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InfluxDB vs SingleStore 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:
 

Customer Service

No sentiment score available
InfluxDB's community forums are helpful; users prefer them over slow support, though premium support offers dedicated assistance.
No sentiment score available
 

Room For Improvement

Sentiment score
4.5
InfluxDB's UI needs enhancements in integration, error logging, query language, high availability, backups, configuration, and authentication.
No sentiment score available
 

Scalability Issues

Sentiment score
6.8
InfluxDB is scalable and user-friendly, crucial for monitoring, but enterprise scaling costs and backup stability raise concerns.
No sentiment score available
 

Setup Cost

No sentiment score available
InfluxDB users face higher monthly costs due to price increases, impacting enterprise evaluations for scalable solutions.
No sentiment score available
 

Stability Issues

Sentiment score
7.0
InfluxDB is highly recommended for its stability and reliability, though some users report rare incidents with data loss.
No sentiment score available
 

Valuable Features

Sentiment score
8.5
InfluxDB provides efficient time-series data handling, strong aggregation, seamless integrations, and cloud features with a user-friendly interface.
No sentiment score available
 

Categories and Ranking

InfluxDB
Average Rating
7.8
Reviews Sentiment
6.9
Number of Reviews
9
Ranking in other categories
Non-Relational Databases (5th), Open Source Databases (11th), Network Monitoring Software (61st), IT Infrastructure Monitoring (51st), NoSQL Databases (6th)
SingleStore
Average Rating
8.8
Reviews Sentiment
7.1
Number of Reviews
7
Ranking in other categories
Database as a Service (DBaaS) (7th), Vector Databases (12th)
 

Featured Reviews

PedroCampos - PeerSpot reviewer
A powerful, lightweight time series database with a simple query language and easy setup
Influx has TICK Stack, which contains multiple services and multiple products that work together. InfluxDB is just a time series database, and it works really well. I haven't yet had the time to look into the new stack based on Influx 2.0, but currently, as a time series database, InfluxDB is working the way it is supposed to work. In terms of features that I would like to see or have, in the community version, some features are not available. I would like to have clustering and authentication in the community version. I would also like to have high availability features, such as replication, active-active, etc. If they can put an extra plugin or service on top of it, it would be something interesting. I am not sure if they have high availability to make it data center-aware for clustering. For example, I am not sure whether you can have it at different locations with big clusters that are location-aware. Even in their documentation or presentation, they talk too little about high availability and extended clusters with different locations. They might already have it in the newer versions. We have Influx 1.8 in our production in the stage and internal workloads environments. The other products in their ecosystem, such as Chronograf, can be improved. Chronograf is a dashboarding or visualization layer product, and that, for sure, can be improved.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Educational Organization
8%
Financial Services Firm
30%
Computer Software Company
14%
Manufacturing Company
6%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about InfluxDB?
InfluxDB is a database where you can insert data. However, it would be best if you had different components for alerting, data sending, and visualization. You need to install tools to collect data ...
What needs improvement with InfluxDB?
InfluxDB is generally stable, but we've encountered issues with the configuration file in our ticket stack. For instance, a mistake in one of the metrics out of a hundred KPIs can disrupt data coll...
What is your primary use case for InfluxDB?
I use the solution to store and manage data from various sensors in a production environment. I have developed a system where data from these sensors is communicated through an OPC UA receiver and ...
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...
 

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Sample Customers

ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo
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