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Talend VS Qrvey

Compare Talend VS Qrvey and see what are their differences

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Talend logo Talend

Talend Cloud delivers a single, open platform for data integration across cloud and on-premises environments. Put more data to work for your business faster with Talend.

Qrvey logo Qrvey

Embedded Analytics built exclusively for SaaS applications.
Visit Website
  • Talend Landing page
    Landing page //
    2023-06-20
  • Qrvey Landing page
    Landing page //
    2023-11-21
  • Qrvey
    Image date //
    2024-05-20
  • Qrvey
    Image date //
    2024-05-20

Qrvey is the only purpose-built solution for embedded analytics

Qrvey is the only solution for embedded analytics with a built-in data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application.

Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less.

Qrvey’s multi-tenant data lake includes:

  • Elasticsearch as the analytics engine
  • A unified data pipeline for ingestion and transformation
  • A complete semantic layer for simple user and data security integration

Qrvey’s embedded visualizations support everything from: - Standard dashboards and templates - Self-service reporting - User-level personalization - Individual dataset creation - Data-driven workflow automation

Qrvey delivers this as a self-hosted package for cloud environments. This offers the best security as your data never leaves your environment while offering a better analytics experience to users.

The result: Less time and money on analytics.

Talend features and specs

No features have been listed yet.

Qrvey features and specs

  • Embedded Dashboards: Yes
  • Embedded Dashboard Builders: Yes
  • Embedded Single Charts/Metrics: Yes
  • Embedded Single Chart/Metric Builder: Yes
  • Data Warehouse: Yes
  • ETL: Yes
  • Alerts and Automation: Yes
  • Embedded Pixel-Perfect Reports: Yes
  • Native Multi-Tenant Data Security: Yes
  • Tenant Specific Content Deployment: Yes
  • Prebuilt Data Connectors (Redshift, PostgreSQL, Snowflake, etc): Yes

Talend videos

+ Add

Talend Software Review

More videos:

  • Tutorial - Talend ETL Tutorial | Talend Tutorial For Beginners | Talend Online Training | Edureka
  • Tutorial - What is Talend | Talend Tutorial for Beginners | Talend Online Training | Edureka

Qrvey videos

+ Add

Qrvey Embedded Analytics Demo

More videos:

  • Demo - Qrvey Intro Video

Category Popularity

0-100% (relative to Talend and Qrvey)

Talend

Qrvey

Data Integration
100 100%
Data Integration
0% 0
Data Dashboard
29 29%
Data Dashboard
71% 71
ETL
100 100%
ETL
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100

Questions and Answers

As answered by people managing Talend and Qrvey.

How would you describe your primary audience?

Qrvey's answer:

Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies

What makes your product unique?

Qrvey's answer:

Qrvey takes a different approach to embedded analytics. Instead of focusing almost completely on the front end, we know that any analytics function starts with data.

Qrvey includes a full-featured data lake powered by Elasticsearch, not a basic relational caching layer. Furthermore, by including a data lake, the cost to scale out is much less than traditional data warehouses.

For the user-facing components of the platform, Qrvey offers more embedded components and APIs to personalize the experience beyond static dashboards. Qrvey offers:

  • Everything is a JS embed, no iFrames
  • Dashboards and builders
  • Dataset creation for individual users
  • No-code workflow automation
  • Full white-labeling and CSS support

All of this is backed by a semantic layer that makes integrating Qrvey into the security model of SaaS applications simple.

Why should a person choose your product over its competitors?

Qrvey's answer:

Customers choose Qrvey for the following reasons:

  • In-house engineering teams spend less time developing analytics features
  • Infrastructure costs are significantly less
  • Engineering teams get JS embeds and a richer API suite than anyone else
  • Fully customizable to blend in seamlessly with the parent SaaS application

User comments

Share your experience with using Talend and Qrvey. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Talend and Qrvey

Talend Reviews

Top 14 ETL Tools for 2023
While some users will find the open-source version of Talend (Talend Open Studio) sufficient, larger enterprises will likely prefer Talend’s paid Data Integration platform. This version of Talend includes additional tools and features for design, productivity, management, monitoring, business intelligence, and data governance.
Source: www.integrate.io
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Talend is one of the best AWS RedShift ETL tools. It allows you to quickly build integration processes by moving components into the graphical workspace, defining connections and relationships, and setting specific properties. This approach helps to create jobs and monitor the progress of their execution.
Source: visual-flow.com
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
Talend also has Master Data Management (MDM) functionality, which allows organizations to have a single, consistent and accurate view of key enterprise data. This can create better transparency across a business, and lead to better operational efficiency, marketing effectiveness and compliance.
Source: blog.panoply.io

Qrvey Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
Qrvey is an embedded analytics platform used for SaaS data, analytics, and automation technologies. You can deploy it right into your pre-existing AWS account in order to visualize your entire data pipeline. Their start-ups package includes specialized support for pre-launch or early-launch companies, like quick installation and launch, serverless analytics scalability,...
Source: theqalead.com
Top 5 Embedded Analytics Tools for Amazon Redshift (Plus 1 Bonus Option)
Qrvey is an embedded analytics and automation tool designed specifically for SaaS applications. It connects directly to AWS and offers an all-in-one platform that includes data collections, analysis, visualizations, automation, and more.
Source: yurbi.com

Social recommendations and mentions

Qrvey might be a bit more popular than Talend. We know about 1 link to it since March 2021 and only 1 link to Talend. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Talend mentions (1)

  • Couldn't parse value for column 'ID' in 'row1'
    Hello all im new to talend and im trying to do the tutorials provided by talend.com here:. Source: almost 2 years ago

Qrvey mentions (1)

  • Looking for an embedded report builder solution that doesn't require giving a third-party access to the data
    Since you're on AWS already, check out https://qrvey.com. Source: 7 months ago

What are some alternatives?

When comparing Talend and Qrvey, you can also consider the following products

Matillion - Matillion is a cloud-based data integration software.

DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.

Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

Syndigo - Syndigo is an online management platform that provides access to the world’s biggest global content database of digital information.

Talend Data Services Platform - Talend Data Services Platform is a single solution for data and application integration to deliver projects faster at a lower cost.

AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.

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