LocalDB vs Teradata comparison

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LocalDB

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Executive SummaryUpdated on Apr 20, 2025

Teradata and LocalDB are competing products in the database management system market. Teradata has the upper hand due to its scalability and high-performance capabilities, particularly excelling at enterprise-level complex data warehousing tasks.

Features: Teradata offers scalability, high performance, and extensive analytics features such as in-database mining and parallel processing. Its architecture efficiently handles large data sets. LocalDB provides compatibility with on-premise and cloud solutions, and its streamlined installation offers simplicity and efficiency for smaller-scale database tasks.

Room for Improvement: Teradata faces challenges with cost and complexity, especially at high transaction levels and in cloud adoption. Additionally, there is a need for better tools for unstructured data and improvements in cloud services. LocalDB's limitations include handling larger data sets and lacking advanced analytics and replication capabilities.

Ease of Deployment and Customer Service: Teradata is versatile in deployment settings, from on-premises to hybrid cloud environments, fit for large-scale enterprise operations. However, its technical support, though highly rated, can experience delays. LocalDB is user-friendly with easy deployment in both on-premise and cloud environments, although it lacks the extensive support network of Teradata.

Pricing and ROI: Teradata is known for premium pricing, reflecting its sophisticated capabilities and high performance, requiring substantial investment but delivering strong ROI through enhanced analytics and efficiency. LocalDB is low-cost or free, ideal for budget-conscious deployments, providing cost-effective options for smaller projects without sacrificing basic functionality.

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

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LocalDB vs. Teradata

April 2025

Helped 850,028 peers since 2012

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

LocalDB

Ranking in Relational Databases Tools

17th

Average Rating

9.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Relational Databases Tools

7th

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), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

As of May 2025, in the Relational Databases Tools category, the mindshare of LocalDB is 2.7%, down from 2.8% compared to the previous year. The mindshare of Teradata is 5.3%, up from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools

Featured Reviews

Srini-Dhanaraj

Founder & CEO at imfine.club

The database always has structured data, like rows, columns, and bases

LocalDB is an excellent solution for learners, beginners, and projects of negligible size; it is very good. Any startup can use a local database to start. Once they grow beyond its limits, they can migrate to a MS SQL server that's also available on-premises. I rate it ten out of ten.

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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 solution is fast."

"The initial setup was simple."

"The initial setup is very straightforward. The guidelines are very easy to follow. Maintenance is very easy and requires very little manpower."

"LocalDB is an excellent solution for learners, beginners, and projects of negligible size; it is very good."

"The most valuable feature of LocalDBis the connection between the application and DB."

"It's very mature from a technology perspective."

"It effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."

"The functionality of the solution is excellent."

"Improved performance of ETL procedures, reporting."

"The product's scalability is great. Scalability-wise, I rate the solution a ten out of ten."

"The product is reliable."

"It has reduced a lot of reworking on maintaining indexes, partitions, etc."

"Designing the database is easy."

More Teradata pros

Cons

"It is only for a small amount of data. Local DB is made for the purpose of small-volume optics."

"The internal connection features of LocalDB could improve."

"The solution needs to create a management tool. Right now, the solution has tools for creating a local installation, but it's too simplistic. We need something that's a bit more complex so that we can extend the tools with our scripts."

"The ALM features can be improved, but the database by itself is reliable."

"The initial setup is complex and requires a skilled person."

"When backups are performed, it locks the database, preventing user access, which is a concern."

"I would like more security and speed."

"Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required)."

"There are some ways that the handling of unstructured data could be improved."

"Needs compatibility with more Big Data platforms."

"There is some improvement required on OLTP level and some analytical function is missing."

"The current operational approach needs improvement."

"The cost of Teradata Cloud Data Warehouse has room for improvement."

More Teradata cons

Pricing and Cost Advice

"The fees are fair."

"The licensing cost is too high for LocalDB."

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

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

"When looking into implementing this product, pricing is the main issue followed by technical expertise."

"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."

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

"The price of Teradata could be less expensive."

"The initial cost may seem high, but the TCO is low."

"Teradata used to be expensive, but they have been lowering their prices."

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

Financial Services Firm

15%

Computer Software Company

14%

Government

11%

Manufacturing Company

10%

Financial Services Firm

26%

Computer Software Company

11%

Healthcare Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about LocalDB?

The solution is fast.

What is your experience regarding pricing and costs for LocalDB?

It's free of cost.

What needs improvement with LocalDB?

Technically speaking, you don't need to get any updates because it's not online. It's on-premise. So once it is installed, then you get a desktop-grade version. But the purpose of LocalDB is not th...

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,...

Oracle Database In-Memory vs LocalDB

Comparisons

SQL Server vs LocalDB

Compared 81% of the time

MySQL vs LocalDB

Compared 11% of the time

MariaDB vs LocalDB

Compared 4% of the time

Compared 4% of the time

More LocalDB Competitors

Oracle Exadata vs Teradata

Compared 14% of the time

SQL Server vs Teradata

Compared 11% of the time

Snowflake vs Teradata

Compared 7% of the time

MySQL vs Teradata

Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 6% of the time

More Teradata Competitors

Product Reports

Relational Databases Tools

March 2025

Download LocalDB product report

Download Teradata product report

April 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

LocalDB is a lightweight version of the SQL Server Express Database Engine that is targeted for program development. LocalDB starts on demand and runs in user mode, so there is no complex configuration.

Microsoft

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

AstraZeneca, Kienzle Automotive GmbH, Kodak Alaris, Unilever, Floatel International and Kongsberg Maritime, MyHero

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