InfluxDB vs MongoDB vs SingleStore comparison

Read 81 MongoDB reviews

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1,686 Comparison Views

92% willing to recommend

Read 6 SingleStore reviews

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225 Comparison Views

100% willing to recommend

InfluxDB

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Executive Summary

We performed a comparison between InfluxDB, MongoDB, and SingleStore based on real PeerSpot user reviews.

Find out what your peers are saying about Firebird, Oracle, PostgreSQL and others in Open Source Databases.

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Open Source Databases

June 2025

Helped 862,514 peers since 2012

Review summaries and opinions

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

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Open Source Databases

NoSQL Databases

Database as a Service (DBaaS)

Featured Reviews

DeepakR

Site Reliability Engineer(Observability) at Sapiens

An open-source database that can be used to insert data

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 collection for all KPIs. This happens because the agent stops working if there's an issue with any configuration part. To address this, it is essential to ensure that all configurations are part of the agent's EXE file when provided. This makes it easier to package the agent for server installation and ensures all KPIs are available from the server. Additionally, the agent cannot encrypt and decrypt passwords for authentication, which can be problematic when monitoring URLs or requiring authentication tokens. This requires additional scripting and can prolong service restart times.

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Uzair Faruqi

Head Of Analytics at a computer software company with 501-1,000 employees

Transforms data flow with adaptable schema and smooth public cloud deployment

One of our business units uses MongoDB, and we developed an ETL pipeline that extracts data from MongoDB and transfers it into our data warehouse MongoDB is a NoSQL database that is similar to a document database. It offers flexibility in schema adaptation, allowing us to change the schema and…

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Yasin Sarı

Senior Data Analyst at a comms service provider with 1,001-5,000 employees

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.

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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

"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 from servers. It must be installed on Windows or Linux servers. During installation, ensure that the configuration file is correct to prevent issues. Once data is collected, it can be sent to InfluxDB. For visualization, you can use open-source tools like Grafana."

"The most valuable features are aggregating the data and integration with Graphana for monitoring."

"The user interface is well-designed and easy to use. It provides a clear overview of the data, making it simple to understand the information at hand."

"InfluxDB's best feature is that it's a cloud offering. Other good features include its time-series DB, fast time-bulk queries, and window operations."

"While I would rate InfluxDB a ten on a scale of one to ten, users should be thoughtful about matching the engine to their specific needs."

"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."

"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."

More InfluxDB pros

"I found that MongoDB is most valuable for storing school-related queries. It's also user-friendly, and I found no difficulty accessing it. Setting it up is easy too."

"MongoDB has many good replication features and good performance."

"It is very fast - faster than an SQL or MySQL Server."

"MongoDB has a simple data-loading interface."

"I like that MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."

"MongoDB is highly stable, and I would rate its stability at nine out of ten."

"Sharding is an excellent feature of MongoDB."

"The most valuable features of MongoDB include the flexible schema for storing data, its replication capabilities with high availability through a replica set setup, and horizontal scalability using sharding."

More MongoDB pros

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

"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."

"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."

"The paramount advantage is the exceptional speed."

"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."

Cons

"The solution's UI can be more user-friendly."

"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."

"InfluxDB cannot be used for high-cardinality data. It's also difficult and time-consuming to write queries, and there are some issues with bulk API."

"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."

"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 collection for all KPIs. This happens because the agent stops working if there's an issue with any configuration part. To address this, it is essential to ensure that all configurations are part of the agent's EXE file when provided. This makes it easier to package the agent for server installation and ensures all KPIs are available from the server. Additionally, the agent cannot encrypt and decrypt passwords for authentication, which can be problematic when monitoring URLs or requiring authentication tokens. This requires additional scripting and can prolong service restart times."

"The solution doesn't have much of a user interface."

"I've tried both on-premises and cloud-based deployments, and each has its limitations."

"InfluxDB can improve by including new metrics on other technologies. They had some changes recently to pool data from endpoints but the functionality is not good enough in the industry."

More InfluxDB cons

"There is a need for improvement in MongoDB's customer support."

"MongoDB should be more stable, and support should be more efficient."

"The solution could have more integration."

"MongoDB could be more secure."

"It has certain limitations when it comes to handling hierarchical data, enforcing relationships, and performing complex joins, which should be taken into account when designing databases for applications with intricate data requirements."

"The transaction could use improvement. From MySQL, for example, you cannot create a transaction if you are reading and writing a document at the same time."

"MongoDB would be improved with more integration, particularly for cloud environments like Google BigQuery."

"MongoDB should improve its data loading part."

More MongoDB cons

"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."

"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."

"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."

Pricing and Cost Advice

"InfluxDB is open-source, but there are additional costs for scaling."

"We are using the open-source version of InfluxDB."

"InfluxDB recently increased its price. It is very expensive now."

"The tool is an open-source product."

"MongoDB's pricing is reasonable."

"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."

"Our customers pay for yearly licenses for MongoDB."

"There is an enterprise license and it could be cheaper. We are using the free open source version."

"This is an open-source solution."

"MongoDB is a bit expensive compared to its competitors."

"There are different licenses available to be purchased, such as individual, premium, or enterprise."

"There is an annual subscription for the use of this solution."

More MongoDB pricing and cost advice

"SingleStore is a bit expensive."

"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."

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

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862,514 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

12%

Manufacturing Company

Comms Service Provider

Financial Services Firm

16%

Computer Software Company

13%

University

Manufacturing Company

Financial Services Firm

32%

Computer Software Company

13%

Comms Service Provider

University

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 alert...

What needs improvement with InfluxDB?

It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster. Replica...

What is your primary use case for InfluxDB?

InfluxDB is the main component in our large enterprise-scale streaming data application for maritime vessels. We coll...

What do you like most about MongoDB?

MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.

What is your experience regarding pricing and costs for MongoDB?

We pay approximately 2,000 euros per month for MongoDB.

What needs improvement with MongoDB?

I'm not sure about the documentation or the knowledge bases available for MongoDB because I don't interact with it at...

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 ...

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 ...

More InfluxDB Competitors

Comparisons

ClickHouse vs InfluxDB

Compared 25% of the time

PostgreSQL vs InfluxDB

Compared 6% of the time

ScyllaDB vs InfluxDB

Compared 6% of the time

SQLite vs InfluxDB

Compared 5% of the time

Cassandra vs InfluxDB

Compared 5% of the time

Couchbase vs MongoDB

Compared 9% of the time

Cassandra vs MongoDB

Compared 8% of the time

Milvus vs MongoDB

Compared 8% of the time

Qdrant vs MongoDB

Compared 5% of the time

LanceDB vs MongoDB

Compared 2% of the time

More MongoDB Competitors

ClickHouse vs SingleStore

Compared 14% of the time

SQL Server vs SingleStore

Compared 9% of the time

CockroachDB vs SingleStore

Compared 7% of the time

Supabase Vector vs SingleStore

Compared 7% of the time

Redis vs SingleStore

Compared 4% of the time

More SingleStore Competitors

Product Reports

Download InfluxDB product report

InfluxDB

July 2025

Download MongoDB product report

July 2025

Download SingleStore product report

June 2025

Overview

InfluxDB is open-source software that helps developers and enterprises alike to collect, store, process, and visualize time series data and to build next-generation applications. InfluxDB provides monitoring and insight on IoT, application, system, container, and infrastructure quickly and easily without complexities or compromises in scale, speed, or productivity.

InfluxDB has become a popular insight system for unified metrics and events enabling the most demanding SLAs. InfluxDB is used in just about every type of industry across a wide range of use cases, including network monitoring, IoT monitoring, industrial IoT, and infrastructure and application monitoring.

InfluxDB offers its users:

Infrastructure and application monitoring: Collect, process, and analyze real-time data from edge devices to help optimize distributed infrastructure.

IoT monitoring and analytics: InfluxDB is designed to store large volumes of time series data and quickly perform real-time analysis on that data. Gain insights from all the sensor data and use the collected data to create and perform automated tasks.

Network monitoring: Manage responsive and high-performing networks with widely distributed resources.

InfluxDB Benefits

There are several benefits to using InfluxDB . Some of the biggest advantages the solution offers include:

APIs and ready toolset: InfluxDB can be accessed via a set of powerful tools enabling users to get started quickly, with less programming required. This includes a REST API, extensive client libraries, a wide variety of open-source integrations, and Flux - a functional data scripting language for querying, analysis, and events. The InfluxDB API can be used to write data from edge devices to the InfluxDB instance

Time series engine: Get any data - events, logs, traces - from any edge device - systems, sensors, queues, databases, and networks. This data is stored in a powerful and high-performing engine capable of ingesting millions of data points per second.

Community: InfluxDB has a large community of cloud and open-source developers ready to assist users.

Ready-made templates: Use InfluxDB Templates, a set of tools with a packager and other ready monitoring solutions. These tools allow users to share their monitoring expertise with coworkers and other community members around the world. The Templates gallery offers available templates for some of the most popular tools and applications.

Enhanced UI: InfluxDB’s UI includes an explorer, dashboarding tools, and a script editor. Use it to easily browse the collected metric and event data and apply common transformations. The dashboarding tool comes with a variety of visualization options that help users view insights from the data. The script editor assists users to quickly master Flux with easily accessible examples, auto-completion, and real-time syntax checking.

Reviews from Real Users

InfluxDB stands out among its competitors for a number of reasons. Two major ones are its flexible integration options and its data aggregation feature.

Shalauddin Ahamad S., a software engineer at a tech services company, notes, “The most valuable features are aggregating the data and the integration with Grafana for monitoring.”

InfluxData

MongoDB is a flexible and scalable NoSQL database solution that efficiently handles both structured and unstructured data. It is known for its ease of use, JSON capabilities, and efficient data handling, making it ideal for developer-friendly environments.

MongoDB stands out with features like sharding, geospatial indexing, and its open-source nature. Users find it fast and appreciate its seamless integration into different applications. Despite being powerful, it remains straightforward to set up and use, bolstered by a clustering and aggregation framework that enhances its functionality. While generally appreciated for its cost-effectiveness and broad application compatibility, there is room for improvement in security, enterprise integration, and the creation of more robust training and documentation resources. Enhancing performance and adding support for traditional relational database concepts could also prove beneficial.

What are MongoDB's most important features?

Scalability: Efficiently manages growing data volumes.
Flexibility: Supports structured and unstructured data with ease.
Sharding: Distributes data across multiple servers.
Geospatial Indexing: Enables location-based data handling.
Open-source: Wide community support and customization.

What benefits or ROI should users look for?

Cost-effectiveness: Reduces overall database management expenses.
Ease of Use: Simplifies database setup and maintenance.
Developer-friendly: Accelerates application development with supportive tools.
Scalable Solutions: Adapts to evolving business requirements.

MongoDB finds widespread application across industries like healthcare, logistics, and telecommunications. It efficiently powers IoT platforms, data analytics, and document management systems. Its schema flexibility and JSON storage capabilities make it ideal for real-time processing and multi-server databases, essential for handling large-scale data volumes in modern applications.

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

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

Facebook, MetLife, City of Chicago, Expedia, eBay, Google

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.