Compare MapR vs Couchbase

About MapR

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.

About Couchbase

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.

Features

• 2-Factor Authentication
• A/B Testing
• Analytics
• API
• Calendar Management
• Contact Management
• Dashboard
• Data Export
• Data Import
• Data Mining
• Data Visualization
• External Integrations
• Forecasting
• Keyword Tracking
• Multi-User
• Notifications
• Scheduling
• SEO

Features

• 2-Factor Authentication
• A/B Testing
• Analytics
• API
• Calendar Management
• Contact Management
• Dashboard
• Data Export
• Data Import
• Data Mining
• Data Visualization
• External Integrations
• Forecasting
• Keyword Tracking
• Multi-User
• Notifications
• Scheduling
• SEO

Summary

• Apache Hadoop

• MapR-DB

• Scalability

• Standards-Based APIs and Tools

• Manageability

• Direct Access NFS™

• Integrated Security

• Multi-Tenancy

• Consistent Snapshots

• High Availability

Summary

• Memory First

• Elastic Scalability

• Persistence

• Replication

• Eventing

• Query

• Analytics

• Full-Text Search

• Indexing

• Key Value

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

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.

Vendor Information

Vendor Information

Other

• SMEs
• Enterprises

• Windows
• Macintosh

Other

• Enterprises

• Windows
• Macintosh