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.
About Talend
Talend uses high-scale, in-memory fast data processing for big data operation and data integration to help organizations make better real-time decisions. It helps them operate between batch, streaming and real-time while running on-premises, or in the cloud.
Talend is an ideal solution for data-hungry enterprises, giving them tools to monitor, audit, and understand data access. This service delivers big data, cloud storage, data integration, data management, master data management, data quality, data preparation and enterprise application integration solutions.
Talend offers following tools: Data Management for relational databases, flat files, and cloud apps; Big Data, which leverages the full power of big data; Real-Time Big Data Platform; Integration Cloud for connecting data sources; Data Preparation; MDM Platform; and Metadata Manager.
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.
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
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
Memory First
Elastic Scalability
Persistence
Replication
Eventing
Query
Analytics
Full-Text Search
Indexing
Key Value
Summary
Free Open Source Apache License
ETL and ELT support
Versioning
Export and Execute Standalone Jobs in Runtime Environments
Hadoop & NoSQL
MapReduce & Spark
Generates Native Spark Streaming Code
Automate Data Quality Error Resolution and Enforce Rules
Cloud: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and more
File Management: open, move, compress, decompress without scripting
Summary
Apache Hadoop
MapR-DB
Scalability
Standards-Based APIs and Tools
Manageability
Direct Access NFS™
Integrated Security
Multi-Tenancy
Consistent Snapshots
High Availability
FAQs
Does this service offer guides, tutorials and or customer support?
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
Does this service offer multi-user capability (e.g. teams)?
Yes.
What is this service generally used for?
This service is used for big data integration.
What platforms does this service support?
Talend offers both cloud-based and on-premise deployments.
Who are the main user groups of this service?
Users of Talend are enterprises spanning all verticals, from Fortune 100 enterprises to startups.
Does this service offer an API?
Yes, Talend offers API.
Does this service offer guides, tutorials and or customer support?
Support: Technical Support, Consulting, Training, Community Support, Help Center, Email Support.
Does this service integrate with any other apps?
Integrations: SAP, Microsoft Dynamics, Sugar CRM, Dropbox, Box, SMTP, FTP/SFTP, LDAP, Marketo, Salesforce, NetSuite, Oracle, Teradata, Microsoft SQL server.
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?