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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 Panoply

With click and collect functionality for any type of data, from structured to semi-structured, Panoply can gather data from your favorite SaaS API, any database, file store, or even flat files. No coding or engineering knowledge is required. You simply connect to your data source and click one button to start collecting data. As we gather your data we automatically build your data model. As you grow Panoply’s elastic warehouse scales and optimizes with your data. You can schedule your data to refresh as often as you need. As new data is collected Panoply automatically adjusts the data model and scales infrastructure for maximum performance.

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

  • 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

  • Instantly ingest ANY data source with Built-in ETL

  • Standard SQL bench for querying directly in the data warehouse

  • Seamlessly connect to ANY BI visualization tool of your choice

  • Data modeled automatically thanks to natural language processesing

  • Built-n scalability and storage optimization thanks to machine learning

  • Automated performance optimization of storage and queries for a superior concurrency experience

Summary

  • Apache Hadoop

  • MapR-DB

  • Scalability

  • Standards-Based APIs and Tools

  • Manageability

  • Direct Access NFS™

  • Integrated Security

  • Multi-Tenancy

  • Consistent Snapshots

  • High Availability

Pricing

Starter

$249.00
company license
Included in plan:
  • 25 million rows
  • up to 12.5 GB of Storage
  • Unlimited Queries

PRO

$499.00
company license
Included in plan:
  • 100 million rows
  • up to 50 GB of Storage
  • Unlimited Queries

Business

$749.00
company license
Included in plan:
  • Dedicated Data Architect
  • 200 million rows
  • up to 100 GB of Storage
  • Unlimited Queries

Custom - enterpise


Custom Enterprise license
Included in plan:
  • Any # of Sources
  • Any # of Rows
  • Elastic Storage
  • Unlimited Queries
  • Dedicated Data Architect

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

    Does this service offer guides, tutorials and or customer support?
  • Yes, we have or online resources, including documentation, demos/tutorial vids, Community Forum of friendly users, live chat (not a bot! ) and our expert Data Architects who are on-call and always ready to help our customers or prospective customers.

  • Does this service offer an API?
  • We have an SDK.

  • Does this service offer multi-user capability (e.g. teams)?
  • Yes, we support teams with specific permission controls.

  • Who are the main user groups of this service?
  • Business analysts, data analysts, data engineers, and data scientists. Essentially, anyone working with analytics can easily use Panoply to gather any data sources and seamlessly connect to any BI visualization tool without being tech savvy or needing IT and engineering help to do so.

  • Does this service integrate with any other apps?
  • Yes, more than 150 apps, services & APIs. Panoply can seamlessly ingest any data source with its built-in ETL and instantly render the data to be ready to be queried - no coding or data engineering required.

  • What platforms does this service support?
  • We have over 150 integrations with databases, APIs, web apps and more. Go to the Panoply.io integrations page to see all of our integration partners.

  • What are some applications this service is commonly used in tandem with?
  • Chartio, Looker, Tableau, PowerBI and any standard SQL Workbench; R and python.

  • What is this service generally used for?
  • For citizen analysts that are dissatisfied with IT limiting their ability to provide data-driven insights, Panoply is a self-serve smart cloud data warehouse that automates and simplifies the data stack. Unlike in-house IT, we have assembled a "data team in a box" that empowers analysts to push a button and get a data warehouse up and running in minutes, not days.

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.

Vendor Information

Founded:
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Based in:
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Employees:
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Likes:
Followers:

Vendor Information

Founded:
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Based in:
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Employees:
-
Likes:
Followers:
6.93k

Vendor Information

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

Other

Who uses Talend
  • Enterprises
Desktop Platforms:
  • Web App
  • Windows
  • Macintosh
Languages:
German, Japanese, French, Italian, English
Regional Restrictions:
No restrictions.

Other

Who uses Panoply
  • Startups
  • SMEs
  • Agencies
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
English
Regional Restrictions:
No restrictions.

Other

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