Meraki Location Analytics vs Teradata comparison

Meraki Location Analytics

Read 76 Teradata reviews

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87% willing to recommend

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 12, 2025

Teradata and Meraki Location Analytics are in the analytics space. Teradata has the upper hand in scalability and advanced analytical capabilities, making it suitable for large enterprises. Meraki is preferred for integration and user-friendly interface.

Features: Teradata offers powerful data warehousing solutions, high scalability, and supports large volumes of complex data analytics. Meraki provides real-time location data, ease of integration, and immediate analytics for location-based insights.

Ease of Deployment and Customer Service: Teradata has a complex deployment model that requires specialized skills and longer setup. Its customer service is comprehensive but complicated. Meraki offers straightforward deployment, faster implementation, and excellent customer service, focusing on speed and simplicity.

Pricing and ROI: Teradata's setup costs are higher, supporting robust data analytics with substantial ROI in data-heavy operations seeking detailed analyses. Meraki is priced at a premium but delivers significant ROI due to agility and ease of integration, justifying its higher cost with quick accessibility and deployment.

To learn more, read our detailed Meraki Location Analytics vs. Teradata Report (Updated: April 2025).

Meraki Location Analytics vs. Teradata

April 2025

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Review summaries and opinions

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

Categories and Ranking

Meraki Location Analytics

Ranking in BI (Business Intelligence) Tools

21st

Average Rating

9.4

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in BI (Business Intelligence) Tools

10th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (17th), Relational Databases Tools (7th), Data Warehouse (3rd), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

As of April 2025, in the BI (Business Intelligence) Tools category, the mindshare of Meraki Location Analytics is 0.3%, up from 0.2% compared to the previous year. The mindshare of Teradata is 0.8%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools

Featured Reviews

Mike Scofield

Director of Technology at a educational organization with 51-200 employees

Location analytics helps in finding rogue hotspots and locating missing devices

I use Location Analytics occasionally to identify a rogue hotspot or to find the last location of a missing device. In some cases, if there is an interference issue, I might be able to determine the location. However, such instances are unusual I use Location Analytics to identify rogue hotspots…

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SurjitChoudhury

Data engineer at Cocos pt

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.

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Quotes from Members

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

Pros

"The initial setup process is easy."

"I use Location Analytics to identify rogue hotspots and find the last location of missing devices."

"The pricing and licensing for Meraki are good, and I would rate it as a nine out of ten."

"Technical support has always been very good."

"The stability of the solution is excellent, and I would rate it a ten out of ten."

"I like Location Analytics' geofencing features for devices. You can manage thousands of devices with just a push of a button and deploy applications in seconds. For example, in schools, you can deploy an app update for thousands of iPads in just two clicks."

"In general, it is helpful because it allows administrators to see where the Wi-Fi and network services are being most used."

"It handles large amounts of information with a linear performance increase, in relation to a HW investment."

"The data processing, clustering, and distributed computing are impressive."

"I like this solution's ease of design and the fact that its performance is quite good. It is stable as well."

"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."

"I've never had any issues with scalability."

"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."

"The initial setup was straightforward."

"Building a data warehouse with Teradata has definitely helped a lot of our downstream applications to more easily access information."

More Teradata pros

Cons

"The technical support before implementation could be better for premium partners."

"My biggest complaint with Meraki Location Analytics is the lack of visibility into the back end. Everything we do is through a customer GUI, and there's limited access to CLI functions."

"The biggest issue is negotiating the price with a client. That's the most complicated part, but the product is worth it."

"The pricing is a pain point for us. It's a bit expensive."

"There are no specific areas for improvement as everything is working very well."

"I would like to see all of the features included in a single package."

"The solution’s pricing, scalability, and technical support response time could be improved."

"Sometimes the large injestion takes days to load data, and some of our stored procedures take two to three days."

"Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect."

"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."

"It could use some more advanced analytics relating to structured and semi-structured data."

"It could be a bit more user-friendly."

"Their level of technical support is adequate. It could be better."

"Teradata's UI could be more user-friendly."

More Teradata cons

Pricing and Cost Advice

"They have different tiers of pricing including one-year, three-year, five-year, seven-year, and ten-year."

"The product is less expensive compared to other vendors for gold partners."

"Teradata's licensing is on the expensive side."

"Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world."

"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."

"The cost of running Teradata is quite high, but you get a good return on investment."

"The price of the solution could be reduced, it is expensive."

"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."

"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."

"I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services."

More Teradata pricing and cost advice

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Comparison Review

it_user232068

Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees

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…

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

26%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Meraki Location Analytics?

The initial setup process is easy.

What is your experience regarding pricing and costs for Meraki Location Analytics?

The pricing for Meraki Location Analytics is comparable to other solutions in the market. When we moved to Meraki Location Analytics, we benefited from not needing to buy outdoor-rated AP enclosure...

What needs improvement with Meraki Location Analytics?

My biggest complaint with Meraki Location Analytics ( /categories/location-intelligence-platforms ) is the lack of visibility into the back end. Everything we do is through a customer GUI, and ther...

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,...

Microsoft Power BI vs Meraki Location Analytics

Comparisons

Compared 100% of the time

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Compared 14% of the time

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Compared 11% of the time

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Compared 7% of the time

Snowflake vs Teradata

Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

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Product Reports

BI (Business Intelligence) Tools

March 2025

Download Meraki Location Analytics product report

Download Teradata product report

March 2025

Also Known As

No data available

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture

Overview

Cisco Meraki's location analytics and engagement solution displays real-time location statistics to improve customer engagement and loyalty across sites. Data collected by intelligent Meraki APs is synced with the Meraki cloud, automatically reported in the dashboard, and exported to third-party applications via the Cisco Meraki Location Analytics API.

Cisco

Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.

As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.

What are the most important features of Teradata?

Linear Scalability: Easily expands data processing capabilities to handle increasing data loads without performance degradation.
Advanced Analytics: Supports complex analytical operations integrating machine learning and AI for predictive insights.
SQL Compatibility: Offers a comprehensive SQL interface that supports complex queries across diverse data types.
Data Security: Implements rigorous security protocols to protect data integrity and confidentiality.

What benefits and ROI should users look for?

Improved Decision-Making: Derive actionable insights quickly for strategic business decisions.
Cost Efficiency: Optimized resource usage reduces operational costs associated with data processing.
Increased Productivity: Streamlined data operations save time, allowing teams to focus on analysis.
Enhanced Scalability: Seamless growth without significant additional investment as data volumes increase.

Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.

Sample Customers

Ladbrokes, Neinver, Westwind School Division, The Salvation Army, Queensland Airports Limited

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