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SingleStore vs Teradata comparison

 

Comparison Buyer's Guide

Executive Summary

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

SingleStore
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
7
Ranking in other categories
Database as a Service (DBaaS) (7th), Vector Databases (13th)
Teradata
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
76
Ranking in other categories
Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (17th), Relational Databases Tools (7th), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)
 

Mindshare comparison

While both are Databases solutions, they serve different purposes. SingleStore is designed for Database as a Service (DBaaS) and holds a mindshare of 1.7%, up 0.8% compared to last year.
Teradata, on the other hand, focuses on Data Warehouse, holds 16.3% mindshare, up 15.2% since last year.
Database as a Service (DBaaS)
Data Warehouse
 

Featured Reviews

Hitesh Kunchakuri - PeerSpot reviewer
A reasonably priced product that offers good speed and seamless support
Currently, I can't think of any areas that require improvement because SingleStore was recently launched in the market. The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings. The current SingleStore model provides output based on the RANK function. If a user searches for a liquor bottle, then with all the data the product has, it will search for the liquor bottle in the data, and based on a match, the product has an algorithm to rank the product because of which the paragraph that has the best match will be ranked as a 100, the next one as 99, following which the next product will be ranked as 98 and so on. The output from the solution will fetch you all the 100 products that are available in a store, but sometimes a user might require a product with a 97 or 98 percent match from the DB, meaning the product doesn't always work to provide a 100 percent match, an area I feel that can be optimized in the product. Currently, SingleStore's features are excellent as it can read documents, images, and everything. The product works seamlessly for me.
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.

Quotes from Members

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

Pros

"The product can automatically reinstall and reconfigure in case of a shutdown."
"The product's initial setup phase was pretty straightforward, with no complex processes."
"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
"It's a distributed relational database, so it does not have a single server, it has multiple servers. Its architecture itself is fast because it has multiple nodes to distribute the workload and process large amounts of data."
"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."
"The paramount advantage is the exceptional speed."
"It's very mature from a technology perspective."
"The ability to handle machine data parallel processing is the most valuable feature of Teradata."
"We did performance testing. We had a set of real life MicroStrategy reports. Our conditions were: Not allowed to redesign data model, not allowed to rewrite the queries, all queries should be generated by MicroStrategy, no aggregates. Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server."
"The data processing, clustering, and distributed computing are impressive."
"The most valuable feature of Teradata is the quick processing of large data."
"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."
"It is a stable program."
"The solution's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good."
 

Cons

"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
"The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings."
"We don't get good discounts in Pakistan."
"For new customers, it's very tough to start. Their documentation isn't organized, and there's no online training available. SingleStore is working on it, but that's a major drawback."
"Having the ability to migrate servers using a single command would be extremely beneficial."
"The solution needs improvement in its stability, support and pricing."
"I would like more security and speed."
"Teradata has a few AI models, but in data science, we need more flexibility."
"Stability-wise, we have had some issues with automation and the ability to handle large datasets."
"Teradata can improve the way it handles big data and unstructured data."
"It could use some more advanced analytics relating to structured and semi-structured data."
"I would like more security and speed."
"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."
 

Pricing and Cost Advice

"They have two main options: cloud installation and bare-metal installation, each with different pricing models."
"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."
"The price of the product is okay compared to the other available solutions in the market. SingleStore is a reasonably priced product, considering the functions it offers."
"I would advise users to try the free 128GB version."
"SingleStore is a bit expensive."
"The product's licensing is not expensive. It is comparable."
"We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."
"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."
"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."
"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
"The cost is significantly high."
"The price of Teradata could be less expensive."
"It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors."
"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."
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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
Financial Services Firm
33%
Computer Software Company
13%
Healthcare Company
5%
Manufacturing Company
5%
Financial Services Firm
26%
Computer Software Company
11%
Manufacturing Company
7%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about SingleStore DB?
The paramount advantage is the exceptional speed.
What is your experience regarding pricing and costs for SingleStore DB?
Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure. While building an on-premise cluster incurs an initial cost for servers with ample RAM...
What needs improvement with SingleStore DB?
There's a noteworthy consideration when it comes to collecting massive amounts of data. It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation...
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
 

Overview

 

Sample Customers

6Sense, ADNOC, Adobe, Akamai, CARFAX, Cigna, Cisco, Comcast, DBS Bank, Dell, Dentsu, EY, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, Kakao, Kroger, LG, LiveRamp, Lumana, NBC, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, Siemens, SiriusXM, SK Telecom, SKAI, Sony, State Street Financial, STC, SunRun, TATA, Thorn, and ZoomInfo.
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