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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
6
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

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.
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

"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 product can automatically reinstall and reconfigure in case of a shutdown."
"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."
"The paramount advantage is the exceptional speed."
"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."
"The most valuable feature is the ease of uploading data from multiple sources."
"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."
"The product's scalability is great. Scalability-wise, I rate the solution a ten out of ten."
"The solution's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good."
"It's the same as your visual database. I like the fast load feature for data, the BTQ solution is very good, and storage procedures are very fast."
"It's a pre-configured appliance that requires very little in terms of setting-up."
"It has a solid set of tools and consulting services."
"The solution scales well on the cloud."
 

Cons

"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."
"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."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
"We don't get good discounts in Pakistan."
"It needs a teaching web site with more training on third-party tools used for BI."
"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."
"Limited interest and success in some areas make us hesitate about upgrading."
"The solution needs improvement in its stability, support and pricing."
"The initial setup is complex because there are a lot of factors that come into play, including the amount of software and applications that require access."
"The only issue our company has with Teradata IntelliFlex is that it is not cost-effective because of the way the product has been designed."
"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."
"​The initial setup was complex as we had to rewrite a lot of the code.​"
 

Pricing and Cost Advice

"They have two main options: cloud installation and bare-metal installation, each with different pricing models."
"I would advise users to try the free 128GB version."
"The product's licensing is not expensive. It is comparable."
"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."
"SingleStore is a bit expensive."
"Teradata is a very expensive solution."
"​When looking into implementing this product, pricing is the main issue followed by technical expertise​."
"It's a very expensive product."
"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."
"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."
"It comes at a notably high cost for what it offers."
"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."
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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
32%
Computer Software Company
12%
Manufacturing Company
5%
University
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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