Compare Couchbase vs Treasure Data vs BigQuery

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87%
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81%
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Crozscore:

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Couchbase screenshot view 5 more Treasure Data screenshot view 4 more BigQuery screenshot view 5 more

Software Description:

Couchbase is one of leading NoSQL database technology solutions and the Couchbase open source project provider. It is a document-oriented distributed database, operating as the mix of two widely used NoSQL technologies: Membase and CouchDB.

The platform keeps up with all customer, employee, and machine interaction, serving as a powerful NoSQL for all kinds of massively interactive enterprises. It is developed on a memory-first structure, which maintains demanding data management options and makes operational management simpler. Another feature is elastic scalability and multi-dimensional scaling architecture, able to adapt to existing and new workloads and software requirements.

Couchbase also implements a query mechanism to recover data in cases of clients' query that is distributed to all servers in the cluster. The platform's persistence feature ensures data loss protection, thanks to the replication of data storing and data redundancy creation. There are intra-cluster, cross-datacenter, and index replication combinations offered.

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:

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:

  • Analytics
  • Dashboard
  • Multi-User
  • Notifications
  • Data Visualization
  • API
  • Data Import
  • Data Export
  • External Integrations

Features:

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

Features:

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

Summary:

  • Memory First

  • Elastic Scalability

  • Persistence

  • Replication

  • Eventing

  • Query

  • Analytics

  • Full-Text Search

  • Indexing

  • Key Value

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:

  • 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:

    Does this service offer guides, tutorials and or customer support?
  • Support: Online Training, Online Support, Community, Webinars, Documentation, Email Support, and Phone Support.

  • What is this service generally used for?
  • This service is generally used for implementing NoSQL database technology.

  • Does this service integrate with any other apps?
  • Integrations: Tableau, Cloud9 Charts, Qlik, SlamData, Excel, Power BI, TIBCO BusinessWorks 6, Visual Studio, BizTalk, and Microsoft SQL Server.

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

  • What platforms does this service support?
  • Couchbase can be deployed on following operating systems: Ubuntu, Red Hat, Mac OSX, Windows, and Debian.

  • What are some applications this service is commonly used in tandem with?
  • This service is commonly used in tandem with database connectors, like Simba and CData.

  • Who are the main user groups of this service?
  • The main users of Couchbase are enterprises with interactive web applications.

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?
  • 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:

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Publisher:

Founded:
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Based in:
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Publisher:

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

Other:

Who uses Couchbase
  • Enterprises
Desktop Platforms:
  • Windows
  • Macintosh
Languages:
English
Regional Restrictions:
No restrictions.

Other:

Who uses Treasure Data
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
Japanese, English, Korean
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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