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

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
6
Ranking in other categories
Database as a Service (DBaaS) (12th), Vector Databases (15th)
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 (15th), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (6th), Cloud Data Warehouse (4th)
 

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 2.2%, up 0.9% compared to last year.
Teradata, on the other hand, focuses on Data Warehouse, holds 15.2% mindshare, down 15.5% since last year.
Database as a Service (DBaaS)
Data Warehouse
 

Featured Reviews

Yasin Sarı - PeerSpot reviewer
High-speed data processing, seamless scalability, and excellent high availability making it an optimal choice for those prioritizing performance and efficiency in a database solution
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 tasks. Attempting to use it for direct extraction, for instance, might lead to memory-related challenges. While MySQL version five might lack extensive SQL capabilities, SingleStore also has its constraints, requiring simpler SQL writing. This becomes evident when seeking advanced functionalities like window functions or JSON functions, where SingleStore doesn't offer an extensive toolkit, necessitating a more straightforward approach to SQL.
RajeshKumar25 - PeerSpot reviewer
Harnessing advanced parallelism for top performance while embracing cloud trends
Teradata is primarily used for data warehousing across all customers. My clients have built-in applications that use Teradata, and their use varies from customer to customer, depending on the industry and database size. The primary function is as an OLAP analytical ecosystem Scalability is…

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 paramount advantage is the exceptional speed."
"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."
"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."
"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."
"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."
"It's stable and reliable."
"Teradata effectively uses parallelism to the granular level, performing better than other databases."
"The most valuable feature is the ease of uploading data from multiple sources."
"The most valuable feature of Teradata is the quick processing of large data."
"It's a pre-configured appliance that requires very little in terms of setting-up."
"It has massive parallel processing ability to do large amounts of concurrent querying."
"The most valuable features of Teradata are that it is a massively parallel platform and I can receive a lot of data and get the queries out correctly, especially if it's been appropriately designed. The native features make it very suitable for multiple large data tasks in a structured data environment. Additionally, the automation is very good."
 

Cons

"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
"Having the ability to migrate servers using a single command would be extremely beneficial."
"We don't get good discounts in Pakistan."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
"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."
"It needs a teaching web site with more training on third-party tools used for BI."
"​Their level of technical support is adequate. It could be better.​"
"Sometimes the large injestion takes days to load data, and some of our stored procedures take two to three days."
"The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud."
"When backups are performed, it locks the database, preventing user access, which is a concern."
"We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata."
"Since I was working on the very basic, legacy systems, the memory thing was always a challenge. If Teradata is moving to the cloud, the space constraint or the memory issue that my company generally faces will eventually resolve, in time. What I'd like to see in the next release of Teradata is that it becomes full-fledged on the cloud, apart from better connectivity to various systems. For example, if I have to read or include a Python script, if I write some basic codes, I should be able to read even unstructured data. I know that it's not supported even in Snowflake, but at least semi-structured data support, if that can be a little more enhanced, that would be good."
"The scalability could be better. The on-premises solution is always more complicated to scale."
 

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."
"I would advise users to try the free 128GB version."
"The product's licensing is not expensive. It is comparable."
"SingleStore is a bit expensive."
"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."
"​I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services​."
"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."
"Teradata is a very expensive solution."
"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."
"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."
"​When looking into implementing this product, pricing is the main issue followed by technical expertise​."
"Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms."
report
Use our free recommendation engine to learn which Database as a Service (DBaaS) solutions are best for your needs.
865,164 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
Financial Services Firm
32%
Computer Software Company
12%
Comms Service Provider
6%
University
5%
Financial Services Firm
26%
Computer Software Company
10%
Manufacturing Company
7%
Healthcare Company
6%
 

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

400+ customers including: 6sense, Adobe, Akamai, Ant Money, Arcules, CARFAX, Cigna, Cisco, Comcast, DELL, DBS Bank, Dentsu, DirectlyApply, EY, Factors.AI, Fathom Analytics, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, impact.com, Kroger, LG, LiveRamp, Lumana, Nvidia, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, SegMetrics, Siemens, SiteImprove, SiriusXM, SK Telecom, SKAI, SONY, STC, SunRun, TATA, Thorn, ZoomInfo.
Netflix
Find out what your peers are saying about Amazon Web Services (AWS), Microsoft, MongoDB and others in Database as a Service (DBaaS). Updated: August 2025.
865,164 professionals have used our research since 2012.