DataSift

DataSift

DataSift is a social data platform that allows users to access and analyze data from social networks like Twitter and Facebook. It provides tools for filtering, processing, and visualizing social data to reveal insights.
DataSift image
social-media analytics insights twitter facebook

DataSift: Access and Analyze Social Data

Social data platform to access and analyze data from Twitter, Facebook, and other networks, with tools for filtering, processing, and visualizing social insights.

What is DataSift?

DataSift is a cloud-based platform that enables users to access and analyze historical and real-time data from social networks including Twitter, Facebook, Reddit, and YouTube. It allows you to filter and process billions of social media posts to uncover trends, insights, and opportunities.

Some key features of DataSift include:

  • Access to full archive of public social data going back several years
  • Real-time streaming access to live posts across multiple networks
  • Powerful filtering tools and Boolean operators to precisely narrow down data
  • Machine learning categorization to automatically tag and group content
  • Data enrichment through natural language processing and sentiment analysis
  • Visualization tools like histograms, tag clouds, and geospatial maps
  • APIs and integrations with business intelligence, CRM, and marketing tools
  • Flexible pricing plans based on volume of data consumed

DataSift is ideal for social media monitoring, brand management, competitive analysis, targeted advertising, market research, and gaining actionable intelligence from social data. Its capabilities make social data more accessible and valuable for businesses.

DataSift Features

Features

  1. Real-time access to historical and streaming social data
  2. Filters for narrowing down datasets
  3. Natural language processing for analyzing unstructured data
  4. APIs and integrations with BI tools
  5. Visualization and analytics dashboards

Pricing

  • Subscription-Based

Pros

Large historical archive of social data

Powerful filtering and processing capabilities

Flexible pricing options

Integrates with many third-party tools

Good technical support

Cons

Steep learning curve

Limited free offering

Can be expensive at high usage tiers


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