Compare Treasure Data vs Looker vs BigQuery

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Software Description:

Treasure Data operates with customer data for large tech companies, including those from Fortune 500 list. This managed cloud service is also widely used by innovators in other industries, like retail, eCommerce, advertising, and more.

Treasure Data is a customer data platform for marketing segmentation and personalization. By automating data collection and data processing, it helps its users overcome information overload and gain a dynamic look at their customers. It is a data-driven client personalization with 360° view.

This platform provides access to 1st, 2nd, and 3rd party data, including past data and current activities. Data from different sources are being unified, which reduces the need for data cleaning. It enables users to get and maintain a singular customer view, which is the solid basis for a successful marketing campaign.

Software Description:

Looker is reinventing business intelligence for the modern company. Looker works the way the web does: browser-based, its unique modeling language lets any employee leverage the work of your best data analysts. Operating 100% in-database, Looker capitalizes on the newest, fastest analytic databases—to get real results, in real time.

How Looker works in 5 simple steps:
1. Connect Looker to any relational database, like Amazon Redshift or Google BigQuery.
2. Let Looker automatically generate a data model from your schema.
3. Embellish the data model with custom dimensions and measures that reflect your company’s unique business logic.
4.Give all your users—technical and non-technical—access to Looker to answer their own questions through reports, dashboards or just exploring the curated environment you have built.
5.Relax as Looker translates their business questions into performant (and dialect-specific) SQL.*

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:

  • Inventory Tracking
  • Dashboard
  • Scheduling
  • Notifications
  • Data Import
  • Data Mining
  • Data Export
  • Data Visualization
  • Forecasting
  • API
  • External Integrations
  • Analytics
  • A/B Testing

Features:

  • Scheduling
  • 2-Factor Authentication
  • Customer Management
  • Analytics
  • Dashboard
  • Supplier Management
  • Notifications
  • Inventory Tracking
  • Multi-User
  • Link Tracking
  • Project Management
  • Forecasting
  • API
  • Data Export
  • A/B Testing
  • External Integrations
  • Data Visualization
  • Conversion Tracking

Features:

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

Summary:

  • Pre-built Connectors

  • Support for Real-Time and Batch Integration

  • Data Quality Services

  • Data Security Features

  • Monitoring Console

  • Unified Data For a 360° View of Your Customer

  • Continuous Data Integration For Pull and Push Transmission

  • Marketing Automation at Scale without Custom Engineering

Summary:

  • A data platform for all.

  • A powerful data platform that's easy for everyone to use.

  • Business intelligence, big data analytics, or a 360 view of your customers. Whatever you need, Looker can help. Talk to our data experts.

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

SaaS monthly based / Annual contract

Free
Included in plan:
  • Free 21 Day Trial

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:

    What are some applications this service is commonly used in tandem with?
  • This service is commonly used in tandem with CRM and cloud storage applications.

  • What is this service generally used for?
  • This service is used for customer data analytics.

  • Does this service offer guides, tutorials and or customer support?
  • Support: Community, FAQ, Knowledgebase, Video Tutorials, Webinars, Phone, Live Chat, Email.

  • Does this service offer an API?
  • Treasure Data’s REST API makes it easy for users to POST to or GET data from a company’s cloud data warehouse.

  • Who are the main user groups of this service?
  • Main users of Treasure Data are medium-sized and large enterprises, including those from Fortune 500 list.

  • What platforms does this service support?
  • This is a SaaS platform.

  • Does this service integrate with any other apps?
  • Integrations: Marketo, Segment.io, Mixpanel, TUNE Marketing Console, Google Analytics, AppsFlyer, adjust, Amplitude Analytics, Chartio, Tableau Desktop, Tableau Server, Looker, Domo, Adobe Analytics, Heap, Hadoop, Amazon Redshift, App Annie, Microsoft Power BI, Tableau Online, Pentaho, Metric Insights, Microsoft Office 2016, Microsoft Azure, Google Cloud Storage, Google Drive, Intercom, Zendesk, Elasticsearch, MongoDB, Google BigQuery, Microsoft SQL Server, PostgreSQL, Snowflake, MySQL, MariaDB, Docker, Heroku, Stripe, MailChimp, Salesforce Marketing Cloud Email Studio, Oracle Eloqua, Pardot, HubSpot, Oracle Responsys, NetSuite, DoubleClick, Facebook for Business, Sizmek, AdRoll, Acxiom LiveRamp Connect, Datorama, Twitter Ads, Google Tag Manager, salesforce sales cloud, kafka, Amazon Kinesis, hive mall, jupyter, pandas, R, mLab, fluentd, JDBC, Luigi, Python, Rest API, informatica, ruby, branch, eyeota, instagram Ads, xbee, MQTT, RaspberryPi, Serial Devices, CSV, FTP, Webhooks, mysql workbench, razorSQL, SQuirreL SQL, iOS, Android, Unity, Unreal Engine.

FAQs:

    Does this service offer guides, tutorials and or customer support?
  • In addition to a dedicated support analyst and success manager, Looker offers a documentation library and discourse community to post questions, tutorial videos, etc.

    There is also in-app live chat where you speak to one of our technical analysts between business hours.

  • Does this service offer multi-user capability (e.g. teams)?
  • Looker offers user attributes and privacy settings to allow for permissions.

    While intended as an organization-wide solution for all of your data needs, Looker offers specific applications developed for departments or specific verticals that are a compilation best practices.

  • What are some applications this service is commonly used in tandem with?
  • Any relational database.

    Looker is also great to pair with a predictive analytics tool such as Python or R.

  • Does this service integrate with any other apps?
  • Looker connects to any relational datastore such as mySQL, Google BigQuery, Amazon Redshift, etc.

    Looker has over 44 Technology Partners and 50 Systems Integrator and Consultant partners.

  • Does this service offer an API?
  • You can use the Looker API with any programming language or application environment that can make HTTPS requests and process JSON responses.

    You can also embed Looker visualizations and explores into any website and give limited feature availability to clients, customers, or data digesters.

  • What platforms does this service support?
  • Looker supports:

    • Chrome
    • Firefox
    • Edge
    • Safari
    • Internet Explorer (version 11)

    Looker supports the current and previous major releases of Chrome, Firefox, Edge, and Safari. Each time a new version is released, we begin supporting that version and stop supporting the third most recent version.

  • What is this service generally used for?
  • Exploring and acting on data insights.

  • Who are the main user groups of this service?
  • All business and technical employees.

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.

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Publisher:

Founded:
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Based in:
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Publisher:

Founded:
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myself only
Likes:
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Other:

Who uses Treasure Data
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
English, Korean, Japanese
Regional Restrictions:
No restrictions.

Other:

Who uses Looker
  • Startups
  • SMEs
  • Enterprises
Desktop Platforms:
  • Web App
  • Windows
  • Macintosh
Mobile Platforms:
  • iOS
Languages:
English
Regional Restrictions:
Only currently available in English.

Other:

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