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Smartly.io VS IBM Cloud Pak for Data

Compare Smartly.io VS IBM Cloud Pak for Data and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Smartly.io logo Smartly.io

Smartly.io is the leading Facebook ad optimization solution for agencies and performance marketers

IBM Cloud Pak for Data logo IBM Cloud Pak for Data

Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.
  • Smartly.io Landing page
    Landing page //
    2023-10-09
  • IBM Cloud Pak for Data Landing page
    Landing page //
    2023-02-11

Smartly.io

Website
smartly.io
Pricing URL
Official Smartly.io Pricing
Release Date
2013 January
Startup details
Country
Finland
State
Southern Finland
City
Helsinki
Founder(s)
Kristo Ovaska
Employees
250 - 499
Edit details

IBM Cloud Pak for Data

Website
ibm.com
Pricing URL
-
Release Date
-
Edit details

Smartly.io videos

+ Add

How to Automate Facebook Advertising at Scale - Smartly.io

More videos:

  • Tutorial - Thomas Roberts, Smartly.io: how to scale facebook advertising
  • Review - Smartly.io Case Study for Hopper: Scale, automate and optimize hundreds of new offers every day

IBM Cloud Pak for Data videos

+ Add

IBM Cloud Pak for Data - Product Walkthrough

More videos:

  • Review - Overview of IBM Cloud Pak for Data

Category Popularity

0-100% (relative to Smartly.io and IBM Cloud Pak for Data)

Smartly.io

IBM Cloud Pak for Data

Small Business
100 100%
Small Business
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Business Network
100 100%
Business Network
0% 0
Data Integration
0 0%
Data Integration
100% 100

User comments

Share your experience with using Smartly.io and IBM Cloud Pak for Data. 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 Smartly.io and IBM Cloud Pak for Data

Smartly.io Reviews

We have no reviews of Smartly.io yet.
Be the first one to post

IBM Cloud Pak for Data Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
IBM Cloud Pak for Data is a fully-integrated, cloud native, data and AI platform designed for sophisticated DataOps and business analytics solutions. IBM boasts a potential for a 25-65% reduction in extract, transform, load (ETL) requests by eliminating the complexities of data integration of different data types and structures using Cloud Pak for Data. You can customize...
Source: theqalead.com

Social recommendations and mentions

Based on our record, Smartly.io seems to be more popular. It has been mentiond 1 time since March 2021. 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.

Smartly.io mentions (1)

  • [hiring] Mandarin speaking Full-time digital marketing specialist
    - Experience with PowerPoint, Excel (pivot tables and common formulas), and Microsoft Office. Experience using Smartly.io a plus. Source: almost 2 years ago

IBM Cloud Pak for Data mentions (0)

We have not tracked any mentions of IBM Cloud Pak for Data yet. Tracking of IBM Cloud Pak for Data recommendations started around Mar 2021.

What are some alternatives?

When comparing Smartly.io and IBM Cloud Pak for Data, you can also consider the following products

Facebook for Business - Facebook Business gives the latest news, advertising tips, best practices and case studies to meet the business goals.

Denodo - Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.

SocialPilot - SocialPilot is an app designed to help businesses and professionals with social media marketing.

data.world - The social network for data people

Fomo - Fomo turns your site into the online equivalent of a busy store

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

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