# Best Time Series Databases for Medium-Sized Businesses *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)* Products classified in the overall Time Series Databases category are similar in many regards and help companies of all sizes solve their business problems. However, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized Business Time Series Databases to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Medium-Sized Business Time Series Databases category. In addition to qualifying for inclusion in the Time Series Databases category, to qualify for inclusion in the Medium-Sized Business Time Series Databases category, a product must have at least 10 reviews left by a reviewer from a medium-sized business. ## How Many Time Series Databases Products Does G2 Track? **Total Products under this Category:** 52 ### Category Stats (Jun 2026) - **Average Rating**: 4.46/5 The average rating of products in this category, based on all submitted ratings *Last updated: June 24, 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. --- **Sponsored** ### RaimaDB RaimaDB: The High-Performance Embedded Database for Edge and IoT Systems RaimaDB is a high-performance, small-footprint database designed for edge computing, IoT, and embedded systems. Built on over three decades of database innovation, RaimaDB provides a powerful, reliable, and resource-efficient solution for developers building applications where data integrity, speed, and local storage are critical. Unlike large-scale enterprise databases, RaimaDB is purpose-built for environments with limited memory and processing power—such as industrial controllers, automotive systems, medical devices, and network appliances. Its lightweight architecture allows for fast transactions, deterministic performance, and minimal overhead, making it ideal for real-time applications. RaimaDB supports both SQL and C/C++ APIs, giving developers flexibility in how they access and manage data. It’s fully ACID-compliant, ensuring data reliability even in harsh or disconnected environments. With advanced features like in-memory performance, high availability, and flexible replication, RaimaDB enables secure local data processing while still integrating seamlessly with cloud or enterprise systems when connectivity is restored. The database can be deployed on a wide range of operating systems, including Linux, embedded Linux, Windows, QNX, and VxWorks, and can run on both ARM and x86 architectures. Its modular design allows for efficient scaling—from compact single-board computers to complex distributed networks. Trusted by global leaders in industries such as automotive, aerospace, energy, and telecommunications, RaimaDB powers mission-critical systems that demand reliability and speed. Developers choose RaimaDB for its ease of integration, low maintenance requirements, and proven performance under demanding conditions. Whether you’re building the next generation of connected devices or optimizing data handling at the edge, RaimaDB provides the robust foundation you need. Experience the efficiency of a database built for embedded and real-time systems—fast, reliable, and ready for the future of intelligent data management. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1761&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=6173&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%2Fmid-market&secure%5Btoken%5D=774336970230b894e2091aa7e3955ba2f318667b385dc3f1ef4377cd147d3cbb&secure%5Burl%5D=https%3A%2F%2Fraima.com%2Fdownload-trial%2F%3Futm_content%3Dproducts-raimadb-reviews%26utm_medium%3Dreferral%26utm_source%3Dg2&secure%5Burl_type%5D=free_trial) --- ## What Are the Top-Rated Time Series Databases Products in 2026? ### 1. [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:** https://www.linkedin.com/company/5159145/ (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-Business, 23% Mid-Market #### What Are Recent G2 Reviews of InfluxDB? **"[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) --- **"[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) --- #### 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 ### 2. [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:** https://www.linkedin.com/company/dataparc-solutions/ (113 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Paper & Forest Products - **Company Size:** 62% Mid-Market, 31% Enterprise #### What Are dataPARC's Pros and Cons? **Pros:** - Customizability (2 reviews) - Data Analysis (2 reviews) - Data Visualization (2 reviews) - Ease of Use (2 reviews) - Features (2 reviews) **Cons:** - Complex Usability (1 reviews) - Data Management Issues (1 reviews) - Difficult Learning (1 reviews) - Learning Curve (1 reviews) - Required Expertise (1 reviews) ### What Do G2 Reviewers Say About dataPARC? *AI-generated summary from verified user reviews* **Pros:** - Users value the **customizability** of dataPARC, allowing personalized displays tailored to their specific needs. - Users value the **speed and extensive data capabilities** of dataPARC, enhancing their monitoring and analysis tasks. - Users value the **intuitive data visualization** features of dataPARC, greatly enhancing their efficiency in monitoring operations. - Users appreciate the **ease of use** of dataPARC, finding it intuitive and easy to navigate without extensive training. - Users appreciate the **personalized displays and user-friendly software** , catering to both novices and experienced users effectively. **Cons:** - Users find the **complex usability** of dataPARC challenging due to the lack of clear examples and documentation for beginners. - Users feel that **data management resources** lack depth, making it hard for beginners to effectively utilize DataParc. - Users find the **difficult learning curve** of dataPARC due to insufficient examples and complex VB explanations frustrating. - Users face a steep **learning curve** with dataPARC due to limited guidance on VB language and command usage. - Users feel a lack of **required expertise** is an obstacle, especially for those new to VB programming with dataPARC. #### What Are Recent G2 Reviews of dataPARC? **"[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) --- **"[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) --- #### What Are G2 Users Discussing About dataPARC? - [What is dataPARC used for?](https://www.g2.com/discussions/what-is-dataparc-used-for) - 1 comment ### 3. [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:** https://epsilon3.io - **Year Founded:** 2021 - **HQ Location:** Los Angeles, California - **Twitter:** @Epsilon3Inc (1,068 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/epsilon3inc (33 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Customer Service Representative - **Top Industries:** Aviation & Aerospace, Financial Services - **Company Size:** 43% Mid-Market, 40% Enterprise #### What Are Epsilon3's Pros and Cons? **Pros:** - Ease of Use (80 reviews) - Procedure Management (42 reviews) - Features (30 reviews) - Efficiency (27 reviews) - Efficiency Improvement (24 reviews) **Cons:** - Learning Curve (35 reviews) - Complexity (33 reviews) - Confusing Procedures (29 reviews) - Complex Procedures (27 reviews) - Confusion (24 reviews) ### What Do G2 Reviewers Say About Epsilon3? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of Epsilon3, finding it intuitive and efficient for task management. - Users value the **centralized location for procedures** in Epsilon3, enhancing collaboration and efficiency across teams. - Users appreciate the **simple and intuitive interface** of Epsilon3, enhancing procedure creation in complex environments. - Users appreciate the **efficiency** of Epsilon3, streamlining operations and enhancing team collaboration during complex projects. - Users value the **efficiency improvements** of Epsilon3, finding it a time-saver that enhances their workflow significantly. **Cons:** - Users find the **learning curve steep** , making it challenging to navigate and create effective procedures in Epsilon3. - Users find Epsilon3's **complexity** challenging, requiring significant experience and time for effective procedure management. - Users find the **confusing procedures** challenging, particularly when navigating outdated information and complex steps. - Users find the **complex procedures** challenging, requiring significant experience and causing initial confusion with the interface. - Users find Epsilon3's **confusing interface** challenging, especially for newcomers navigating its features and procedures. #### 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) --- ### 4. [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:** https://www.linkedin.com/company/prometheusgroup/ (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% Mid-Market, 32% Small-Business #### What Are Prometheus's Pros and Cons? **Pros:** - Easy Integrations (7 reviews) - Integrations (6 reviews) - Alerting System (5 reviews) - Monitoring (4 reviews) - Real-time Monitoring (4 reviews) **Cons:** - Learning Curve (4 reviews) - Difficult Learning (2 reviews) - Difficult Installation (1 reviews) - Graph Visualization (1 reviews) - Ineffective Alerts (1 reviews) ### What Do G2 Reviewers Say About Prometheus? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **easy integrations** with various systems, enhancing their monitoring and application management experience. - Users love the **easy integration** of Prometheus with tools like Grafana and messaging platforms like Slack. - Users appreciate the **powerful alerting system** of Prometheus, enabling effective real-time monitoring and management of metrics. - Users appreciate the **real-time monitoring and seamless integration** of Prometheus, enhancing their cloud-native experience. - Users value the **real-time monitoring** capabilities of Prometheus, praising its efficiency and seamless integration with tools like Grafana. **Cons:** - Users find the **learning curve challenging** , particularly with mastering PromQL and managing complex metric data. - Users face a **difficult learning curve** with Prometheus, particularly in mastering PromQL and managing complex metrics. - Users find the **difficult installation** of Prometheus challenging, particularly for those without technical skills. - Users find it challenging to interpret data due to **limited graph visualization** capabilities without Grafana integration. - Users find that the **ineffective alerts** require manual adjustments, making the alerting process cumbersome and less efficient. #### 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) ### 5. [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:** https://cratedb.com/ - **Year Founded:** 2013 - **HQ Location:** Redwood City, CA - **Twitter:** @cratedb (4,176 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/crateio/ (44 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, Data Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 54% Small-Business, 31% Mid-Market #### What Are CrateDB's Pros and Cons? **Pros:** - Ease of Use (12 reviews) - SQL Usage (11 reviews) - Easy Integrations (10 reviews) - Flexibility (10 reviews) - Features (9 reviews) **Cons:** - Lack of Features (5 reviews) - Software Limitations (4 reviews) - Limited Features (3 reviews) - Poor Documentation (3 reviews) - Complex Configuration (2 reviews) ### 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 intuitive SQL querying and seamless setup for data projects. - Users appreciate the **fast and native SQL interface** of CrateDB, enabling quick queries on structured and semi-structured data. - Users appreciate the **easy integrations** of CrateDB, facilitating swift deployment and efficient handling of diverse data types. - Users value the **flexibility** of CrateDB, enjoying its support for various data types and deployment options. - Users value the **versatile data support** of CrateDB, enabling seamless access and analysis of diverse data types. **Cons:** - Users note the **lack of features** in CrateDB, especially regarding comparative information and advanced tools. - Users note **software limitations** , particularly in connector options, SQL capabilities, and support for ORMs and security features. - Users are concerned about **limited features** in CrateDB, including insufficient connectors and lack of advanced SQL functions. - Users find the **poor documentation** of CrateDB lacking in details for custom configurations and integrations. - Users find **complex configuration** challenges with CrateDB, particularly in Kubernetes setups and sharding control. #### What Are Recent G2 Reviews of CrateDB? **"[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) --- **"[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) --- ### 6. [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:** 20 **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:** 8.1/10 (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:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 45% Mid-Market, 32% Small-Business #### What Are Amazon Timestream's Pros and Cons? **Pros:** - Reliability (1 reviews) ### What Do G2 Reviewers Say About Amazon Timestream? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **reliability** of Amazon Timestream, noting its consistent 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) --- **"[Very interactive](https://www.g2.com/survey_responses/amazon-timestream-review-6896911)"** **Rating:** 5.0/5.0 stars *— prajval V.* [Read full review](https://www.g2.com/survey_responses/amazon-timestream-review-6896911) --- ### 7. [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:** https://www.linkedin.com/company/2696852/ (306 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer - **Top Industries:** Marketing and Advertising, Information Technology and Services - **Company Size:** 45% Mid-Market, 34% Enterprise #### What Are Recent G2 Reviews of Aerospike? **"[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) --- **"[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) --- #### 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) ### 8. [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:** http://www.linkedin.com/company/griddb (2 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 74% Mid-Market, 15% Enterprise #### What Are Recent G2 Reviews of GridDB? **"[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) --- **"[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) --- ## What Is Time Series Databases? [Database Software](https://www.g2.com/categories/database-software) ## What Software Categories Are Similar to Time Series Databases? - [Relational Databases](https://www.g2.com/categories/relational-databases) - [Document Databases](https://www.g2.com/categories/document-databases) - [Database as a Service (DBaaS) Providers](https://www.g2.com/categories/database-as-a-service-dbaas) - [Time Series Intelligence Software](https://www.g2.com/categories/time-series-intelligence) - [Columnar Databases](https://www.g2.com/categories/columnar-databases) - [Vector Database Software](https://www.g2.com/categories/vector-database) - [Real-time Analytic Database Software](https://www.g2.com/categories/real-time-analytic-database) --- ## 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.