ClearStory Data

ClearStory Data

ClearStory Data is a big data analytics platform that enables fast data access, discovery, and collaboration. It allows organizations to combine multiple internal and external data sources, analyze them, and share insights quickly.
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big-data analytics data-access data-discovery data-collaboration

ClearStory Data: Big Data Analytics Platform

Combine internal and external data sources, analyze, and share insights with ClearStory Data's fast data access, discovery, and collaboration capabilities.

What is ClearStory Data?

ClearStory Data is a big data analytics software platform designed to help organizations access, analyze, and collaborate around their rapidly growing volumes and varieties of enterprise data. Some key capabilities include:

- Data Harmonization - Ingest, combine, and prepare multiple disparate data sources including structured, multi-structured, and unstructured data.

- Fast Data Access - Enable quick access to big data using ClearStory technology and architecture including columnar processing and memory-optimized systems on Hadoop.

- Data Discovery - Intuitively explore and analyze large volumes of data from multiple sources using ClearStory's easy-to-use visual interface to discover key insights and patterns.

- Enterprise Collaboration - Share reports, bookmark findings, add commentary and have discussions around the data and analytics using ClearStory's built-in collaboration functions.

- Deployment Flexibility - Deploy ClearStory either on-premise or access it via the cloud as a fully managed SaaS solution.

- Integration - ClearStory integrates easily with existing data infrastructure including data warehouses, Hadoop, cloud storage and business intelligence tools.

Overall, ClearStory Data aims to help enterprises transform big data into an accessible asset that drives data-driven decision making through powerful analytics, collaboration and time to insight.

ClearStory Data Features

Features

  1. Unified data access - Connects to and combines data from multiple sources
  2. Smart data harmonization - Automatically joins and shapes data for analysis
  3. Collaborative analytics - Enables teams to discover, visualize and share insights
  4. Scalable big data analytics - Leverages Apache Spark for fast processing on Hadoop and cloud platforms

Pricing

  • Subscription-Based

Pros

Intuitive visual interface for data discovery

Automates data wrangling and shaping

Supports collaboration and sharing of insights

Integrates with Hadoop and cloud data platforms

Cons

Limited advanced analytics capabilities compared to more robust data science platforms

Less flexibility for coding custom transformations

Not ideal for real-time or streaming data analysis

Can be complex to set up and may require consulting services


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