Try our new research platform with insights from 80,000+ expert users

Marketo vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 6, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Valuable Features

No sentiment score available
No sentiment score available
Teradata offers efficient, scalable data management with fast query performance, robust security, automation, and cloud flexibility for businesses.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
 

Room For Improvement

No sentiment score available
Sentiment score
4.4
Teradata users seek better transaction processing, enhanced scalability, modern interface, cloud focus, advanced analytics, and improved support and documentation.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
 

Stability Issues

No sentiment score available
Sentiment score
9.6
Teradata excels in stability with minimal downtime, robust architecture, 99.9% uptime, and reliable performance, despite minor large dataset issues.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
 

Scalability Issues

No sentiment score available
Sentiment score
5.2
Teradata is praised for its scalability, speed, and flexibility, despite some complexity and cost challenges in cloud environments.
This expansion can occur without incurring downtime or taking systems offline.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
 

Customer Service

No sentiment score available
Sentiment score
8.0
Teradata's customer service is praised for expertise but criticized for delays, with ratings ranging from 6 to 10 out of 10.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
 

Setup Cost

No sentiment score available
No sentiment score available
Teradata's high cost is justified by its superior performance, competitive total ownership costs, and flexible pricing models.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
 

Categories and Ranking

Marketo
Ranking in Marketing Management
5th
Average Rating
8.4
Number of Reviews
24
Ranking in other categories
Marketing Automation (3rd)
Teradata
Ranking in Marketing Management
6th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
76
Ranking in other categories
Customer Experience Management (3rd), Backup and Recovery (20th), Data Integration (17th), Relational Databases Tools (7th), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Cloud Data Warehouse (6th)
 

Featured Reviews

PradeepKumar25 - PeerSpot reviewer
Useful for lead capture and engagement across social media platforms
Before Marketo, I worked on the Oracle Eloqua platform, both B2B-based. Currently, I'm working on Salesforce Marketing Cloud. So, these are the three platforms on which I have good hands-on expertise. One key reason platforms like Salesforce Marketing Cloud are gaining traction is that they invest in marketing campaigns. They conduct many virtual and live events, aggressively marketing their products. This strategy convinces C-suite executives to buy into and implement the Salesforce platform, something that other bigger platforms lack. Most companies are migrating to Salesforce. I've migrated one of my projects from Marketo to Salesforce and encountered many opportunities where companies want to migrate from Marketo, HubSpot, or Oracle Eloqua to Salesforce. I've worked on Oracle Eloqua, which is also a B2B platform, and I've also worked on Marketo. The lead scoring, table structure, and rules we apply are quite straightforward compared to Marketo. In Marketo, it's a bit clumsy. Regarding lead scoring or moving leads through the sales funnel, Oracle Eloqua is better, but it's a bit pricey. So, Marketo ranks second in lead scoring or managing leads, and it highly depends on the respective CRM. The tool tracks significant events, such as form fills on websites or social media handles. All this data is captured and stored in Marketo for analysis. Marketo Analytics is connected with Adobe Analytics. This integration offers detailed reports on total clicks, views, form fills, subscriptions, lead conversions, and more. It's straightforward compared to Oracle Eloqua, which has its own Oracle Business Intelligence suite.Marketo's reporting tools are easy to use, making it a plug-and-play solution for anyone.
SurjitChoudhury - PeerSpot reviewer
Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities
We created and constructed the warehouse. We used multiple loading processes like MultiLoad, FastLoad, and Teradata Pump. But those are loading processes, and Teradata is a powerful tool because if we consider older technologies, its architecture with nodes, virtual processes, and nodes is a unique concept. Later, other technologies like Informatica also adopted the concept of nodes from Informatica PowerCenter version 7.x. Previously, it was a client-server architecture, but later, it changed to the nodes concept. Like, we can have the database available 24/7, 365 days. If one node fails, other nodes can take care of it. Informatica adopted all those concepts when it changed its architecture. Even Oracle databases have since adapted their architecture to them. However, this particular Teradata company initially started with its own different type of architecture, which major companies later adopted. It has grown now, but initially, whatever query we sent it would be mapped into a particular component. After that, it goes to the virtual processor and down to the disk, where the actual physical data is loaded. So, in between, there's a map, which acts like a data dictionary. It also holds information about each piece of data, where it's loaded, and on which particular virtual processor or node the data resides. Because Teradata comes with a four-node architecture, or however many nodes we choose, the cost is determined by that initially. So, what type of data does each and every node hold? It's a shared-no architecture. So, whatever task is given to a virtual processor it will be processed. If there's a failure, then it will be taken care of by another virtual processor. Moreover, this solution has impacted the query time and data performance. In Teradata, there's a lot of joining, partitioning, and indexing of records. There are primary and secondary indexes, hash indexing, and other indexing processes. To improve query performance, we first analyze the query and tune it. If a join needs a secondary index, which plays a major role in filtering records, we might reconstruct that particular table with the secondary index. This tuning involves partitioning and indexing. We use these tools and technologies to fine-tune performance. When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration. But, these technologies are quite old now. With newer big data technologies, we've worked with a four-layer architecture, pulling data from Hadoop Lake to Teradata. We configure Teradata with the appropriate hostname and credentials, and use BTEQ queries to load data. Previously, we converted the data warehouse to a CLD model as per Teradata's standardized procedures, moving from an ETL to an EMT process. This allowed us to perform gap analysis on missing entities based on the model and retrieve them from the source system again. We found Teradata integration straightforward and compatible with other tools.
report
Use our free recommendation engine to learn which Marketing Management solutions are best for your needs.
816,406 professionals have used our research since 2012.
 

Comparison Review

it_user232068 - PeerSpot reviewer
Aug 5, 2015
Netezza vs. Teradata
Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…
 

Top Industries

By visitors reading reviews
Computer Software Company
20%
Financial Services Firm
12%
Manufacturing Company
7%
Healthcare Company
6%
Financial Services Firm
26%
Computer Software Company
10%
Manufacturing Company
8%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Marketo?
One of the most important things about Marketo is its focus on GDPR compliance. It helps you follow GDPR and CAN-SPAM rules. For example, with Marketo, I won't accidentally target audiences without...
What needs improvement with Marketo?
Customer support could be more helpful. The reporting could be better, with more engaging reports and the ability to collaborate more objects, like opportunities. Incorporating AI features similar ...
What is your primary use case for Marketo?
We use Marketo to provide complex solutions that can be easily implemented. It is a great tool for managing lead databases.
Comparing Teradata and Oracle Database, which product do you think is better and why?
I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...
Which companies use Teradata and who is it most suitable for?
Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...
Is Teradata a difficult solution to work with?
Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...
 

Comparisons

 

Also Known As

No data available
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture
 

Learn More

 

Overview

 

Sample Customers

Marketo has a customer base of thousands of companies, including Sony, Citrix, BrightTALK, Curves International, HootSuite, Hyundai, SanDisk, and Samsung Electronics.
Netflix
Find out what your peers are saying about Marketo vs. Teradata and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.