF, CUT.
• Supports read only file system.
• Bug fixes.

License

Proprietary

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Company

BigObject

PAT Rating™ ( Beta)
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.6
9.6
Features & Functionality
7.6
8.5
Advanced Features
7.6
8.6
Integration
7.6
8.9
Performance
7.6
8.8
Training
7.6
Customer Support
7.6
10
Implementation
Renew & Recommend
Bottom Line

BigObject Platform offers four overall values in analytic power, multi-model database, small footprint, and cost of ownership.

7.6
Editor Rating
9.1
Aggregated User Rating
2 ratings
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BigObject
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BigObject is a solution provider that enables Smart Data Analytics (SDA). SDA platform addresses the new challenges raised by big and complex data. SDA platform also delivers responsiveness with patented In-Data Computing technology. It achieves smartness by transforming big and complex data into actionable insights. BigObject provides transformational in-data computing technology to enable users’ data computing real time, at scale, and with high ease of use. Besides performance, BigObject Platform offers four overall values in analytic power, multi-model database, small footprint, and cost of ownership. BigObject can perform fast and smart queries with In-Data Computing technology where complex logics are pushed down into the database to achieve the optimal computing. It allows users to use simple query language to effortlessly attain the result. At the same time, users can also conduct domain specific searches and create domain specific terms with user-defined patterns. BigObject enables users to perform complex analytics while keeping their know-how in disguise. Moreover, BigObject supports multi-faceted data models, relational model (i.e. tables), hierarchical model (i.e. trees) and key-value model (i.e. semi-structured data), which are mutually transformable. Depending on the applications' requirements, the users have the flexibility to select among those models. With only 4MB in footprint, BigObject can enable data analytics in Raspberry Pi 2 with good performance. The overall cost of ownership for BigObject is low. It requires low resources (RAM and storage) and low cost per query. With today’s 64-bit architecture and virtualization technology, BigObject depicts a persistent and nearly infinite memory space for data.

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Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
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