Equalum vs Teradata comparison

Equalum and Teradata are both solutions in the Data Integration category. Equalum is ranked #58, while Teradata is ranked #17 with an average rating of 7.5. Equalum holds a 0.2% mindshare in DI, compared to Teradata’s 1.0% mindshare. Additionally, 100% of Equalum users are willing to recommend the solution, compared to 87% of Teradata users who would recommend it.

Equalum

Read 7 Equalum reviews

330 Views
144 Comparison Views

100% willing to recommend

Teradata

Read 76 Teradata reviews

867 Views
633 Comparison Views

87% willing to recommend

Equalum

Teradata

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Executive SummaryUpdated on Apr 20, 2025

Teradata and Equalum operate in the data management and analytics segment. Teradata often holds an advantageous position due to its large-scale data warehousing capabilities, though Equalum's ease of use for integration tasks is noteworthy.

Features: Teradata provides comprehensive indexing options, advanced parallel processing, and scalable architecture for efficiently handling vast datasets. Equalum focuses on seamless data integration with Change Data Capture (CDC) and hybrid ETL capabilities, offering a user-friendly interface that simplifies complex processes.

Room for Improvement: Teradata needs to refine its cost structure and improve cloud integration and support for unstructured data. Equalum can enhance its database integration options and improve its documentation and deployment processes.

Ease of Deployment and Customer Service: Teradata offers flexible deployment options across on-premises, cloud, and hybrid environments, with generally positive customer service. Equalum ensures easy deployment, especially in hybrid and cloud setups, and is recognized for its responsive customer service.

Pricing and ROI: Teradata's high pricing could be restrictive for smaller enterprises but is often justified by performance and reliability benefits for large-scale projects. Equalum is also priced higher than some rivals but compensates with functional breadth and long-term value, promising solid ROI.

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

Buyer's Guide

Equalum 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

Equalum

Ranking in Data Integration

58th

Average Rating

9.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Replication (17th), Cloud Data Integration (27th)

Teradata

Ranking in Data Integration

17th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

As of May 2025, in the Data Integration category, the mindshare of Equalum is 0.2%, up from 0.1% compared to the previous year. The mindshare of Teradata is 1.0%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

reviewer1525674

Managing Director at a consultancy with 11-50 employees

Frees staff to focus on data workflow and on what can be done with data, and away from the details of the technology

There are areas they can do better in, like most software companies that are still relatively young. They need to expand their capabilities in some of the targets, as well as source connectors, and native connectors for a number of large data sources and databases. That's a huge challenge for every company in this area, not just Equalum. If I had the wherewithal to create a tool that could allow for all that connectivity, it would be massive, out-of-the-box. There are all the updates every month. An open source changes constantly, so compatibility for these sources or targets is not easy. And a lot of targets are proprietary and they actually don't want you to connect with them in real time. They want to keep that connectivity for their own competitive tool. What happens is that a customer will say, "Okay, I've got Oracle, and I've got MariaDB, and I've got SQL Server over here, and I've got something else over there. And I want to aggregate that, and put it into Google Cloud Platform." Having connectors to all of those is extremely difficult, as is maintaining them. So there are major challenges to keeping connectivity to those data sources, especially at a CDC level, because you've got to maintain your connectors. And every change that's made with a new version that comes out means they've got to upgrade their version of the connector. It's a real challenge in the industry. But one good thing about Equalum is that they're up for the challenge. If there's a customer opportunity, they will develop and make sure that they update a connector to meet the needs of the customer. They'll also look at custom development of connectors, based on the customer opportunity. It's a work in progress. Everybody in the space is in the same boat. And it's not just ETL tools. It's everybody in the Big Data space. It's a challenge. The other area for improvement, for Equalum, is their documentation of the product. But that comes with being a certain size and having a marketing team of 30 or 40 people and growing as an organization. They're getting there and I believe they know what the deficiencies are. Maintaining and driving a channel business, like Equalum is doing, is really quite a different business model than the direct-sales model. It requires a tremendous amount of documentation, marketing information, and educational information. It's not easy.

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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

"All our architectural use cases are on a single platform, not multiple platforms. You don't have to dump into different modules because it is the same module everywhere."

"The main impact for Oracle LogMiner is the performance. Performance is drastically reduced if you use the solution’s Oracle Binary Log Parser. So, if we have 60 million records, initially it used to take a minute. Now, it takes a second to do synchronization from the source and target tables."

"Equalum provides a single platform for core architectural use cases, including CDC replication, streaming ETL, and batch ETL. That is important to our clients because there is no other single-focus product that covers these areas in that much detail, and with this many features on the platform. The fact that they are single-minded and focused on CDC and ETL makes this such a rich solution. Other solutions cover these things a little bit in their multi-function products, but they don't go as deep."

"It's got it all, from end-to-end. It's the glue. There are a lot of other products out there, good products, but there's always a little bit of something missing from the other products. Equalum did its research well and understood the requirements of large enterprise and governments in terms of one tool to rule them all, from a data migration integration perspective."

"I found two features in Equalum that I consider the most valuable. One is that Equalum is a no-code tool. You can do your activities on its graphical interface, which doesn't require complex knowledge of extracting, changing, or loading data. Another feature of Equalum that I like the most is that it monitors the data transfers and tells you if there's any issue so that you can quickly check and correct it. Equalum also tells you where the problem lies, for example, if it's a hardware or communication issue."

"Equalum is real-time. If you are moving from an overnight process to a real-time process, there is always a difference in what reports and analytics show compared to what our operational system shows. Some of our organizations, especially finance, don't want those differences to be shown. Therefore, going to a real-time environment makes the data in one place match the data in another place. Data accuracy is almost instantaneous with this tool."

"It's a really powerful platform in terms of the combination of technologies they've developed and integrated together, out-of-the-box. The combination of Kafka and Spark is, we believe, quite unique, combined with CDC capabilities. And then, of course, there are the performance aspects. As an overall package, it's a very powerful data integration, migration, and replication tool."

"Equalum has resulted in system performance improvements in our organization. Now, I am ingressing data off of multiple S3 sources, doing data processing, and formatting a schema. This would usually take me a couple of days, but now it takes me hours."

"The product is reliable."

"IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want."

"The feature that we find most valuable is its ability to perform Massive Parallel Processing."

"Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL tools"

"Cuts time to process huge amounts of data with efficient analytical queries."

"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 solution scales well on the cloud."

"I like writing preformance queries for preprocessing on AWS Cloud."

More Teradata pros

Cons

"The deployment of their flows needs improvement. It doesn't work with a typical Git branching and CI/CD deployment strategy."

"Their UI could use some work. Also, they could make it just a little faster to get around their user interface. It could be a bit more intuitive with things like keyboard shortcuts."

"Right now, they have a good notification system, but it is in bulk. For example, if I have five projects running and I put a notification, the notification comes back to me for all five projects. I would like the notification to come back only for one project."

"If you need to use the basic features of Equalum, for example, you don't even need data integration, then many competitors in the market can give you basic features. For instance, if you need batch ETL, you can pick among solutions in the market that have been around longer than Equalum. What needs improvement in Equalum is replication, as it could be faster. Equalum also needs better integration with specific databases such as Oracle and Microsoft SQL Server."

"I should be able to see only my project versus somebody else's garbage. That is something that would be good in future. Right now, the security is by tenants, but I would like to have it by project, e.g., this project has this source and flows in these streams, and I have access to this on this site."

"They need to expand their capabilities in some of the targets, as well as source connectors, and native connectors for a number of large data sources and databases. That's a huge challenge for every company in this area, not just Equalum."

"There is not enough proven integration with other vendors. That is what needs to be worked on. Equalum hasn't tested anything between vendors, which worries our clients. We need more proven vendor integration. It is an expensive product and it needs to support a multi-vendor approach."

"GUI of administrative tools is really outdated."

"Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions."

"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."

"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."

"Teradata hardly supports unstructured data or semi-structured data"

"There is a need to improve performance in high transaction processes, as well as the reporting system."

"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."

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

More Teradata cons

Pricing and Cost Advice

"Equalum is rather expensive compared to its competitors. So, you have to make up that cost in time savings, and we usually do that. If we are saving money, it is because we are reducing our development time."

"They have a very simple approach to licensing. They don't get tied up with different types of connectivity to different databases. If you need more connectors or if you need more CPU, you just add on. It's component-based pricing."

"Equalum was reasonably priced. It is not like those million dollar tools, such as Informatica."

"As soon as you have more than six users, Equalum is lower in cost [than Talend] and if the group gets bigger, it's quite a big delta. If more users want to use it, you don't end up with an increase in licensing costs, so that makes it very easy. And if you need more licenses or more sources, it's a very simple upgrade methodology."

"Equalum licensing costs vary, but I won't be able to give information on its fees."

"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."

"The cost is significantly high."

"Teradata pricing is fine, and it's competitive with all the legacy models. On a scale of one to five, with one being the worst and five being the best, I'm giving Teradata a three, because it can be a little expensive, when compared to other solutions."

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

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

"In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."

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

"Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end product."

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

Manufacturing Company

18%

Computer Software Company

17%

Financial Services Firm

14%

Healthcare Company

10%

Financial Services Firm

26%

Computer Software Company

11%

Healthcare Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Why should I use Equalum instead of LogMiner?

You'd want to use the Equalium Oracle Binary Log Parser because it's just better than the LogMiner. Sure, LogMiner is made by Oracle and probably the team knows some insight to make it efficient th...

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Is Equalum compatible with all databases?

I'm using Equalum's data replication software for Oracle because that's the one database it's designed for. While it may sound limiting, when you find out how many solutions it can provide for you ...

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Can I use Equalum for free?

No, it's not free but you can benefit from a free trial, though. There's an option to try their platform for a limited amount of time, so that may be useful to help you decide if you want to contin...

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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...

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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...

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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,...

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Comparisons

No data available

Oracle Exadata vs Teradata

Compared 14% of the time

SQL Server vs Teradata

Compared 10% 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

Buyer's Guide

Equalum

May 2025

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Buyer's Guide

Teradata

April 2025

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Also Known As

No data available

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

Overview

Equalum is a fully-managed, end-to-end data integration and real-time data streaming platform, powered by industry-leading change data capture (CDC) tech and modern data transformation capabilities (streaming ETL and ELT). Equalum's enterprise-grade platform features intuitive UI allowing you to build robust, real-time data pipelines in minutes.

Equalum

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.

Teradata

Sample Customers

SIEMENS, GSK, Wal-Mart, T Systems

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Buyer's Guide

Equalum vs. Teradata

April 2025

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