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Parsers VS Oracle TimesTen

Compare Parsers VS Oracle TimesTen and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Parsers logo Parsers

Parsers is a platform for extracting unstructured data from sites and their visualization without code.

Oracle TimesTen logo Oracle TimesTen

TimesTen is an in-memory, relational database management system with persistence and...
  • Parsers Landing page
    Landing page //
    2023-07-16

Platform for extracting unstructured data from sites and their visualization without code. You need to click on the data on the site and start the process. After the process is over, you can see the analyzed data on the charts and download the structured data in the required format (Excel, xml, csv) or get by API.

  • Oracle TimesTen Landing page
    Landing page //
    2023-06-17

Parsers videos

+ Add

Lec-7: What is Parsing & Types of Parsers

More videos:

  • Review - Interactive Learning of Parsers from Weak Supervision

Oracle TimesTen videos

+ Add

My demo of Oracle TimesTen in memory DB with Free Developer Day tools with a VirtualBox VM appliance

Category Popularity

0-100% (relative to Parsers and Oracle TimesTen)

Parsers

Oracle TimesTen

Productivity
100 100%
Productivity
0% 0
Databases
0 0%
Databases
100% 100
Web Scraping
100 100%
Web Scraping
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

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What are some alternatives?

When comparing Parsers and Oracle TimesTen, you can also consider the following products

Sitebulb - Crawl and visualize your website structure

Datomic - The fully transactional, cloud-ready, distributed database

import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.

Datahike - A durable datalog database adaptable for distribution.

Diffbot - Get data from web pages automatically

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

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