SingleStore vs kdb+ comparison

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kdb+

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Executive Summary

We performed a comparison between SingleStore and kdb+ based on real PeerSpot user reviews.

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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

kdb+

Average Rating

9.0

Number of Reviews

Ranking in other categories

Relational Databases Tools (37th)

SingleStore

Average Rating

8.6

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (11th), Vector Databases (16th)

Mindshare comparison

While both are Databases solutions, they serve different purposes. kdb+ is designed for Relational Databases Tools and holds a mindshare of 0.9%, up 0.4% compared to last year.
SingleStore, on the other hand, focuses on Database as a Service (DBaaS), holds 3.5% mindshare, up 1.8% since last year.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
kdb+	0.9%
SQL Server	10.6%
Oracle Database	10.5%
Other	78.0%

Relational Databases Tools

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
SingleStore	3.5%
MongoDB Atlas	11.8%
Amazon RDS	11.7%
Other	73.0%

Database as a Service (DBaaS)

Featured Reviews

Nitin Garg

Vice President - Financial Services at Evalueserve

An easy-to-deploy solution that can be used for data ingestion and usage

I work for a fintech company where we create several strategies generally built on finance data, which are like one-time series data. We deal with huge bulk data on a daily basis, and we use kdb+ for data ingestion and usage The most valuable feature of kdb+ is the speed at which it returns the…

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Kelvin Ben

Senior Software Engineer at Honeywell

Real-time analytics has transformed daily decisions and delivers fast dashboards from streaming data

The best features SingleStore offers include fast data recovery and data compression by 80 percent. Having the information in sheets helps me to process the information quickly. Simplicity in T-SQL is another aspect I appreciate. Data recovery and sheet-based processing help my team on a day-to-day basis by enabling us to handle information efficiently. I would like to add that the data compression by 80 percent helps us in an excellent way since we are very fast in obtaining the data for our dashboards and the compression of the information is great. SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone. It has been very helpful because our internal clients are happy to have the data and make data-driven decisions easily. Making decisions based on data within a two-hour delay to the transactional database is excellent since we went from twenty-four hours to two hours. I think the best contribution is decision-making with data that is close to reality. Reducing that delay from twenty-four hours to two hours has significantly affected my team and business outcomes by increasing productivity. We have been able to serve all our customers, and they are very happy. We can deliver to them on time.

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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 returns data quickly, and data retrieval is fast in kdb+."

"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."

"SingleStore has impacted my organization positively because the output and performance of the app have been improved."

"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."

"MemSQL is a very powerful database."

"SingleStore's speed and scalability have made a significant difference for our team, as we scaled without major performance issues and reports, dashboards, and data segments that previously took much longer to generate are now produced in real time, which overall improves the user experience and helps teams access insights faster for operational and decision-making."

"SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone."

"The product can automatically reinstall and reconfigure in case of a shutdown."

"The paramount advantage is the exceptional speed."

More SingleStore pros

Cons

"The solution should have a more user-friendly user interface."

"SingleStore is very well at the current stage, but I see room for improvement in ease of administration, monitoring, and reducing troubleshooting time."

"We don't get good discounts in Pakistan."

"Having the ability to migrate servers using a single command would be extremely beneficial."

"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."

"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."

"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."

"SingleStore can be improved in the aspect that the Azure pipelines do not have many parameterization features compared to others, for example, AWS."

"I have noticed that SingleStore can be improved because the integration of SingleStore with DataDog is not good."

More SingleStore cons

Pricing and Cost Advice

Information not available

"I would advise users to try the free 128GB version."

"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."

"SingleStore is a bit expensive."

"They have two main options: cloud installation and bare-metal installation, each with different pricing models."

"The product's licensing is not expensive. It is comparable."

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Top Industries

By visitors reading reviews

Financial Services Firm

43%

Computer Software Company

Energy/Utilities Company

Manufacturing Company

Financial Services Firm

29%

Computer Software Company

Comms Service Provider

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	5
Large Enterprise	5

Questions from the Community

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What is your experience regarding pricing and costs for SingleStore DB?

I cannot share much about how SingleStore is deployed due to company policy.

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What needs improvement with SingleStore DB?

SingleStore is very well at the current stage, but I see room for improvement in ease of administration, monitoring, and reducing troubleshooting time. Better documentation for advanced use cases, ...

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What is your primary use case for SingleStore DB?

SingleStore is our main platform for handling high-performance real-time analytics of large data volumes, providing transactional and operational data on a single platform. One specific example of ...

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Comparisons

SQL Server vs kdb+

Compared 19% of the time

Oracle Database In-Memory vs kdb+

Compared 17% of the time

MariaDB vs kdb+

Compared 14% of the time

Oracle Database vs kdb+

Compared 12% of the time

Kinetica vs kdb+

Compared 8% of the time

More kdb+ Competitors

MongoDB Atlas vs SingleStore

Compared 9% of the time

Redis vs SingleStore

Compared 6% of the time

ClickHouse vs SingleStore

Compared 5% of the time

Amazon RDS vs SingleStore

Compared 5% of the time

CockroachDB vs SingleStore

Compared 5% of the time

More SingleStore Competitors

Product Reports

Relational Databases Tools

Download kdb+ product report

Download SingleStore product report

Overview

kdb+ is a high-performance time-series database widely recognized for its speed and efficiency in handling large datasets, particularly in financial markets.

kdb+ combines a powerful database with a vector programming language, Q, to achieve superior performance in time-series data storage and analysis. This synergy allows quick retrieval and manipulation of large volumes of data, making it essential for analytics and business intelligence in sectors such as finance and telecommunications. Known for its scalability, kdb+ is ideal for enterprises requiring rapid data processing and complex calculations.

What are the key features?

High-Speed Data Processing: Designed to handle extremely large datasets quickly and efficiently.
Time-Series Analysis: Built specifically for analyzing time-series data, making it perfect for time-sensitive industries.
Q Programming Language: Offers a concise and flexible programming environment to simplify data queries.
Scalability: Easily scales to meet the growing data needs of enterprises.

What benefits should be evaluated in kdb+ reviews?

Performance: Look for reviews highlighting its ability to process massive data volumes swiftly.
Scalability: Check for comments on how well it scales with increased data loads.
Efficiency: Observe user feedback on the ease of conducting complex calculations and queries.
Industry Fit: Pay attention to suitability for specific sectors such as finance or telecommunications.

In finance, kdb+ is implemented to handle real-time trading and risk management analytics, producing fast and accurate insights. Telecommunications use it for network monitoring and data utilization analysis. Its deployment in these industries reflects its adaptability and performance in data-heavy environments.

Kx Systems

SingleStore delivers the performance you need for enterprise AI, providing the most performant data platform for apps and analytics at scale. SingleStore enables organizations to scale from one to one million customers in one unified platform. SingleStore offers transparent pricing as shown here https://www.singlestore.com/pricing/

SingleStore caters to over 400 customers globally, including major banks and tech companies in 50+ countries and 40+ verticals. It offers seamless scaling for both transactional and analytical workloads, simplifying data management with its MySQL compatibility and real-time processing capabilities. SingleStore's distributed architecture ensures speed and reliability, efficiently handling large data volumes.

What are the key features of SingleStore?

MySQL Compatibility: Eases the learning curve for users.
Built-in Pipelines: Connects to S3, Kafka, and more.
High Concurrency: Processes billions of records swiftly.
Replication & Failover: Enhances speed and reliability.
In-memory Storage: Ensures data safety and quick access.

What benefits can users find in SingleStore reviews?

Automatic Reconfiguration: Simplifies management tasks.
Impressive SQL Performance: Supports complex queries efficiently.
Scalability: Handles large datasets with a multi-node setup.

Top banks and fintech companies leverage SingleStore for efficient management of financial data, while media and telecom industries use it for scalable metadata management and improved data processing. Retail and eCommerce sectors benefit from enhanced transactional capabilities, reducing the need for separate databases and optimizing reporting processes. SingleStore's capacity to unite diverse workloads makes it a strategic choice across many sectors.

Sample Customers

UniCredit, AIRBUS

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.

Relational Databases Tools