Best Time Series Databases for Small Business

How Many Time Series Databases Products Does G2 Track?

Total Products under this Category: 55

Category Stats (Nov 2026)

  • Average Rating: 4.47/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: InfluxDB (+0.09%) - Among all products in this category, InfluxDB recorded the largest rating increase compared to last month

Last updated: November 10, 2026

How Does G2 Rank Time Series Databases Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 1,100+ Authentic Reviews
  • 55+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Time Series Databases

G2 Grid® for Time Series Databases plotting products by satisfaction and market presence

Highlighted products: Tiger Data, InfluxDB, TDengine, CrateDB, KX, QuestDB, and Warp 10.

Underlying data: [Grid® JSON](https://www.g2.com/categories/time-series-databases/grids.json?focus%5B%5D=tiger-data&focus%5B%5D=influxdata-influxdb&focus%5B%5D=tdengine&focus%5B%5D=cratedb&focus%5B%5D=kx-kx&focus%5B%5D=questdb&focus%5B%5D=warp-10&segment=small-business)

Tiger Data

Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of history, all queryable in standard SQL. For IoT, Web3, and AI. Why teams choose Tiger Data: - Trusted by thousands of developers. 3M+ active databases, 2k+ customers - Up to 95% Compression. Keep years of history online at a fraction of the cost. - Production-ready without the operational pain. Multi-AZ HA, PITR, cross-region backups, SOC 2/HIPAA/GDPR, deep observability. - Scale effortlessly. Disaggregated compute & storage. Never pay for idle capacity. - Unified data architecture. Connect any data source and automatically sync it between your operational database, and data lake. - Hyperscaler procurement. Available on AWS Marketplace and Azure Marketplace. Key capabilities: - Automatic partitioning Ingest millions of data points per second without manual table management or sharding. - Incremental materialized views Precompute and cache rollups for instant dashboards and APIs. - Hybrid row/column storage Fast writes, compressed reads, optimized for real-time and historical queries. - Compression (up to 95%) Columnar encodings apply filters & aggregates directly on compressed data for faster queries and big savings. - Tiered Storage Automatically move older or less-frequently accessed data to low-cost object storage while keeping it fully queryable through the same SQL interface. - Fully managed Postgres Cloud Scale compute and storage independently, tier S3 storage to manage costs, deploy globally, and skip database ops. Industry verticals: Developers and platform teams in Industrial IoT, manufacturing, Crypto, SaaS/ML and DevOps tooling rely on Tiger to combine operational and historical data for real-time dashboards and mission-critical insights, queryable in standard-SQL. How to get started: Try Tiger Cloud for 1-month free with no credit card needed, or use us indefinitely as part of our free plan. Get started now - https://console.cloud.timescale.com/signup?utm_source=g2&utm_medium=referral&utm_campaign=free-trial-g2

Average Rating: 4.6/5.0

Total Reviews: 32

How Do G2 Users Rate Tiger Data?

  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 9.1/10)
  • Ease of Admin: 8.7/10 (Category avg: 8.4/10)
  • Quality of Support: 9.5/10 (Category avg: 8.8/10)

Who Is the Company Behind Tiger Data?

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 78% Small, 19% Medium

What Do G2 Reviewers Say About Tiger Data?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Tiger Data, finding it accessible and intuitive for data analysis and visualization.
  • Users praise the easy setup of Tiger Data, facilitating quick integration and efficient management of databases.
  • Users find the setup ease of Tiger Data exceptional, enabling quick and efficient database management and scalability.
  • Users appreciate the user-friendly analytics tools of Tiger Data, enhancing data visualization and decision-making efficiency.
  • Users praise the high performance and quick setup of Tiger Data, enhancing efficiency in data management and analysis.
Cons
  • Users find the pricing to be high, particularly impacting smaller projects and startups with limited budgets.
  • Users find the expensive licensing of Tiger Data burdensome, especially for hobby projects with high monthly costs.
  • Users report missing features like a vector visualizer and incomplete Terraform provider, impacting usability and functionality.
  • Users find the poor UI of Tiger Data to be slow and cumbersome, especially with large data volumes.
  • Users experience slow performance with Tiger Data, particularly with heavy interfaces and large data volumes.

What Are Recent G2 Reviews of Tiger Data?

InfluxDB

InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 300 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University at https://university.influxdata.com

Average Rating: 4.5/5.0

Total Reviews: 98

How Do G2 Users Rate InfluxDB?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 9.1/10)
  • Ease of Admin: 8.7/10 (Category avg: 8.4/10)
  • Quality of Support: 8.6/10 (Category avg: 8.8/10)

Who Is the Company Behind InfluxDB?

  • Seller: InfluxData
  • Year Founded: 2012
  • HQ Location: San Francisco, California
  • LinkedIn® Page: www.linkedin.com
    167 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 60% Small, 23% Medium

What Are Recent G2 Reviews of InfluxDB?

What Are G2 Users Discussing About InfluxDB?

TDengine

TDengine is a time-series database designed to help traditional industries overcome the challenges of Industry 4.0 and Industrial IoT. It enables real-time ingestion, storage, analysis, and distribution of petabytes of data per day, generated by billions of sensors and data collectors. By making big data accessible and affordable, TDengine helps everyone — from independent developers and startups to industry stalwarts and multinationals — unlock the true value of their data. TDengine differentiates itself from typical time-series databases with the following four core competencies: - High Performance at Any Scale: With its distributed scalable architecture that grows together with your business, TDengine can store and process massive datasets up to 10.6x faster than other TSDBs — all while providing the split-second latency that your real-time visualization and reporting apps demand. - Efficient Data Storage: With its unique design and data model, TDengine provides the most cost-effective solution for storing your operations data, including tiered storage, S3, and 10:1 data compression, ensuring that you can get valuable business insights from your data without breaking the bank. - Data Consolidation Across Sites: With built-in connectors for a wide variety of industrial sources — MQTT, Kafka, OPC, PI System, and more — TDengine delivers zero-code data ingestion and extract, transform, and load (ETL) in a centralized platform that acts as a single source of truth for your business. - Comprehensive Solution for Industrial Data: With out-of-the-box data subscription, caching, and stream processing, TDengine is more than just a time-series database — it includes all key components needed for industrial data storage and processing built into a single product and accessible through familiar SQL statements.

Average Rating: 4.7/5.0

Total Reviews: 14

How Do G2 Users Rate TDengine?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 9.1/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.4/10)
  • Quality of Support: 8.6/10 (Category avg: 8.8/10)

Who Is the Company Behind TDengine?

  • Seller: TDengine
  • Year Founded: 2017
  • HQ Location: Los Gatos, California
  • LinkedIn® Page: www.linkedin.com
    145 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 93% Small, 7% Medium

What Are Recent G2 Reviews of TDengine?

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CrateDB

The real-time database for analytics, search, and AI. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distributed and containerized database that runs queries in milliseconds, regardless of data complexity, volume and velocity.

Average Rating: 4.4/5.0

Total Reviews: 82

How Do G2 Users Rate CrateDB?

  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 9.1/10)
  • Ease of Admin: 8.9/10 (Category avg: 8.4/10)
  • Quality of Support: 9.1/10 (Category avg: 8.8/10)

Who Is the Company Behind CrateDB?

  • Seller: CrateDB
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Redwood City, CA
  • LinkedIn® Page: www.linkedin.com
    48 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 54% Small, 31% Medium

What Do G2 Reviewers Say About CrateDB?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of CrateDB, enjoying its simple UI and quick setup for database management.
  • Users appreciate the speed and native SQL interface of CrateDB, enabling seamless queries on structured and semi-structured data.
  • Users find easy integrations with CrateDB, enabling seamless connectivity with various tools and data types.
  • Users appreciate the flexibility of CrateDB, enabling seamless handling of diverse data types and instant querying capabilities.
  • Users value CrateDB's intuitive UI and robust multi-model support, enhancing functionality for diverse data needs.
Cons
  • Users note a lack of features in CrateDB, particularly in comparison tools and advanced functions for analytics.
  • Users express concerns about software limitations, such as a lack of advanced features and control options.
  • Users express concerns about limited features, particularly regarding connectors, security, and advanced analytics in CrateDB.
  • Users note poor documentation for CrateDB, especially regarding Kubernetes configurations and integration with other systems.
  • Users find complex configuration challenging, particularly with Kubernetes and limited sharding control, affecting ease of use.

What Are Recent G2 Reviews of CrateDB?

KX

We power the time-aware data-driven decisions that enable fast-moving organizations to realize the full potential of their AI investments and outpace competitors. Our technology delivers transformational value by addressing data challenges around completeness, timeliness, and efficiency. We enable organizations to understand change over time and generate faster, more accurate insights — at any scale, and with cost efficiency. Our technology is essential to the operations of the world's top investment banks, aerospace and defense, high-tech manufacturing, healthcare and life sciences, automotive, and fleet telematics organizations. The primary audience for KX encompasses line-of-business leaders, developers, data scientists, and data engineers who require sophisticated analytics capabilities to create high-performance, data-driven applications. With its unmatched speed and scalability, KX allows users to efficiently process large volumes of data, whether in cloud environments, on-premises, or at the edge. This flexibility ensures that organizations can integrate KX technology into their existing workflows seamlessly, enhancing their analytical capabilities without causing disruptions to ongoing operations. KX distinguishes itself in the analytics landscape through its independently benchmarked performance, recognized as the fastest available on the market. This speed is vital for businesses that depend on real-time data insights to inform their decision-making processes. By enabling users to uncover richer, actionable insights quickly, KX facilitates faster and more informed choices, driving competitive advantage and transformative growth. Its ability to manage complex data sets and deliver insights promptly is particularly advantageous for industries that operate in fast-paced environments, where timely information is critical. Key features of KX include advanced time series and vector data analytics capabilities, which enable efficient management and analysis of extensive data volumes. Furthermore, KX integrates seamlessly with popular analytics tools, enhancing their performance and allowing users to maximize their existing investments. The platform's architecture is designed for high performance, ensuring that organizations can scale their analytics operations as needed without sacrificing speed or efficiency. With a global presence across North America, Europe, and Asia Pacific, KX is trusted by leading organizations to spearhead their data and AI initiatives. By providing a powerful analytics solution, KX not only enhances operational efficiency but also fosters a culture of innovation, empowering businesses to remain competitive in an increasingly data-driven world.

Average Rating: 4.6/5.0

Total Reviews: 50

How Do G2 Users Rate KX?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.1/10)
  • Ease of Admin: 8.9/10 (Category avg: 8.4/10)
  • Quality of Support: 8.7/10 (Category avg: 8.8/10)

Who Is the Company Behind KX?

  • Seller: KX
  • Year Founded: 1996
  • HQ Location: NY, USA
  • LinkedIn® Page: www.linkedin.com
    492 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Banking
  • Company Size: 57% Large, 25% Small

What Do G2 Reviewers Say About KX?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the exceptional speed of KX, especially for processing time-series data in real-time.
  • Users praise the superior performance of KX for creating fast, real-time dashboards with powerful features.
  • Users commend the exceptional speed of KX in processing time-series data, enhancing overall performance and efficiency.
  • Users find KDB/Q to be highly efficient, excelling in rapid columnar data manipulation and aggregation.
  • Users praise KX for its fast processing, making data manipulation and aggregation incredibly efficient and responsive.
Cons
  • Users find the steep learning curve of KX challenging, requiring significant time and dedication to master.
  • Users find the difficult learning curve of KX challenging, especially due to limited external resources for beginners.
  • Users note a steep learning curve with KX, which can be challenging due to limited external resources.
  • Users find the complexity of KX's q language challenging, citing its cryptic syntax and steep learning curve.
  • Users find the license fees for KX too expensive for occasional use, especially for small organizations and hobbyists.

What Are Recent G2 Reviews of KX?

QuestDB

QuestDB is an open-source, SQL-first time-series database built for the most demanding workloads—from trading floors to mission control. A multi-tier design keeps hot data in native partitions and cold history in Parquet/object storage, queried via one SQL layer. Vectorized, columnar execution delivers high-throughput ingest and millisecond queries. Open formats (Parquet/Arrow) make it AI-ready and lock-in free. Deploy self-hosted or in your cloud (BYOC).

Average Rating: 4.8/5.0

Total Reviews: 33

How Do G2 Users Rate QuestDB?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.1/10)
  • Ease of Admin: 9.0/10 (Category avg: 8.4/10)
  • Quality of Support: 9.8/10 (Category avg: 8.8/10)

Who Is the Company Behind QuestDB?

  • Seller: QuestDB
  • Year Founded: 2019
  • HQ Location: New York, US
  • LinkedIn® Page: www.linkedin.com
    29 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Computer Software
  • Company Size: 69% Small, 17% Medium

What Are Recent G2 Reviews of QuestDB?

What Are G2 Users Discussing About QuestDB?

Warp 10

Warp 10 is a modular open source platform that collects, stores, and analyzes data from sensors. Shaped for the IoT with a flexible data model, Warp 10 provides a unique and powerful framework to simplify your processes from data collection to analysis and visualization, with the support of geolocated data in its core model (called Geo Time Series). Warp 10 is both a time series database, and a powerful analytics environment, allowing you to make: statistics, extraction of characteristics for training models, filtering and cleaning of data, detection of patterns and anomalies, synchronization or even forecasts. The Platform is GDPR compliant and secure by design using cryptographic tokens to manage authentication and authorization. The analysis environment can be implemented within a large ecosystem of software components such as Spark, Kafka Streams, Hadoop, Jupyter, Zeppelin and many more. It can also access data stored in many existing solutions, relational or NoSQL databases, search engines and S3 type object storage system. Warp 10 fits your needs at any scale, from small devices to distributed clusters, and can be used in many verticals: industry, transportation, health, monitoring, finance, energy, etc. A collection of tools completes the Platform and ease your work on time series data: - WarpStudio, a web editor, to edit and execute your WarpScript code. - WarpFleet, the artifact repository, to share your plugins, extensions, and macros. - Sandbox, a hosted environment for test-driving Warp 10 without deploying it. - Discovery, a dynamic dashboarding solution with a unique dashboard as code approach. - HFiles, a high-density storage solution providing infinite storage scalability while retaining all analytics capabilities.

Average Rating: 4.4/5.0

Total Reviews: 35

How Do G2 Users Rate Warp 10?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 9.1/10)
  • Ease of Admin: 8.1/10 (Category avg: 8.4/10)
  • Quality of Support: 8.8/10 (Category avg: 8.8/10)

Who Is the Company Behind Warp 10?

  • Seller: SenX
  • HQ Location: Guipavas, Brittany
  • LinkedIn® Page: www.linkedin.com
    12 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 50% Small, 31% Medium

What Are Recent G2 Reviews of Warp 10?

What Are G2 Users Discussing About Warp 10?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated