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InfluxData VS Query Streams

Compare InfluxData VS Query Streams and see what are their differences

InfluxData

Scalable datastore for metrics, events, and real-time analytics.

InfluxData Landing page
Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
Query Streams

Real-time database to Google Sheets & Excel streaming — securely share live queries without exposing SQL code or credentials.

Query Streams Dashboard
Rating
0 reviews
Pricing
Freemium
Alternatives Is it good?
Kanera
Plan work on flexible boards, connect projects through Global Work and Portfolio, and keep reporting, notes, automation, API, and AI access together. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, InfluxData seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
2 vs 0
Databases popularity
92% vs 8%
alternatives listed
175 vs 3

Base details

Website, pricing, platforms and company facts side by side.

InfluxData
Query Streams
Website influxdata.com querystreams.com
Pricing
Open source Official pricing
Freemium Official pricing
Platforms —
Windows
Company — Startup from the United States · 1 - 9 employees · 2025
Listed in
Big Data Data Dashboard Time Series Database Big Data Tools +1
Databases Analytics Excel Google Sheets Productivity SQL +3

About InfluxData and Query Streams

In their own words, as submitted to SaaSHub.

InfluxData
Query Streams

No description of InfluxData yet.

Query Streams is the easiest and most secure way to bring live database data directly into Google Sheets and Microsoft Excel without VPNs, manual exports, or exposing sensitive credentials. Built for analysts, business users, and IT teams, Query Streams connects securely to your databases and...

Read more about Query Streams

Features and specs

What each product offers, as listed by its team.

InfluxData 7 features
Query Streams 10 features
  • High Performance
    InfluxData's InfluxDB is designed to handle high write and query loads, making it suitable for time-series data and real-time applications.
  • Open-Source
    The core InfluxDB product is open-source, allowing for transparency, community contributions, and the option to self-host the database.
  • Scalability
    InfluxDB offers horizontal scalability, enabling users to handle increasing volumes of data efficiently through clustering.
  • Built-In Data Processing
    InfluxData offers integrated tools for data processing and scripting, such as Kapacitor for real-time processing and Flux for advanced querying.
  • Rich Ecosystem
    InfluxData provides a comprehensive ecosystem including Telegraf for data collection, Chronograf for visualization, and Kapacitor for alerting and processing.
  • Time-Series Focused
    InfluxDB is optimized for time-series data, offering specialized features like time-based retention policies, continuous queries, and downsampling.
  • Easy Integration
    InfluxDB integrates well with many third-party data visualization and monitoring tools such as Grafana, making it easier to build end-to-end solutions.

Possible disadvantages

  • Complexity
    The comprehensive features and tools in the InfluxData ecosystem can result in a steeper learning curve, especially for novices.
  • Cost
    While the open-source version is free, the enterprise and cloud-hosted versions come with a cost, which can be significant for small to mid-sized businesses.
  • Resource Intensive
    InfluxDB can be resource-intensive, especially under high loads, requiring significant hardware resources for optimal performance.
  • Limited SQL Support
    InfluxDB doesn’t fully support SQL, which can be a hurdle for users accustomed to traditional relational databases. It uses its own query languages like InfluxQL and Flux.
  • Fragmented Documentation
    Some users find the documentation fragmented or lacking in depth, which can make troubleshooting and advanced usage more challenging.
  • Data Backup and Restore
    Managing backups and restores in InfluxDB can be intricate and may require additional effort and tools to ensure data integrity and availability.
  • Real-time Data Streaming
    Stream live SQL query results directly into Google Sheets and Microsoft Excel without manual exports.
  • Secure Query Sharing
    Share query outputs safely with team members without exposing SQL code, credentials, or database access.
  • Multi-Database Support
    Connect to MySQL, PostgreSQL, SQL Server, MariaDB, SQLite, Microsoft Access, and more.
  • Parameterized Queries
    Build spreadsheets with dropdowns, filters, and dynamic inputs to create interactive data tools.
  • No Network Changes Required
    Works without VPNs, tunnels, or firewall modifications, making setup fast and secure.
  • Automatic Data Refresh
    Keep dashboards, reports, and tables up to date in real time without scheduling syncs.
  • Spreadsheet Integration
    Seamlessly integrates with both Google Sheets and Microsoft Excel for live data connectivity.
  • Lightweight Agent
    Deploy a small Windows agent to securely bridge your databases and spreadsheets without exposing your network.
  • Access Control
    Control exactly which queries and data are shared, ensuring compliance and security.
  • Zero-Code Setup
    Designed for analysts and business users; no engineering or complex configuration required.

Analysis

An editorial look at what each product does well and who it suits.

InfluxData
Query Streams

Overall verdict

  • Yes, InfluxData is considered good for dealing with time-series data.

Why this product is good

  • Specialized Time-Series Database: InfluxData offers InfluxDB, which is specifically tailored for handling time-series data, making it highly efficient for this purpose.
  • Scalability: InfluxDB is known for its high performance and scalability, which is advantageous for applications requiring the processing of large volumes of data quickly.
  • Rich Ecosystem: It provides a comprehensive suite of tools for data collection, analysis, and visualization, which includes the TICK stack (Telegraf, InfluxDB, Chronograf, and Kapacitor).
  • Ease of Use: The product offerings are designed to be user-friendly, reducing the complexity of setting up and managing time-series databases.
  • Strong Community Support: InfluxData has a robust community and good documentation, which is beneficial for troubleshooting and getting the most out of its tools.

Recommended for

  • IoT Applications: For organizations dealing with IoT devices generating large amounts of time-stamped data.
  • DevOps Monitoring: Useful for monitoring infrastructure and applications due to its ability to collect and store real-time metrics.
  • Finance: Can be employed to track stock prices, or other financial metrics over time.
  • Research: For scientific data that requires precise timestamping and quick retrieval.
  • Energy Management: Ideal for tracking and analyzing power consumption over time.

Overall verdict

  • Query Streams appears to be a niche data/analytics streaming tool, but without verified, up-to-date information on its current features, pricing, and reliability, a definitive quality judgment can't be confidently made. Prospective users should evaluate it directly through a trial or demo and check recent user reviews before committing.

Why this product is good

  • May offer real-time data streaming or query monitoring capabilities useful for developers and analysts
  • Could provide a simpler alternative to more complex enterprise data pipeline tools
  • Potentially cost-effective for smaller teams needing query analytics
  • Website and branding suggest a focused, purpose-built tool rather than a bloated all-in-one platform

Recommended for

  • Developers needing lightweight query monitoring
  • Small to medium teams exploring real-time data streaming solutions
  • Users seeking a specialized tool rather than a broad analytics suite
  • Technical evaluators willing to test the product firsthand before full adoption

Videos

Walkthroughs and reviews on video.

InfluxData 1 video + Add
Query Streams 0 videos + Add

Barbara Nelson [InfluxData] | Best Practices for Data Ingestion into InfluxDB

No Query Streams videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
InfluxData
Query Streams
92% 92%
Databases
8% 8%
0% 0%
SQL
100% 100%
100% 100%
Time Series Database
0% 0%
0% 0%
Productivity
100% 100%

Questions & Answers

As answered by people managing InfluxData and Query Streams.

What makes your product unique?

Query Streams's answer:

Query Streams makes it possible to stream live database data directly into Google Sheets and Microsoft Excel securely, without exposing SQL code, credentials, or modifying network firewalls. Unlike typical sync tools, it delivers true real-time streaming, enabling teams to share query outputs safely without granting database access. It combines the simplicity of spreadsheets with the power of live data, bridging the gap between IT and business users.

Why should a person choose your product over its competitors?

Query Streams's answer:

Unlike competitors that rely on scheduled syncs or require complex configuration, Query Streams provides real-time data streaming, granular security, and zero network changes. Users can collaborate on live data without giving out SQL code or credentials, making it faster to set up, safer to share, and easier to scale. It supports a wide range of databases, offers parameterized spreadsheets, and keeps data refreshes truly live, not delayed by sync intervals.

How would you describe the primary audience of your product?

Query Streams's answer:

Our primary audience includes data analysts, finance teams, business operations professionals, and IT teams who need reliable, real-time access to data inside spreadsheets. Query Streams is designed for organizations that rely on Google Sheets or Excel for analysis and reporting but want to eliminate manual exports, delays, and security risks.

What's the story behind your product?

Query Streams's answer:

Query Streams was created to solve a common frustration: teams needed real-time data in spreadsheets, but existing solutions required complex integrations, risky credential sharing, or delayed syncs. We built Query Streams to make live database-to-spreadsheet connectivity secure, simple, and fast, so that analysts and decision-makers can work with up-to-date data without relying on engineering resources or manual processes.

Which are the primary technologies used for building your product?

Query Streams's answer:

Query Streams is built using modern, secure, and scalable web technologies designed for real-time data processing and seamless spreadsheet integration. The platform combines a reliable backend, secure communication protocols, and native integrations to deliver fast and dependable performance for teams of all sizes.

Who are some of the biggest customers of your product?

Query Streams's answer:

Finance teams and data analysts in mid-sized enterprises

SaaS companies integrating live reporting into spreadsheets

Business operations teams that require secure, real-time data sharing

IT departments enabling data access without exposing infrastructure

User comments

Share your experience with using InfluxData and Query Streams. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

InfluxData no reviews yet
Query Streams no reviews yet

We have no reviews of Query Streams yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

InfluxData 2 mentions
Query Streams 0 mentions
  • Can i log data into excel/csv using aws?
    I would highly recommend using a proper Time Series Database like QuestDB or InfluxDB to do this instead. You can always export data from wither of those two into Excel if your boss wants it in excel, but it's much easier to do data... Source: over 4 years ago
  • How to stream IoT data into Excel
    I would suggest using something better suited to IoT data than ... a spreadsheet. I'd recommend looking at one of the Time Series Databases for this. 1) QuestDB or 2) InfluxDB as these are much better suited to streaming data. Source: almost 5 years ago

Tracking Query Streams since Sep 2025.

Alternatives to InfluxData and Query Streams

When comparing InfluxData and Query Streams, you can also consider the following products.

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