Compare Eccenca Corporate Memory vs DataStock vs BigQuery

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Software Description:

eccenca Corporate Memory connects old or current data with new technologies. We bridge the gap between yesterday’s legacy systems, and today’s aggregated data lake. eccenca Corporate Memory manages huge quantities of data with dozens of data sources. It is based on an advanced data discovery model, combining the capabilities of semantic technology and big data scalability with structured data connectivity. This approach enables eccenca to substantially improve access to information.

Our solution is most powerful by combining visual knowledge graphs with large data lakes. Corporate Memory extends existing document-based corporate intranets, often containing disparate or silo databases, to include all relevant sources of data. It creates a single and comprehensive repository of the company’s key operational data and metrics.

  • We provide means to lift your data into a virtual representation in a domain ontology featuring automatic data profiling and active machine learning.
  • We allow to define data linking, transformation, and integration as well as dataset preparation workflows based on the domain ontologies in use.
  • Corporate Memory perfectly integrates with Hadoop and leverages datasets in your data lake.

eccenca Corporate Memory combines knowledge graphs and big data lakes by realizing:

  • Flexible metadata and schema layer
  • Data virtualization and analytics
  • Data integration and indexing
  • KPI transparency and big data scalability

Software Description:

Datastock can be used to acquire big data sets that can prove to be of great use while you are doing a market research, business intelligence and has many other use cases in the business arena.

Software Description:

BigQuery is a Google Cloud Platform tool - a database-as-a-service (DBaaS) maintaining the querying and rapid analysis of enterprise-level big data. This is one of the best parallel solutions for Google Analytics, able to store terabytes of data.

This cloud data warehouse service is a solution for not only Google Analytics data management, but also for any other data that users need to store and analyze. BigQuery does not require a server or a database administrator, it is low-cost, and makes data analytics productive.

The key parts of this solution are the fast SQL-based queries, capacity scaling, integration with more existing ETL tools, logical data warehousing, automatic backup, and more. The service is free for up to 1TB of data analyzed each month and 10GB of data stored.

Features:

  • Multi-User
  • Analytics
  • External Integrations
  • Data Visualization
  • API
  • Data Import

Features:

  • Analytics
  • Data Mining
  • Data Export

Features:

  • Dashboard
  • Data Visualization
  • Data Import
  • Data Export
  • Analytics
  • External Integrations
  • API

Summary:

    No key features associated with this application.

Summary:

  • Comprehensive data sets from all around the web

  • Easy download of data

  • Structured and clean data files

Summary:

  • Serverless

  • Real-Time Analytics

  • Automatic High Availability

  • Standard SQL

  • Federated Query and Logical Data Warehousing

  • Storage & Compute Separation

  • Automatic Backup & Easy Restore

  • Data Transfer Service

  • Big Data Ecosystem Integration

  • Petabyte Scale

Storage

$0.02
Per GB, Per Month
Included in plan:
  • First 10 GB is free each month.

Long Term Storage

$0.01
Per GB, Per Month
Included in plan:
  • Price of storage drops by 50 percent to $0.01 per GB per month for inactive tables.
  • No degradation of performance, durability, availability, or any other functionality for long term storage tables.
  • $0.02 per GB per month for actively edited tables.

Streaming Inserts

$0.05
Per GB
Included in plan:
  • Loading data into BigQuery is free, except for a small charge for streamed data
  • Storage pricing is based on the amount of data stored in your tables.

Queries

$5.00
Per TB
Included in plan:
  • You aren't charged for queries that return an error, or for cached queries.
  • Charges are rounded to the nearest MB, with a minimum 10 MB data processed per table and per query.
  • Cancelling a running query job may incur charges.

FAQs:

    No FAQs associated with this application.

FAQs:

    Does this service integrate with any other apps?
  • Can be integrated with data analytics suites.

  • Does this service offer multi-user capability (e.g. teams)?
  • Yes

  • Does this service offer an API?
  • Yes

  • What are some applications this service is commonly used in tandem with?
  • Tableau, Qlikview

  • Does this service offer guides, tutorials and or customer support?
  • Yes

  • What platforms does this service support?
  • Web

  • What is this service generally used for?
  • Data extraction from the web

  • Who are the main user groups of this service?
  • Ecommerce companies
    Recruitment firms
    Market research firms
    Travel agencies
    Manufacturing companies
    Real estate companies

FAQs:

    Does this service offer guides, tutorials and or customer support?
  • Support: Knowledge Base, Tutorials, Training, Help Center, Email Support, Community.

  • What is this service generally used for?
  • BigQuery is used as an enterprise analytics data warehouse.

  • Does this service integrate with any other apps?
  • It integrates with Alooma, Blendo, Fivetran, Funnel, Atom Data, Informatica, Lytics, Matillion ETL, SAP, Segment, SnapLogic, Stitch, Striim, Switchboard, Skyvia, Talend, Treasure Data, Xplenty.

  • Who are the main user groups of this service?
  • Main users of this service are data scientists and analysts in enterprises.

  • What are some applications this service is commonly used in tandem with?
  • It is most commonly used in tandem with Google Analytics.

  • Does this service offer an API?
  • Yes, it offers REST API.

  • What platforms does this service support?
  • This is a web-based platform.

Publisher:

Founded:
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Based in:
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Employees:
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Likes:
100
Followers:
885

Publisher:

Founded:
-
Based in:
-
Employees:
-
Likes:
Followers:

Publisher:

Founded:
-
Based in:
-
Employees:
myself only
Likes:
Followers:

Other:

Who uses Eccenca Corporate Memory
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
English
Regional Restrictions:
No restrictions.

Other:

Who uses DataStock
  • Startups
  • SMEs
  • Agencies
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
English
Regional Restrictions:
No restrictions.

Other:

Who uses BigQuery
  • SMEs
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
Turkish, Spanish, Chinese, German, Portuguese, Italian, French, English, Korean, Dutch, Serbian
Regional Restrictions:
No restrictions.
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