# Best Time Series Databases

## How Many Time Series Databases Products Does G2 Track?

**Total Products under this Category:** 52

### Category Stats (Aug 2026)

- **Average Rating:** 4.46/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Amazon Timestream (+0.35%) - Among all products in this category, Amazon Timestream recorded the largest rating increase compared to last month

_Last updated: August 01, 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
- 52+ 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](https://www.g2.com/categories/time-series-databases/grids.png?focus%5B%5D=78768&focus%5B%5D=16850&focus%5B%5D=6114&focus%5B%5D=113016&focus%5B%5D=1220290&focus%5B%5D=87436&focus%5B%5D=17329&focus%5B%5D=131714)

Highlighted products: Tiger Data, CrateDB, KX, InfluxDB, TDengine, Amazon Timestream, Prometheus, and QuestDB.

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

**Sponsored**

### Google Cloud BigTable

Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1761&secure%5Bchosen_at%5D=2026-08-01T13%3A38%3A46Z&secure%5Bdisplayable_resource_id%5D=1761&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1761&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=6071&secure%5Bresource_id%5D=1761&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Ftime-series-databases%3Fopen_modal_url%3D%252Fproducts%252Faerospike%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Ftime-series-databases%2526source%253Dcategory&secure%5Btoken%5D=1ee32592cf455b5502cc7397065addf9665fe1797c58ceae50cc63fcc1f9c70f&secure%5Burl%5D=https%3A%2F%2Fcloud.google.com%2F&secure%5Burl_type%5D=company_website)

### [Tiger Data](https://www.g2.com/products/tiger-data/reviews)

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:** 33

#### How Do G2 Users Rate Tiger Data?

- **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 9.0/10)
- **Ease of Admin:** 8.7/10 (Category avg: 8.3/10)
- **Quality of Support:** 9.5/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Tiger Data?

- **Seller:** [Tiger Data (creators of TimescaleDB)](https://www.g2.com/sellers/tiger-data-creators-of-timescaledb)
- **Company Website:** www.tigerdata.com
- **Year Founded:** 2015
- **HQ Location:** New York, New York
- **Twitter:** @TigerDatabase  
1,343 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8d9b4e0783735b04ef51b044174dccf919fb5a32b51399414b43ec81b82d0a32&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftimescaledb%2F&secure%5Burl_type%5D=linkedin_company_website)  
40 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 79% Small, 18% Medium

#### What Do G2 Reviewers Say About Tiger Data?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **clean and intuitive UI** of Tiger Data, making navigation and setup effortless.
- Users appreciate the **easy setup** of Tiger Data, enabling quick integration and efficient database management.
- Users love the **setup ease** of Tiger Data, finding it quick and user-friendly for managing scalable databases.
- Users appreciate the **user-friendly analytics tools** of Tiger Data, which simplify data analysis and enhance decision-making speed.
- Users commend the **high performance** of Tiger Data, noting quick processing and effective decision-making capabilities.

##### Cons

- Users find the **pricing too high** and not flexible enough for smaller projects or startups.
- Users find Tiger Data's **expensive licensing** and costs challenging, especially when budgeting for larger projects.
- Users report **missing features** , such as advanced visualizers and a complete Terraform provider, affecting overall usability.
- Users find the **UI slow and heavy** , particularly when managing large datasets, affecting overall workflow efficiency.
- Users experience **slow performance** with Tiger Data's interface, particularly when handling large datasets, affecting their workflow efficiency.

#### What Are Recent G2 Reviews of Tiger Data?

**["Great database for time series data"](https://www.g2.com/survey_responses/tiger-data-review-8771352)**

**Rating:** 5.0/5.0 stars

_— Daniel R._

[Read full review](https://www.g2.com/survey_responses/tiger-data-review-8771352)

**["Efficient and powerful database platform for scalable analytics"](https://www.g2.com/survey_responses/tiger-data-review-11732784)**

**Rating:** 5.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/tiger-data-review-11732784)

### [CrateDB](https://www.g2.com/products/cratedb/reviews)

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: 9.0/10)
- **Ease of Admin:** 8.9/10 (Category avg: 8.3/10)
- **Quality of Support:** 9.1/10 (Category avg: 8.8/10)

#### Who Is the Company Behind CrateDB?

- **Seller:** [CrateDB](https://www.g2.com/sellers/cratedb)
- **Company Website:** cratedb.com
- **Year Founded:** 2013
- **HQ Location:** Redwood City, CA
- **Twitter:** @cratedb  
4,176 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=121f4072f17568c8e57d89de0363476840b4fc79b39ceb272ef7594a38994b21&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcrateio%2F&secure%5Burl_type%5D=linkedin_company_website)  
44 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 appreciate the **ease of setup and SQL querying** , which makes CrateDB accessible and efficient for data analysis.
- Users value the **fast SQL queries** in CrateDB, enabling seamless streaming and processing of complex data efficiently.
- Users appreciate the **easy integrations** of CrateDB, facilitating seamless connections with tools for efficient data handling.
- Users value the **flexibility** of CrateDB, appreciating its adaptability to various data types and deployment setups.
- Users praise the **multi-model data support and advanced search capabilities** , finding it versatile and easy to use.

##### Cons

- Users note a **lack of features** in CrateDB, particularly in comparative insights and advanced SQL functions.
- Users find **software limitations** in CrateDB, including a lack of advanced features and support for complex operations.
- Users express concerns about the **limited features** of CrateDB, particularly regarding connectors and analytical capabilities.
- Users find the **poor documentation** of CrateDB lacking, especially regarding custom configurations and integrations.
- Users find **complex configuration** challenges in CrateDB, especially regarding Kubernetes and sharding management.

#### What Are Recent G2 Reviews of CrateDB?

**["Easy Setup, High Performance SQL"](https://www.g2.com/survey_responses/cratedb-review-12043586)**

**Rating:** 4.0/5.0 stars

_— Marcin G._

[Read full review](https://www.g2.com/survey_responses/cratedb-review-12043586)

**["Scalable Real-Time Time-Series SQL That’s Built for Observability"](https://www.g2.com/survey_responses/cratedb-review-12452794)**

**Rating:** 5.0/5.0 stars

_— Cristian M._

[Read full review](https://www.g2.com/survey_responses/cratedb-review-12452794)

### [KX](https://www.g2.com/products/kx-kx/reviews)

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: 9.0/10)
- **Ease of Admin:** 8.9/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.7/10 (Category avg: 8.8/10)

#### Who Is the Company Behind KX?

- **Seller:** [KX](https://www.g2.com/sellers/kx-a145756d-91d3-463e-a51d-9e13b1ac577c)
- **Year Founded:** 1996
- **HQ Location:** NY, USA
- **Twitter:** @kxsystems  
4,168 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=eef4e5083e8584217de5e815e0456b4102092203ee10366e8b6e38767635c2ca&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fkx-systems&secure%5Burl_type%5D=linkedin_company_website)  
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 highlight the **lightning-fast performance** of KX's kx-dashboard, making report creation quick and efficient.
- Users praise the **exceptional performance** of KX, highlighting its speed and efficiency in dashboard creation.
- Users highlight the **powerful and versatile** capabilities of KX products for efficient data processing and problem-solving.
- Users admire the **powerful and versatile tools** of KX, enhancing productivity and problem-solving efficiency.
- Users highlight the **unparalleled real-time data processing** of KX, enabling swift and informed decision-making in dynamic markets.

##### Cons

- Users find the **learning curve steep** , requiring significant time and dedication to master KX effectively.
- Users find the **difficult learning** curve of KX challenging, especially due to a lack of external resources.
- Users find the **learning curve steep** for KX, making initial understanding and coding efficiency challenging.
- Users find KX licenses **expensive** , especially for hobbyists and small organizations, impacting long-term adoption decisions.
- Users face **initial difficulties** with KX due to limited resources and challenges in integration with other applications.

#### What Are Recent G2 Reviews of KX?

**["The best ecosystem for quants and data engineers"](https://www.g2.com/survey_responses/kx-review-10651130)**

**Rating:** 5.0/5.0 stars

_— Alex T._

[Read full review](https://www.g2.com/survey_responses/kx-review-10651130)

**["KX is an incredible company with the best time-series database in the world."](https://www.g2.com/survey_responses/kx-review-11467454)**

**Rating:** 5.0/5.0 stars

_— Kenan D._

[Read full review](https://www.g2.com/survey_responses/kx-review-11467454)

### [InfluxDB](https://www.g2.com/products/influxdata-influxdb/reviews)

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:** 4.4/5.0

**Total Reviews:** 98

#### How Do G2 Users Rate InfluxDB?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.0/10)
- **Ease of Admin:** 8.7/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.6/10 (Category avg: 8.8/10)

#### Who Is the Company Behind InfluxDB?

- **Seller:** [InfluxData](https://www.g2.com/sellers/influxdata-c4358581-7be9-4eec-a0bc-bd083f9c5468)
- **Year Founded:** 2012
- **HQ Location:** San Francisco, California
- **Twitter:** @InfluxData  
22 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e449f4c231d7fd3567374afe4a101631f64aadea1ec0ccad82bebb46ec82783c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F5159145%2F&secure%5Burl_type%5D=linkedin_company_website)  
179 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 59% Small, 23% Medium

#### What Are Recent G2 Reviews of InfluxDB?

**["Best Time-series database"](https://www.g2.com/survey_responses/influxdb-review-9729657)**

**Rating:** 4.5/5.0 stars

_— Verified User in Automotive_

[Read full review](https://www.g2.com/survey_responses/influxdb-review-9729657)

**["Fast, Economical, and Flexible for Time-Series"](https://www.g2.com/survey_responses/influxdb-review-12738371)**

**Rating:** 5.0/5.0 stars

_— Hanna R._

[Read full review](https://www.g2.com/survey_responses/influxdb-review-12738371)

#### What Are G2 Users Discussing About InfluxDB?

- [What are the benefits and drawbacks of using InfluxDB for time-series data storage?](https://www.g2.com/discussions/what-are-the-benefits-and-drawbacks-of-using-influxdb-for-time-series-data-storage)
- [What is InfluxDB used for?](https://www.g2.com/discussions/influxdb-what-is-influxdb-used-for)
- [How do I write an InfluxDB query?](https://www.g2.com/discussions/how-do-i-write-an-influxdb-query)
- [Does Prometheus use InfluxDB?](https://www.g2.com/discussions/does-prometheus-use-influxdb)
- [Is InfluxDB free to use?](https://www.g2.com/discussions/is-influxdb-free-to-use) - 2 comments

### [TDengine](https://www.g2.com/products/tdengine/reviews)

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: 9.0/10)
- **Ease of Admin:** 10.0/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.6/10 (Category avg: 8.8/10)

#### Who Is the Company Behind TDengine?

- **Seller:** [TDengine](https://www.g2.com/sellers/tdengine)
- **Year Founded:** 2017
- **HQ Location:** Los Gatos, California
- **Twitter:** @TDengineDB  
3,843 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fd4fb9f4e49f22333f23f148df86e1ad55ee46b254d69d62c3c35e1f27b3cb8f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftdengine%2F&secure%5Burl_type%5D=linkedin_company_website)  
141 employees on LinkedIn®

#### Who Uses This Product?

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

#### What Are Recent G2 Reviews of TDengine?

**["High-Performance, Scalable Time-Series Database for Industrial IoT"](https://www.g2.com/survey_responses/tdengine-review-10559129)**

**Rating:** 4.5/5.0 stars

_— Subham C._

[Read full review](https://www.g2.com/survey_responses/tdengine-review-10559129)

**["Powerful Time-Series Database for High-Performance IoT and Real-Time Analytics"](https://www.g2.com/survey_responses/tdengine-review-10465865)**

**Rating:** 4.5/5.0 stars

_— Vishnu B._

[Read full review](https://www.g2.com/survey_responses/tdengine-review-10465865)

### [Amazon Timestream](https://www.g2.com/products/amazon-timestream/reviews)

Amazon Timestream is a fast, scalable, fully managed time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day at 1/10th the cost of relational databases. Driven by the rise of IoT devices, IT systems, and smart industrial machines, time-series data, data that measures how things change over time, is one of the fastest growing data types.

**Average Rating:** 3.7/5.0

**Total Reviews:** 21

#### How Do G2 Users Rate Amazon Timestream?

- **Has the product been a good partner in doing business?:** 6.3/10 (Category avg: 9.0/10)
- **Ease of Admin:** 7.1/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.2/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Amazon Timestream?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 43% Medium, 30% Small

#### What Do G2 Reviewers Say About Amazon Timestream?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **reliability** of Amazon Timestream, noting its 100% on-time performance and low latency.

#### What Are Recent G2 Reviews of Amazon Timestream?

**["Best cloud service provider in the industry"](https://www.g2.com/survey_responses/amazon-timestream-review-10618319)**

**Rating:** 5.0/5.0 stars

_— Meghna A._

[Read full review](https://www.g2.com/survey_responses/amazon-timestream-review-10618319)

**["Efficient Time-Series Analytics with Amazon Timestream’s SQL and Managed Scaling"](https://www.g2.com/survey_responses/amazon-timestream-review-13180512)**

**Rating:** 4.0/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/amazon-timestream-review-13180512)

### [QuestDB](https://www.g2.com/products/questdb/reviews)

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: 9.0/10)
- **Ease of Admin:** 9.0/10 (Category avg: 8.3/10)
- **Quality of Support:** 9.8/10 (Category avg: 8.8/10)

#### Who Is the Company Behind QuestDB?

- **Seller:** [QuestDB](https://www.g2.com/sellers/questdb)
- **Year Founded:** 2019
- **HQ Location:** New York, US
- **Twitter:** @QuestDb  
2,305 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7797ae8da259d3a8304fc702245cffa348981f688e5f2804f08649066959d4fe&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fquestdb%2F&secure%5Burl_type%5D=linkedin_company_website)  
28 employees on LinkedIn®

#### Who Uses This Product?

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

#### What Are Recent G2 Reviews of QuestDB?

**["Game changer in Time Series Databases"](https://www.g2.com/survey_responses/questdb-review-8633490)**

**Rating:** 5.0/5.0 stars

_— Ajay P._

[Read full review](https://www.g2.com/survey_responses/questdb-review-8633490)

**["QuestDB is a strong choice for time series in 2025"](https://www.g2.com/survey_responses/questdb-review-10953363)**

**Rating:** 5.0/5.0 stars

_— Verified User in Oil & Energy_

[Read full review](https://www.g2.com/survey_responses/questdb-review-10953363)

#### What Are G2 Users Discussing About QuestDB?

- [What is QuestDB used for?](https://www.g2.com/discussions/what-is-questdb-used-for)

### [Prometheus](https://www.g2.com/products/prometheus/reviews)

Prometheus is an open-source systems monitoring and alerting toolkit designed for reliability and scalability. It collects and stores metrics as time series data, enabling real-time monitoring of applications, systems, and services. With its powerful query language, PromQL, users can analyze and visualize data effectively. Prometheus operates independently, requiring no external dependencies, and integrates seamlessly with various service discovery mechanisms, making it ideal for dynamic environments. Key Features and Functionality: - Dimensional Data Model: Prometheus organizes time series data using a flexible dimensional model, identifying each series by a metric name and a set of key-value pairs. - Powerful Query Language (PromQL): PromQL allows users to query, correlate, and transform time series data for visualizations, alerts, and more. - Precise Alerting: Alerting rules based on PromQL leverage the dimensional data model, with a separate Alertmanager component handling notifications and silencing. - Simple Operation: Prometheus servers function independently, relying solely on local storage. Developed in Go, the statically linked binaries are easy to deploy across various environments. - Instrumentation Libraries: A wide range of official and community-contributed libraries are available for instrumenting applications in most major programming languages. - Ubiquitous Integrations: Prometheus offers numerous integrations, facilitating easy extraction of metrics from existing systems. Primary Value and Problem Solved: Prometheus addresses the need for a robust, scalable, and flexible monitoring solution in modern, dynamic environments. Its ability to collect, store, and query time series data empowers organizations to gain real-time insights into their systems' performance and health. By providing precise alerting and seamless integration with various service discovery mechanisms, Prometheus ensures that issues are detected and addressed promptly, enhancing system reliability and operational efficiency.

**Average Rating:** 4.5/5.0

**Total Reviews:** 61

#### How Do G2 Users Rate Prometheus?

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.0/10)
- **Ease of Admin:** 8.1/10 (Category avg: 8.3/10)
- **Quality of Support:** 7.9/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Prometheus?

- **Seller:** [Prometheus Authors](https://www.g2.com/sellers/prometheus-authors)
- **Year Founded:** 1998
- **HQ Location:** Raleigh, North Carolina, United States
- **Twitter:** @PrometheusIO  
51,776 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8750459eef729dedb46a964c451af89a6fc48254eb80e7ea24759b0dce4445af&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fprometheusgroup%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,175 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, DevOps Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 40% Medium, 32% Small

#### What Do G2 Reviewers Say About Prometheus?

_AI-generated summary from verified user reviews_

##### Pros

- Users find the **easy integrations** with alerting systems and applications like Grafana to be very beneficial.
- Users appreciate the **easy integration** with various tools like Grafana and messaging platforms, enhancing usability.
- Users praise the **powerful alerting system** of Prometheus, appreciating its efficiency and ease of setup.
- Users value the **real-time monitoring** capabilities of Prometheus, appreciating its efficiency and seamless integration with tools.
- Users highlight the **efficiency of real-time monitoring** with Prometheus, especially in cloud-native environments.

##### Cons

- Users find the **learning curve challenging** , especially with mastering PromQL and managing large-scale implementations.
- Users find the **difficult learning curve** of Prometheus challenging, especially in mastering PromQL and metric management.
- Users find the **difficult installation** of Prometheus challenging, particularly those with limited technical skills.
- Users find the **graph visualization challenging** without Grafana, making data interpretation difficult.
- Users find the **alerting features cumbersome** , indicating a need for improvements in ease of use.

#### What Are Recent G2 Reviews of Prometheus?

**["Easy Setup and intuitive service monitoring tool"](https://www.g2.com/survey_responses/prometheus-review-10608485)**

**Rating:** 5.0/5.0 stars

_— Chathura S._

[Read full review](https://www.g2.com/survey_responses/prometheus-review-10608485)

**["Best tool to pull metrics and present them in a graphical dashboard"](https://www.g2.com/survey_responses/prometheus-review-12178531)**

**Rating:** 4.5/5.0 stars

_— Ravi S._

[Read full review](https://www.g2.com/survey_responses/prometheus-review-12178531)

#### What Are G2 Users Discussing About Prometheus?

- [What is Prometheus used for?](https://www.g2.com/discussions/what-is-prometheus-used-for) - 1 comment
- [What does Prometheus do?](https://www.g2.com/discussions/what-does-prometheus-do) - 1 comment
- [Who created Prometheus software?](https://www.g2.com/discussions/who-created-prometheus-software)
- [How does Prometheus work?](https://www.g2.com/discussions/how-does-prometheus-work)
- [What is Prometheus good for?](https://www.g2.com/discussions/what-is-prometheus-good-for)

### [dataPARC](https://www.g2.com/products/dataparc/reviews)

dataPARC is a self-service industrial data visualization & analytics toolkit designed for process manufacturers seeking to improve quality, increase yield, & optimize their operations. Collect, connect, & analyze IoT data from across the plant with dataPARC’s process data analytics & visualization platform. Solve challenging process & product quality issues with simple, yet powerful trending & diagnostic analytics tools. Build sophisticated dashboards and displays to monitor processes & share production KPIs across your enterprise. Leverage artificial intelligence (AI) and machine learning to drive continuous improvement & increase margins via predictive modelling.

**Average Rating:** 4.9/5.0

**Total Reviews:** 39

#### How Do G2 Users Rate dataPARC?

- **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.0/10)
- **Ease of Admin:** 8.8/10 (Category avg: 8.3/10)
- **Quality of Support:** 9.6/10 (Category avg: 8.8/10)

#### Who Is the Company Behind dataPARC?

- **Seller:** [dataPARC](https://www.g2.com/sellers/dataparc)
- **Year Founded:** 1997
- **HQ Location:** Washougal, US
- **Twitter:** @dataPARCsolutio  
26 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=27323ee37aa2382ec8ca08b2507ec91973c8dc375aa368f44fb2cfb281807c19&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdataparc-solutions%2F&secure%5Burl_type%5D=linkedin_company_website)  
113 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Paper & Forest Products
- **Company Size:** 62% Medium, 31% Large

#### What Do G2 Reviewers Say About dataPARC?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **customizability** of dataPARC, enabling tailored displays and efficient data management for all skill levels.
- Users commend the **easy-to-use data analysis** capabilities of dataPARC, enhancing their productivity and efficiency in monitoring.
- Users value the **data visualization capabilities** of dataPARC, appreciating its simplicity and expansive functionality.
- Users value the **user-friendly design** of dataPARC, making navigation and information access simple and efficient.
- Users value the **personalization and depth of dataPARC** , perfect for both novices and experienced users alike.

##### Cons

- Users find the **complex usability** of dataPARC challenging, particularly due to the lack of detailed examples and explanations.
- Users find the **data management issues** frustrating, particularly due to insufficient examples and guidance on VB commands.
- Users find **difficulties in learning** due to limited examples and explanations for the VB language in dataPARC.
- Users find the **steep learning curve** of dataPARC challenging due to insufficient examples and explanations of VB language.
- Users feel the need for **enhanced VB language resources** , as existing materials lack clarity and accessibility for beginners.

#### What Are Recent G2 Reviews of dataPARC?

**["Great Tool for Technical and Non-Technical Users alike"](https://www.g2.com/survey_responses/dataparc-review-11487365)**

**Rating:** 4.5/5.0 stars

_— Verified User in Paper & Forest Products_

[Read full review](https://www.g2.com/survey_responses/dataparc-review-11487365)

**["Ease of Use and Quick Response, But the Manual Could Improve"](https://www.g2.com/survey_responses/dataparc-review-11960468)**

**Rating:** 5.0/5.0 stars

_— Unidades K G._

[Read full review](https://www.g2.com/survey_responses/dataparc-review-11960468)

#### What Are G2 Users Discussing About dataPARC?

- [What is dataPARC used for?](https://www.g2.com/discussions/what-is-dataparc-used-for) - 1 comment

### [Epsilon3](https://www.g2.com/products/epsilon3/reviews)

Epsilon3 is the first AI-powered procedure and resource management tool designed for teams that engineer, build, test, and operate advanced products and systems. ✔ Standardize & Optimize Processes Our interoperable procedure execution system replaces inefficient checklists managed with paper, spreadsheets, docs, and outdated planning tools. Automatically track every step to ensure quality, consistency, and traceability. ✔ Fuel Rapid Iteration & Innovation Built-in version control, conditional workflows, and real-time data synchronization keep stakeholders on the same page. Enable continuous improvement and quick, data-driven decisions to stay far ahead of the competition. ✔ Streamline & Scale Operations Securely integrate siloed systems and automate repetitive, error-prone tasks to boost productivity and prevent delays. Simplify training, reduce costs, and maintain efficiency as your operations expand to meet demand. Epsilon3 is trusted by industry leaders like NASA, Blue Origin, Firefly Aerospace, Sierra Space, Redwire, Shift4, AeroVironment, Commonwealth Fusion Systems, and other commercial and government organizations. The company and platform were built by engineering leaders from SpaceX, NASA, and Google. Learn how: https://www.epsilon3.io/

**Average Rating:** 4.2/5.0

**Total Reviews:** 259

#### How Do G2 Users Rate Epsilon3?

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.0/10)
- **Ease of Admin:** 8.7/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.9/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Epsilon3?

- **Seller:** [Epsilon3](https://www.g2.com/sellers/epsilon3)
- **Company Website:** epsilon3.io
- **Year Founded:** 2021
- **HQ Location:** Los Angeles, California
- **Twitter:** @Epsilon3Inc  
1,068 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4ebd3db3ebaf8d4d7fb61b4d447133202b9069ea67424b10333f9fc6af291687&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fepsilon3inc&secure%5Burl_type%5D=linkedin_company_website)  
33 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Customer Service Representative
- **Top Industries:** Aviation & Aerospace, Financial Services
- **Company Size:** 43% Medium, 40% Large

#### What Do G2 Reviewers Say About Epsilon3?

_AI-generated summary from verified user reviews_

##### Pros

- Users find the **ease of use** in Epsilon3 beneficial, thanks to clear guides and well-structured information.
- Users value the **efficiency of procedure management** in Epsilon3, enjoying streamlined workflows and easy access to documentation.
- Users appreciate the **efficiency** of Epsilon3, as it centralizes processes and saves time while minimizing errors.
- Users value the **efficiency improvement** Epsilon3 offers, enhancing workflow and reducing paperwork clutter significantly.
- Users value the **version control and edit request features** of Epsilon3, enhancing their collaboration and article management.

##### Cons

- Users face **complexity issues** with Epsilon3, particularly with slow login times and a confusing interface.
- Users note a significant **initial learning curve** that temporarily hinders productivity before they fully master Epsilon3.
- Users face a **steep learning curve** with Epsilon3, causing initial frustration and temporary productivity loss.
- Users find the **procedures confusing** , complicating searches and slowing down their workflow, especially for experienced team members.
- Users express frustration with the **poor interface design** of Epsilon3, finding it confusing and time-consuming to navigate.

#### What Are Recent G2 Reviews of Epsilon3?

**["Best software ever!"](https://www.g2.com/survey_responses/epsilon3-review-8714480)**

**Rating:** 5.0/5.0 stars

_— Domantas B._

[Read full review](https://www.g2.com/survey_responses/epsilon3-review-8714480)

**["Marvelous compared to piles and piles of on-paper checklists"](https://www.g2.com/survey_responses/epsilon3-review-8715685)**

**Rating:** 4.5/5.0 stars

_— Minxi L._

[Read full review](https://www.g2.com/survey_responses/epsilon3-review-8715685)

### [Aerospike](https://www.g2.com/products/aerospike/reviews)

The Aerospike Real-time Data Platform enables organizations to act instantly across billions of transactions while reducing server footprint by up to 80 percent. The Aerospike multi-cloud platform powers real-time applications with predictable sub-millisecond performance up to petabyte-scale with five-nines uptime with globally distributed, strongly consistent data. Applications built on the Aerospike Real-time Data Platform fight fraud, provide recommendations that dramatically increase shopping cart size, enable global digital payments, and deliver hyper-personalized user experiences to tens of millions of customers. Customers such as Airtel, Experian, Nielsen, PayPal, Snap, Wayfair, and Yahoo rely on Aerospike as their data foundation for the future.

**Average Rating:** 4.4/5.0

**Total Reviews:** 80

#### How Do G2 Users Rate Aerospike?

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.0/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.9/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Aerospike?

- **Seller:** [Aerospike](https://www.g2.com/sellers/aerospike)
- **Year Founded:** 2009
- **HQ Location:** Mountain View, CA
- **Twitter:** @aerospikedb  
7,825 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a1efcdd1cb1be6598faab632ab3932d491ce3bd25f4cbb89562a0fbedc6323c4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2696852%2F&secure%5Burl_type%5D=linkedin_company_website)  
307 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Marketing and Advertising, Information Technology and Services
- **Company Size:** 45% Medium, 34% Large

#### What Are Recent G2 Reviews of Aerospike?

**["Unbelievably fast database with super replication - started production with it in one day"](https://www.g2.com/survey_responses/aerospike-review-4484061)**

**Rating:** 5.0/5.0 stars

_— Aleksander K._

[Read full review](https://www.g2.com/survey_responses/aerospike-review-4484061)

**["NOSQL database that is highly scalable."](https://www.g2.com/survey_responses/aerospike-review-4548629)**

**Rating:** 4.5/5.0 stars

_— Shashank S._

[Read full review](https://www.g2.com/survey_responses/aerospike-review-4548629)

#### What Are G2 Users Discussing About Aerospike?

- [How has Aerospike supported your real-time data processing, and what do you like most about it?](https://www.g2.com/discussions/how-has-aerospike-supported-your-real-time-data-processing-and-what-do-you-like-most-about-it)
- [What is Aerospike used for?](https://www.g2.com/discussions/aerospike-what-is-aerospike-used-for)
- [Is NoSQL an Aerospike?](https://www.g2.com/discussions/is-nosql-an-aerospike)
- [Is Aerospike free?](https://www.g2.com/discussions/is-aerospike-free)
- [What is Aerospike used for?](https://www.g2.com/discussions/what-is-aerospike-used-for)

### [Warp 10](https://www.g2.com/products/warp-10/reviews)

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: 9.0/10)
- **Ease of Admin:** 8.1/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.8/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Warp 10?

- **Seller:** [SenX](https://www.g2.com/sellers/senx)
- **HQ Location:** Guipavas, Brittany
- **Twitter:** @SenXHQ  
234 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3138a15b14940ea55cebf11ecab4ed0fab78434faebede3982ed03b26971da8b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F12632019&secure%5Burl_type%5D=linkedin_company_website)  
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?

**["Best in providing analytics solutions"](https://www.g2.com/survey_responses/warp-10-review-8364698)**

**Rating:** 5.0/5.0 stars

_— Shweta R._

[Read full review](https://www.g2.com/survey_responses/warp-10-review-8364698)

**["Simple to Use, Powerful Long-Term Data Collection and Assessment"](https://www.g2.com/survey_responses/warp-10-review-12650419)**

**Rating:** 4.5/5.0 stars

_— Joseph P._

[Read full review](https://www.g2.com/survey_responses/warp-10-review-12650419)

#### What Are G2 Users Discussing About Warp 10?

- [What is Warp 10 used for?](https://www.g2.com/discussions/what-is-warp-10-used-for)

### [Druid](https://www.g2.com/products/druid/reviews)

Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics solution for real-time data. It includes stream and batch ingestion, column-oriented storage, time-optimized partitioning, native OLAP and search indexing, SQL and REST support, flexible schemas; all with true horizontal scalability on a shared nothing, cloud native architecture that makes it easy to deploy, monitor and manage at scale. It is downloadable for free for unlimited use from druid.apache.org and also hosted in the cloud by Imply Data.

**Average Rating:** 4.3/5.0

**Total Reviews:** 28

#### How Do G2 Users Rate Druid?

- **Has the product been a good partner in doing business?:** 7.7/10 (Category avg: 9.0/10)
- **Ease of Admin:** 6.4/10 (Category avg: 8.3/10)
- **Quality of Support:** 7.9/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Druid?

- **Seller:** [Druid](https://www.g2.com/sellers/druid)
- **Year Founded:** 1998
- **HQ Location:** Rio de Janeiro, Rio de Janeiro
- **Twitter:** @druid  
4 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=762de89a15311d70f5702f6fd40889feb830cb992d69ed26d262994ebe2bcd2a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdruid_2%2F&secure%5Burl_type%5D=linkedin_company_website)  
89 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 52% Large, 29% Medium

#### What Are Recent G2 Reviews of Druid?

**["Druid, Kafka and your favourite Dashboard"](https://www.g2.com/survey_responses/druid-review-4549014)**

**Rating:** 4.0/5.0 stars

_— Shashank N._

[Read full review](https://www.g2.com/survey_responses/druid-review-4549014)

**["Open-Source distributed OLAP datastore"](https://www.g2.com/survey_responses/druid-review-4798040)**

**Rating:** 4.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/druid-review-4798040)

#### What Are G2 Users Discussing About Druid?

- [What is Druid used for?](https://www.g2.com/discussions/what-is-druid-used-for)
- [What is Druid's current status in the Apache Software Foundation?](https://www.g2.com/discussions/what-is-druid-s-current-status-in-the-apache-software-foundation)
- [What is Druid cluster?](https://www.g2.com/discussions/what-is-druid-cluster)
- [What is Druid io?](https://www.g2.com/discussions/what-is-druid-io)
- [Is Druid free?](https://www.g2.com/discussions/is-druid-free)

### [Trendalyze](https://www.g2.com/products/trendalyze/reviews)

Trendalyze is a platform for discovering, predicting, and monitoring patterns in granular time series data collected by sensors, IoT devices, machines, transactional and event log systems. Our self-service platform empowers all information workers to discover and monitor meaningful patterns as easily as it is to search and monitor for web content on Google. It also empower business users and analysts to discover, analyze and predict patterns in IoT and other transactional data as easily as it is for them to analyze business data in Excel. Trendalyze has pioneered patent-pending Logical Neural Networks that learn from small data sets, are 100% explainable, and can be configured by business professionals.

**Average Rating:** 4.6/5.0

**Total Reviews:** 12

#### How Do G2 Users Rate Trendalyze?

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.0/10)
- **Ease of Admin:** 8.1/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.5/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Trendalyze?

- **Seller:** [Trendalyze](https://www.g2.com/sellers/trendalyze)
- **Year Founded:** 2016
- **HQ Location:** USA, Newark
- **Twitter:** @trendalyze  
114 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9386f53d75f25f5a5ccedce470df842a666327d2aa10d8656f5988a2ba2813bf&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F9487986%2F&secure%5Burl_type%5D=linkedin_company_website)  
4 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 37% Large, 37% Small

#### What Are Recent G2 Reviews of Trendalyze?

**["Great Analytics Product"](https://www.g2.com/survey_responses/trendalyze-review-2811873)**

**Rating:** 5.0/5.0 stars

_— Atanas P._

[Read full review](https://www.g2.com/survey_responses/trendalyze-review-2811873)

**["Very powerful Data Analytics Tool"](https://www.g2.com/survey_responses/trendalyze-review-3617983)**

**Rating:** 4.0/5.0 stars

_— Verified User in Research_

[Read full review](https://www.g2.com/survey_responses/trendalyze-review-3617983)

#### What Are G2 Users Discussing About Trendalyze?

- [What is Trendalyze used for?](https://www.g2.com/discussions/what-is-trendalyze-used-for)

### [GridDB](https://www.g2.com/products/griddb/reviews)

GridDB is a database that offers both speed and scaling for mission critical big-data applications.

**Average Rating:** 4.5/5.0

**Total Reviews:** 27

#### How Do G2 Users Rate GridDB?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10)
- **Ease of Admin:** 10.0/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.8/10 (Category avg: 8.8/10)

#### Who Is the Company Behind GridDB?

- **Seller:** [Toshiba](https://www.g2.com/sellers/toshiba)
- **Year Founded:** 2016
- **HQ Location:** N/A
- **Twitter:** @griddb  
9 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c945efebc8a884ac3d9bf549459795a59d561025f63ef8d08d4d5dd68ec78827&secure%5Burl%5D=http%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fgriddb&secure%5Burl_type%5D=linkedin_company_website)  
2 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 74% Medium, 15% Large

#### What Are Recent G2 Reviews of GridDB?

**["Exquisite software to perform database mirroring and log shippings"](https://www.g2.com/survey_responses/griddb-review-9339317)**

**Rating:** 5.0/5.0 stars

_— Harry B._

[Read full review](https://www.g2.com/survey_responses/griddb-review-9339317)

**["Versatile Database"](https://www.g2.com/survey_responses/griddb-review-8278247)**

**Rating:** 4.5/5.0 stars

_— Kaustubh Y._

[Read full review](https://www.g2.com/survey_responses/griddb-review-8278247)

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 ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry")
BB

Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)

Updated October 8, 2024

Time series databases allow businesses to store time-stamped data. A company may adopt a time series database if they need to monitor data in real time or if they are running applications that continuously produce data. Some examples of applications that product time series data include network or [application performance monitoring (APM) software](https://g2.com/categories/application-performance-monitoring-apm) tools, sensor data from IoT devices, financial market data, and a number of security applications, among many others. Time series databases are optimized for storing this data so that it can be easily pulled and analyzed. Time series data is often used when running predictive analytics or machine learning algorithms, enabling users to understand historical data to help predict future outcomes. Some [big data processing and distribution software](https://g2.com/categories/big-data-processing-and-distribution) may provide time series storage functionality.

To qualify for inclusion in the Time Series Databases category, a product must:

- Store data based on timestamps
- Consume data in real time
- Allow users to easily pull the data for time series analysis

Show More

* * *

## How Do You Choose the Right Time Series Databases?

### What You Should Know About Time Series Databases Software

### What are Time Series Databases Software?

The growing number of different data types leads to the proliferation of different types of databases to facilitate its storage and analysis. Among the fast-growing data types is time series data—data which is timestamped and created over time—which is on the rise with the growth of the internet of things (IoT). Although it is frequently possible to store this data in other types of data stores, time series data has special properties—the data is append-only, making it worthwhile to consider a made-to-order database solution. The first challenge for selecting a database is finding the best structure for the data to be stored. In certain cases there is a natural fit—for example, airline flight information fits very well in a graph database as this mimics real-life patterns—while long-form web content usually slots into document databases.

With time series databases software, users are able to store any data that has a timestamp, such as log data, sensor data, and industrial telemetry data. The use cases are manifold. For example, application developers use this software for the purpose of application monitoring to collect data points in real time and better understand application performance. In addition, IoT developers benefit from time series databases as they store and process sensor data, such as smart home devices, to determine how they are performing over time.

Key Benefits of Time Series Databases Software

- Provide scale and speed, with faster processing time than relational databases
- Offer a tool which is specifically geared toward time series data
- Allow for structured, organized data storage and management

### Why Use Time Series Databases Software?

Like other databases, time series databases are primarily maintained by a database administrator or team. Owing to its wide range of coverage, time series databases are also accessible by several organizations within a company. Departments such as development, IT, billing, and others may also have access to time series databases, pending their assigned uses within the company.

**Predict future —** Make informed predictions about future events, observe real-time changes, and capture historical anomalies.

**Understand past —** Understand past data with a purpose-built database.

### Who Uses Time Series Databases Software?

Time series databases software is highly flexible and is used by diverse teams throughout a company, making it particularly beneficial. For collecting extra large data sets in real time, big data processing and distribution systems are helpful. These tools are built to scale for businesses that are constantly collecting enormous amounts of data. Pulling data sets may be more challenging with big data processing and distribution systems, but the insights received is valuable due to the granularity of the data.

**Database administrators —** Time series databases have grown in popularity since they are easier to implement, have greater flexibility, and tend to have faster data retrieval times. Database administrators use these tools to maintain and manage their time series data, ensuring it is properly stored.

**Data scientists —** As data science, including artificial intelligence, is fueled by data, it is key that this data is stored in the most effective and efficient manner. This ensures that the data can be queried and analyzed properly.

### Kinds of Time Series Database Software

Although all time series databases store timestamped data, they differ in the manner in which this data is stored, the relation between the various data points, and the method in which the data is queried.

**Relational databases —** Relational databases are traditional database tools used to align information into rows and columns. The structure allows for easy querying using SQL. Relational databases are used to store both simple information, such as identities and contact information, and complex information critical to business operations. They are highly scalable and can be stored on-premises, in the cloud, or through hybrid systems.

**NoSQL databases —** NoSQL databases such as graph databases are a great option for unstructured data. If the user needs to render a value that is easily found by its key, then a key-value store is the fastest and most scalable. The drawback is a much more limited querying ability, implying its limitations for analytic data. Conversely, rendering a user’s email address based on the username or caching web data is a simple and fast solution in a key-value store.

### Time Series Databases Software Features

Time series databases, designed specifically for time series data, provide the user with the features they need to successfully store, process, and analyze this data.

**Querying using time—** Time series databases allow users to query data using time, allowing them to search or analyze the data across a given time period, even by a fraction of a second.

**Data security —** Time series database solutions include data security features to protect the data stored by a business in its databases.

**Database creation and maintenance —** Time series databases software allows users to quickly create brand-new relational databases and modify them with ease.

**Scalability —** Times series database solutions grow with the data and is hence scalable, with the only pain point being physical or cloud storage capacity.

**Operating system (OS) compatibility —** Relational database solutions are compatible with numerous OS.

**Recovery —** Whether a database needs to be rolled back or outrightly recovered, some time series database solutions offer recovery features in the event any errors occur.

### Trends Related to Time Series Databases Software

**Databases and data aggregation —** Debate continues on the use of relational databases versus NoSQL databases, as data aggregation continues to rise among businesses. Organizations need to determine the best way to store their data as data-driven products and services require immense data backing. In reality, the two database types should be used together. While relational databases excel in structured data storage, NoSQL databases (non-relational databases) shine when there’s no real structure to how data should be collected and stored. Both relational and non-relational databases scale quite easily, given the right software supporting them. This shouldn’t be a "this versus that" debate, but a "this and that" collaboration.

**Big data —** Data has become the backbone of conducting business in the information age. As data drives business decisions and trends, it’s important that the data be digestible, easy to follow, and easy to reference. That’s why big data software mostly falls back on relational database solutions. Designed with strict organization, referencing, and referral in mind, relational databases absorb and store massive amounts of data to be later digested in the decision-making process.

### Potential Issues with Time Series Databases Software

**Unstructured data —** Time series databases struggle when handling unstructured data. Time series databases hinge on data being structured to properly create relationships between data points and data tables. If a company uses mostly unstructured data, they should consider a NoSQL database solution or data quality software to clean and structure unstructured data.

**Query lag —** Time series databases store massive quantities of data, but with that advantage, such database tools run queries slowly on larger data sets. This is mainly due to the sheer volume of data being queried. In situations where queries might traverse significant quantities of data, they should be based on specific values whenever possible. Also, querying strings takes significantly longer than querying numerics, so focusing on the latter may help improve search times.

### Software and Services Related to Time Series Databases Software

Finding the right database solution involves finding a tool that best fits a particular use case, including the type of data involved and the type of analysis that needs to be done with that data. The format of the data also determines the right database solution for a given company.

**Time series intelligence software —** Users focusing on analyzing, as opposed to just storing time series data, may leverage [time series intelligence software](https://www.g2.com/categories/time-series-intelligence). By utilizing embedded machine learning, time series intelligence tools pull out previously hidden insights—such as microtrends and anomalies—without requiring a human to dig through the data manually, saving a business time and resources.

**NoSQL databases —** While relational databases solutions excel with structured data, [NoSQL databases](https://www.g2.com/categories/nosql-databases) more effectively store loosely structured and unstructured data. NoSQL databases solutions pair well with [relational databases](https://www.g2.com/categories/relational-databases) if a company deals with diverse data that can be collected by both structured and unstructured means.

**Relational databases —** [Relational databases](https://www.g2.com/categories/relational-databases) are helpful in creating scalable repositories for business information. They are also quality tools for back-end application support. They may be synced to applications to make data available to end users.

**Data quality software —** Relational databases struggle with handling unstructured data, and duplicate or incorrect data may throw off the accuracy of results once data becomes structured. [Data quality software](https://www.g2.com/categories/data-quality) helps clean and structure data, which makes it easier to create a formal relational database for that data.