Compare Couchbase vs MapR vs Treasure Data

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85%
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84%
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interest rising
Couchbase screenshot view 5 more MapR screenshot view 4 more Treasure Data screenshot view 4 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:

MapR offers one of industry’s leading unified data platforms that is capable of performing analytics and applications with speed, scale, and reliability. Companies that use this solution are able to to do analytics and applications simultaneously as data happens.

MapR provides access to a diversity of data sources including Apache Hadoop, Apache Spark, a distributed file system, a multi-model database management system, and event stream processing. The platform features high performance, simple deployment and TCO through its converged platform. Its NFS function allows users to copy to an NFS share that is distributed across the entire cluster.

Besides MapR Converged Data Platform, MapR offers following modules: MapR-XD, highly-scalable storage module; MapR Analytics and ML engines, for real-time analytics; MapR-DB, which is a high-performance NoSQL database; MapR-ES, the event streaming system for big data; The MapR Control System, for administering the MapR Converged Data Platform; MapR-Edge, for capturing, processing, and analyzing IoT data.

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.

Features:

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

Features:

  • Dashboard
  • Analytics
  • Scheduling
  • External Integrations
  • Notifications
  • Data Visualization
  • Data Import
  • Data Export
  • 2-Factor Authentication
  • API

Features:

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

Summary:

  • Memory First

  • Elastic Scalability

  • Persistence

  • Replication

  • Eventing

  • Query

  • Analytics

  • Full-Text Search

  • Indexing

  • Key Value

Summary:

  • Apache Hadoop

  • MapR-DB

  • Scalability

  • Standards-Based APIs and Tools

  • Manageability

  • Direct Access NFS™

  • Integrated Security

  • Multi-Tenancy

  • Consistent Snapshots

  • High Availability

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

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?
  • It is commonly used in tandem with various databases.

  • Who are the main user groups of this service?
  • Users of MapR are SMEs and large enterprises in Telecommunications, Healthcare, Financial Services, Retail, Media and Entertainment, Manufacturing, Oil and Gas, and Public Sector.

  • What platforms does this service support?
  • Users of MapR can choose the hardware, hypervisor, container and cloud platform that best suits their business. They will be able to move exabytes of data across edge, on-premises, and cloud deployments, as well as to automate data transfer across storage tiers, including SSD, HDD, and cloud.

  • Does this service offer an API?
  • Yes.

  • Does this service offer multi-user capability (e.g. teams)?
  • No.

  • What is this service generally used for?
  • This service is generally used for big data management.

  • Does this service offer guides, tutorials and or customer support?
  • Support: Community, On-Demand Training Options, FAQs, Knowledge Base, 24x7 Phone Support, Urgent Bug Fixes.

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.

Publisher:

Founded:
-
Based in:
-
Employees:
-
Likes:
7.16k
Followers:
156k

Publisher:

Founded:
-
Based in:
Santa Clara
Employees:
501-1000
Likes:
Followers:

Publisher:

Founded:
-
Based in:
-
Employees:
-
Likes:
4.5k
Followers:
5.07k

Other:

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

Other:

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

Other:

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