# Best Time Series Intelligence Software

  *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)*

   Time series intelligence software, also known as time series analytics software, offers a way to analyze and extract significant business insights and trends from time series data. Time series intelligence tools allow users to identify patterns within massive, continuous time series data sets to perform reporting, forecasting, and predictive analysis. These solutions provide data visualization capabilities that help users understand the complex data.

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. Time series intelligence software is most often leveraged by data scientists, data analysts, or other members of IT departments, but can be used by the average business user as well.

These solutions differ from [business intelligence platforms](https://www.g2.com/categories/business-intelligence-platforms) and [big data analytics software](https://www.g2.com/categories/big-data-analytics) in the sense that they pull data from a [time series databases](https://www.g2.com/categories/time-series-databases) to perform the specific function of time series analysis. Time series intelligence tools may overlap with certain [IoT analytics software](https://www.g2.com/categories/iot-analytics) , due to those tools consuming time series data from IoT sensors.

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

- Ingest and consume time series data from time series databases
- Continuously monitor, and provide visualizations of, time series data
- Pull out trends, patterns, and insights from time series data via machine learning
- Allow users to explore, forecast, and predict future business outcomes based on the data





## Category Overview

**Total Products under this Category:** 43


## Trust & Credibility Stats

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 2,100+ Authentic Reviews
- 43+ 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.


## Best Time Series Intelligence Software At A Glance

- **Leader:** [Seeq](https://www.g2.com/products/seeq/reviews)
- **Highest Performer:** [dataPARC](https://www.g2.com/products/dataparc/reviews)
- **Easiest to Use:** [Nixtla](https://www.g2.com/products/nixtla/reviews)
- **Top Trending:** [Seeq](https://www.g2.com/products/seeq/reviews)
- **Best Free Software:** [Minitab Statistical Software](https://www.g2.com/products/minitab-statistical-software/reviews)


---

**Sponsored**

### Zoho Analytics

Zoho Analytics is a GenAI-powered self-service BI and analytics platform that helps businesses collect, prepare, analyze, and present insights from their data, all within minutes. Integrate with 500+ native data sources, like files, feeds, local and cloud databases, cloud storage, and popular business apps. Clean, transform, enrich, and catalog data with our agentic AI-powered, self-service data preparation and management capabilities. Create and manage complex ETL data pipelines using our visual pipeline builder, process stream data for real-time analytics, and set up a strong metrics layer for quality analysis and management. Zoho Analytics comes with 100+ domain-specific prebuilt reports and dashboards, pre-trained NLQ models, intelligently modeled and blended data across business applications, and lots more. Use our intuitive drag-and-drop visualization builder to build insightful and interactive reports and dashboards using a wide variety of visual components, like charts, widgets, pivot tables, tabular views and more. Generate customized reports and dashboards using simple, natural language with our AI-powered conversational agent, Zia. Ask Zia goes beyond basic reporting; it enables users to perform diagnostic analytics, forecast key metrics, and receive intelligent insights and recommendations. Users can assign tasks and trigger actions just by conversing with our agentic AI, Zia, streamlining their workflows and empowering data-driven decisions. Seamlessly embed Ask Zia into your custom or business applications to deliver contextual insights and actions. Enrich your analysis with automated insights by using our NLG-powered narration engine, Zia Insights. With diagnostic analytics for smarter decision-making, Zia Insights takes automated insights to the next level by bubbling up key drivers for particular business tasks. Enumerate complex business scenarios with what-if analyses, forecast KPIs, uncover trends and patterns with advanced analytical capabilities. Leverage cognitive analysis for keyword extraction and sentiment analysis, and more. Evaluate the best ML models with no-code assistance or develop custom models and functions using Python Code Studio. Zoho Analytics comes with pre-packed ML models (AutoML) that allow you to evaluate and pick the best model for your use case. Alternatively custom models and functions using Python Code Studio Embed our full-fledged analytics platform into other software applications. Craft and present immersive data stories through slideshows or purpose-built analytics portals. Collaborate securely through contextual comment threads and real-time messaging. Zoho Analytics has a robust set of APIs that enables elaborate customization and highly extensible low-code and no-code integration with any technology stack. It also offers a high degree of deployment flexibility (private, public, multi-cloud, and on-premises) and platform extensibility (professional services, partner support, and marketplace). Zoho Analytics is modern and scalable, and it can readily match growing data volumes and usage. Its time-tested and accredited enterprise-grade security features and governance framework ensure continuous data management and stewardship. On top of everything else, the TCO for Zoho Analytics—including licensing, implementation, customization, training, and support—is the lowest in our market.



[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=1982&secure%5Bdisplayable_resource_id%5D=620&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=neighbor_category&secure%5Bplacement_resource_ids%5D%5B%5D=499&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=3431&secure%5Bresource_id%5D=1982&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Ftime-series-intelligence&secure%5Btoken%5D=797e49fc2ad5345bea64337724cfe11b6bdd9f1c3f64505ba137fcb01cffd2ec&secure%5Burl%5D=https%3A%2F%2Fwww.zoho.com%2Fanalytics%2F%3Futm_source%3DG2%26utm_medium%3Dcpc%26utm_campaign%3DAnalytics_Platforms&secure%5Burl_type%5D=custom_url&secure%5Bvisitor_segment%5D=180)

---

## Top-Rated Products (Ranked by G2 Score)
### 1. [Seeq](https://www.g2.com/products/seeq/reviews)
  Seeq is the only enterprise SaaS platform that is purpose-built for time series data, and is trusted by the most recognizable names in oil & gas, pharmaceuticals, specialty chemicals, utilities, renewable energy, and numerous other vertical industries. Seeq accelerates digital transformation efforts and ROI impact by providing live connectivity to hundreds of data sources, and empowering more people across the organization to leverage a broad range of AI capabilities including advanced analytics, machine learning, and generative AI (GenAI).


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 145

**User Satisfaction Scores:**

- **Ease of Setup:** 8.1/10 (Category avg: 8.5/10)
- **Ease of Admin:** 8.5/10 (Category avg: 8.5/10)
- **Quality of Support:** 9.2/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Seeq Corporation](https://www.g2.com/sellers/seeq-corporation)
- **Company Website:** https://www.seeq.com
- **Year Founded:** 2013
- **HQ Location:** Seattle, Washington
- **Twitter:** @SeeqCorporation (954 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3126445/ (282 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Process Engineer
  - **Top Industries:** Oil & Energy, Chemicals
  - **Company Size:** 58% Enterprise, 32% Mid-Market


#### Pros & Cons

**Pros:**

- Data Analysis (42 reviews)
- Ease of Use (37 reviews)
- Features (27 reviews)
- Analysis Capabilities (22 reviews)
- Data Visualization (16 reviews)

**Cons:**

- Complex Usability (26 reviews)
- Difficult Learning (18 reviews)
- Learning Curve (12 reviews)
- Learning Difficulty (9 reviews)
- Complexity (8 reviews)

### 2. [Nixtla](https://www.g2.com/products/nixtla/reviews)
  TimeGPT is a cutting-edge foundation model specifically designed for time series forecasting and anomaly detection. This innovative solution empowers users to harness the full potential of their time series data, enabling more informed decision-making across various domains. With its advanced capabilities, TimeGPT stands out as a pivotal tool for organizations looking to optimize their data-driven strategies. Targeted at data scientists, analysts, and business decision-makers, TimeGPT caters to a wide range of industries, including finance, energy, and meteorology. Its ability to process and analyze vast amounts of time series data makes it an invaluable resource for those seeking to improve operational efficiency, enhance predictive accuracy, and identify unusual patterns that may indicate underlying issues. Whether it’s forecasting stock prices, predicting energy consumption, or analyzing weather trends, TimeGPT provides the necessary tools to tackle complex time series challenges. One of the key features of TimeGPT is its zero-shot inference capability, which allows users to generate forecasts and detect anomalies without the need for prior training data. This feature significantly reduces the time and resources typically required for model training, enabling users to quickly gain insights from their data. Additionally, TimeGPT has been extensively trained on over 100 billion time series data points, ensuring that it can deliver reliable and accurate predictions across various contexts. TimeGPT also offers fine-tuning options, allowing users to adapt the model to their specific datasets. This flexibility ensures that organizations can tailor the model to their unique time series characteristics, enhancing its predictive performance. Furthermore, the model supports the integration of exogenous variables, which can improve forecast accuracy by accounting for external factors that may influence the data. With robust API access, TimeGPT can be seamlessly integrated into existing applications, making it easy for organizations to leverage its capabilities. It is also compatible with Azure Studio and can be deployed on private infrastructure, providing users with the flexibility to choose the deployment method that best suits their needs. The ability to forecast multiple time series simultaneously further optimizes workflows, allowing organizations to manage resources effectively while enhancing their analytical capabilities. In addition to its forecasting prowess, TimeGPT excels in anomaly detection, automatically identifying unusual patterns in time series data. This feature is particularly beneficial for organizations that need to monitor systems in real-time and respond swiftly to potential issues. By incorporating exogenous features, users can further enhance the model's performance, ensuring that they are equipped to handle the complexities of their time series data.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 49

**User Satisfaction Scores:**

- **Ease of Setup:** 9.2/10 (Category avg: 8.5/10)
- **Ease of Admin:** 9.5/10 (Category avg: 8.5/10)
- **Quality of Support:** 9.3/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Nixtla](https://www.g2.com/sellers/nixtla)
- **Company Website:** https://www.nixtla.io/
- **Year Founded:** 2021
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** https://www.linkedin.com/company/nixtlainc (26 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Scientist
  - **Top Industries:** Computer Software, Retail
  - **Company Size:** 45% Enterprise, 37% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (31 reviews)
- Easy Integrations (16 reviews)
- Customer Support (15 reviews)
- Machine Learning (13 reviews)
- Implementation Ease (12 reviews)

**Cons:**

- Missing Features (7 reviews)
- Expensive (6 reviews)
- Lack of Guidance (5 reviews)
- Limited Features (5 reviews)
- Learning Curve (3 reviews)

### 3. [Amazon Forecast](https://www.g2.com/products/amazon-forecast/reviews)
  Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 100

**User Satisfaction Scores:**

- **Ease of Setup:** 8.2/10 (Category avg: 8.5/10)
- **Ease of Admin:** 7.9/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.8/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.8/10)


**Seller Details:**

- **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 (2,223,984 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 50% Small-Business, 36% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (14 reviews)
- Forecasting Accuracy (13 reviews)
- Accuracy (11 reviews)
- Machine Learning (10 reviews)
- Quality (7 reviews)

**Cons:**

- Expensive (11 reviews)
- Complexity (9 reviews)
- Learning Curve (6 reviews)
- Cost Issues (5 reviews)
- Large Dataset Handling (5 reviews)

### 4. [TrendMiner](https://www.g2.com/products/trendminer/reviews)
  TrendMiner offers a fast, powerful, and intuitive industrial analytics & AI software platform. With a focus on highly digitized manufacturing industries, energy companies, and organizations with operations that need to maintain controlled environments. TrendMiner combines self-service, low-code data analysis for time series and event data with sophisticated machine learning (ML) and Agentic AI tools to deliver industrial data visualization, monitoring, and predictive capabilities. TrendMiner, a Vercore company, was founded in 2008 with a global headquarters located in Belgium, and offices in the U.S., Germany, Spain, and the Netherlands. TrendMiner has strategic partnerships with Amazon, Microsoft, SAP, GE Digital, Siemens, and Aveva, and offers standard integrations with a wide range of data platforms such as AVEVA PI, Yokogawa Exaquantum, AspenTech IP.21, Honeywell PHD, GE Proficy Historian, Canary, and Aveva Historian.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 178

**User Satisfaction Scores:**

- **Ease of Setup:** 8.4/10 (Category avg: 8.5/10)
- **Ease of Admin:** 8.5/10 (Category avg: 8.5/10)
- **Quality of Support:** 9.2/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [TrendMiner](https://www.g2.com/sellers/trendminer)
- **Company Website:** https://www.trendminer.com/
- **Year Founded:** 2008
- **HQ Location:** Hasselt, Flemish Region
- **Twitter:** @TrendMining (781 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/trendminer/ (91 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Process Analytics Engineer, Process Engineer
  - **Top Industries:** Chemicals, Oil & Energy
  - **Company Size:** 53% Enterprise, 35% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (25 reviews)
- Speed (12 reviews)
- Dashboard Trends (9 reviews)
- Data Analysis (9 reviews)
- Easy Learning (8 reviews)

**Cons:**

- Complex Usability (12 reviews)
- Difficult Learning (6 reviews)
- Learning Curve (5 reviews)
- Limited Accessibility (4 reviews)
- Complexity (3 reviews)

### 5. [Minitab Statistical Software](https://www.g2.com/products/minitab-statistical-software/reviews)
  Minitab® Statistical Software is a comprehensive data analysis solution designed to assist users in making informed, data-driven decisions through visualizations, statistical analysis, and predictive analytics. This software caters to a diverse audience, enabling individuals and organizations—regardless of their statistical expertise or geographical location—to harness the power of data analysis with user-friendly tools. The software is particularly beneficial for businesses and institutions seeking to identify trends, solve complex problems, and extract valuable insights from their data. With nearly 50 years of experience in the field, Minitab has established itself as a trusted partner for organizations of all sizes, including many of the top Fortune 500 companies. Its suite of tools, which includes Minitab Engage®, Minitab Workspace™, Minitab Connect®, Quality Trainer®, and Salford Predictive Modeler®, is designed to streamline the process of data analysis and process improvement across various industries. Key features of Minitab® Statistical Software include a wide range of statistical tests, graphical representations, and predictive modeling capabilities. Users can easily create visualizations that help to clarify complex data sets, making it simpler to identify patterns and trends. The software also offers robust statistical analysis tools that allow users to perform hypothesis testing, regression analysis, and control charts, among other functions. These features empower users to make faster and more accurate decisions, ultimately driving business excellence. Minitab stands out in its category due to its unparalleled ease of use, which allows users with varying levels of statistical knowledge to engage with the software effectively. The intuitive interface and comprehensive support resources ensure that users can quickly learn how to leverage the software’s capabilities to address their specific needs. By providing access to powerful analytics tools, Minitab enables organizations to foster a culture of data-driven decision-making, leading to improved operational efficiency and enhanced strategic planning. In summary, Minitab® Statistical Software is an essential tool for organizations looking to enhance their data analysis capabilities. By offering a suite of powerful features designed for users of all backgrounds, Minitab not only simplifies the process of data analysis but also empowers organizations to unlock the full potential of their data for informed decision-making.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 218

**User Satisfaction Scores:**

- **Ease of Setup:** 8.7/10 (Category avg: 8.5/10)
- **Ease of Admin:** 8.4/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.8/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Minitab](https://www.g2.com/sellers/minitab-14ca02fe-fdeb-44c4-b0db-904058d0221b)
- **Company Website:** https://www.minitab.com
- **Year Founded:** 1972
- **HQ Location:** State College, Pennsylvania, United States
- **Twitter:** @Minitab (5,025 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/39142/ (706 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Quality Manager
  - **Top Industries:** Automotive, Manufacturing
  - **Company Size:** 46% Enterprise, 32% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (63 reviews)
- Data Analysis (54 reviews)
- Statistical Analysis (39 reviews)
- Analysis (32 reviews)
- Analysis Capabilities (30 reviews)

**Cons:**

- Expensive (23 reviews)
- Learning Curve (22 reviews)
- Not User-Friendly (14 reviews)
- Complexity (13 reviews)
- Limited Features (11 reviews)

### 6. [Google Cloud Interference API](https://www.g2.com/products/google-cloud-interference-api/reviews)
  Quickly run large-scale correlations over typed time-series datasets.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 77

**User Satisfaction Scores:**

- **Ease of Setup:** 8.7/10 (Category avg: 8.5/10)
- **Ease of Admin:** 9.1/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.6/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google (31,885,216 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®)
- **Ownership:** NASDAQ:GOOG

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Education Management
  - **Company Size:** 53% Small-Business, 25% Enterprise


### 7. [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)
  SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learning and predictive tools grounded in modern data science. Its powerful in-memory performance safeguards efficient data processing. By securely storing vast amounts of data with its integrated multitier storage and handling various types on a single copy in its native multi-model database, SAP HANA Cloud simplifies data management and connects to other data sources. The seamless integration of these capabilities in a reliable, unified foundation makes it easier for developers to build high-demand intelligent data apps.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 509

**User Satisfaction Scores:**

- **Ease of Setup:** 7.8/10 (Category avg: 8.5/10)
- **Ease of Admin:** 7.9/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.2/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Company Website:** https://www.sap.com/
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP (297,227 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/sap/ (141,341 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Consultant, SAP Consultant
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 61% Enterprise, 26% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (55 reviews)
- Easy Integrations (41 reviews)
- Integrations (40 reviews)
- Speed (39 reviews)
- Scalability (35 reviews)

**Cons:**

- Complexity (33 reviews)
- Expensive (32 reviews)
- Learning Curve (30 reviews)
- Difficult Learning (28 reviews)
- Complex Setup (20 reviews)

### 8. [Azure Time Series Insights](https://www.g2.com/products/azure-time-series-insights/reviews)
  Azure Time Series Insights is a fully managed analytics, storage, and visualization service for managing IoT-scale time-series data in the cloud. It provides massively scalable time-series data storage and enables you to explore and analyze billions of events streaming in from all over the world in seconds.


  **Average Rating:** 4.1/5.0
  **Total Reviews:** 44

**User Satisfaction Scores:**

- **Ease of Setup:** 7.7/10 (Category avg: 8.5/10)
- **Ease of Admin:** 8.5/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.5/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,105,844 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®)
- **Ownership:** MSFT

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Financial Services
  - **Company Size:** 40% Small-Business, 33% Enterprise


### 9. [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

**User Satisfaction Scores:**

- **Ease of Setup:** 8.8/10 (Category avg: 8.5/10)
- **Ease of Admin:** 8.8/10 (Category avg: 8.5/10)
- **Quality of Support:** 9.6/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 8.8/10)


**Seller Details:**

- **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/ (115 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Paper & Forest Products
  - **Company Size:** 62% Mid-Market, 31% Enterprise


#### Pros & 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)

### 10. [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:** 97

**User Satisfaction Scores:**

- **Ease of Setup:** 8.8/10 (Category avg: 8.5/10)
- **Ease of Admin:** 8.7/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.6/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.8/10)


**Seller Details:**

- **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®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 60% Small-Business, 22% Mid-Market


### 11. [Umbrella](https://www.g2.com/products/umbrella-formerly-anodot-umbrella/reviews)
  Anodot’s augmented analytics platform is the next generation in business intelligence. Anodot proactively identifies revenue-critical business incidents, recommends actions, and automates the remediation process, in real time. Anodot’s patented technology goes beyond data visualization by constantly analyzing and correlating business metrics, alerts and forecasts in their context. Leveraging AI and ML, Anodot’s augmented analytics proactively alert companies to revenue-critical business incidents and automates their remediation in real-time. The company’s Cloud Costs solution provides accurate monitoring and forecasting as well as savings recommendations that cut up to 40% on annual cloud spend. Fortune 500 companies leverage Anodot for cloud cost management and Anodot for payment intelligence to help reduce cloud waste and protect revenue streams. Our team spans several continents, with headquarters in the U.S. and Israel, with business units dedicated to digital, financial services, and telecommunications. To learn more, visit www.anodot.com or check us out on LinkedIn and Twitter.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 36

**User Satisfaction Scores:**

- **Ease of Setup:** 8.4/10 (Category avg: 8.5/10)
- **Ease of Admin:** 8.6/10 (Category avg: 8.5/10)
- **Quality of Support:** 9.0/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Umbrella (formerly Anodot)](https://www.g2.com/sellers/umbrella-formerly-anodot)
- **Year Founded:** 2014
- **HQ Location:** Ashburn, Virginia
- **Twitter:** @TeamAnodot (1,143 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/5229141/ (68 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 44% Mid-Market, 31% Small-Business


#### Pros & Cons

**Pros:**

- Time-saving (3 reviews)
- Alerting System (2 reviews)
- Alerts (2 reviews)
- Helpful (2 reviews)
- Problem Solving (2 reviews)

**Cons:**

- Access Control (2 reviews)
- Complexity (2 reviews)
- Not Intuitive (2 reviews)
- Confusion (1 reviews)
- Difficult Learning (1 reviews)

### 12. [Clarify](https://www.g2.com/products/clarify/reviews)
  Clarify lets you and your team easily visualize, explore, and share knowledge around time-series data. Helping you turn data into actual value, every day. By visualizing your data in one intuitive and engaging interface, Clarify makes data available for everyone. Bring your team together to add context and share knowledge about what your data actually means for your day-to-day operations. So everyone can learn from each other and contribute to get a better overview in real-time.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 16

**User Satisfaction Scores:**

- **Ease of Setup:** 9.6/10 (Category avg: 8.5/10)
- **Ease of Admin:** 8.8/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.9/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Clarify](https://www.g2.com/sellers/clarify)
- **Year Founded:** 2003
- **HQ Location:** Trondheim, Norway
- **Twitter:** @ClarifyUK (450 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/8173 (196 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 56% Mid-Market, 22% Small-Business


### 13. [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

**User Satisfaction Scores:**

- **Ease of Setup:** 8.1/10 (Category avg: 8.5/10)
- **Ease of Admin:** 8.7/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.9/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Epsilon3](https://www.g2.com/sellers/epsilon3)
- **Company Website:** https://epsilon3.io
- **Year Founded:** 2021
- **HQ Location:** Los Angeles, California
- **Twitter:** @Epsilon3Inc (1,052 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/epsilon3inc (32 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Customer Service Representative
  - **Top Industries:** Aviation & Aerospace, Financial Services
  - **Company Size:** 43% Mid-Market, 40% Enterprise


#### Pros & 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)

### 14. [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

**User Satisfaction Scores:**

- **Ease of Setup:** 8.5/10 (Category avg: 8.5/10)
- **Ease of Admin:** 8.9/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.7/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [KX](https://www.g2.com/sellers/kx-a145756d-91d3-463e-a51d-9e13b1ac577c)
- **Year Founded:** 1996
- **HQ Location:** NY, USA
- **Twitter:** @kxsystems (4,169 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/kx-systems (527 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Financial Services, Banking
  - **Company Size:** 57% Enterprise, 25% Small-Business


#### Pros & Cons

**Pros:**

- Speed (11 reviews)
- Performance (9 reviews)
- Tool Power (7 reviews)
- Efficiency (6 reviews)
- Fast Processing (6 reviews)

**Cons:**

- Learning Curve (12 reviews)
- Difficult Learning (7 reviews)
- Steep Learning Curve (7 reviews)
- Complexity (2 reviews)
- Expensive (2 reviews)

### 15. [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

**User Satisfaction Scores:**

- **Ease of Setup:** 8.3/10 (Category avg: 8.5/10)
- **Ease of Admin:** 8.1/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.8/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [SenX](https://www.g2.com/sellers/senx)
- **HQ Location:** Guipavas, Brittany
- **Twitter:** @SenXHQ (234 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/12632019 (13 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 50% Small-Business, 31% Mid-Market


### 16. [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

**User Satisfaction Scores:**

- **Ease of Setup:** 8.3/10 (Category avg: 8.5/10)
- **Ease of Admin:** 8.1/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.5/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Trendalyze](https://www.g2.com/sellers/trendalyze)
- **Year Founded:** 2016
- **HQ Location:** USA, Newark
- **Twitter:** @trendalyze (115 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/9487986/ (6 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 37% Enterprise, 37% Small-Business


### 17. [Automatic Forecasting Systems](https://www.g2.com/products/automatic-forecasting-systems/reviews)
  Autobox is the flagship product of Automatic Forecasting Systems Inc. (AFS), offering advanced forecasting solutions for PC desktops since 1976. Designed to cater to both novice and expert forecasters, Autobox provides a comprehensive environment that simplifies the forecasting process, whether managing a single time series or thousands. Key Features and Functionality: - Automatic Modeling: Autobox automates the Box-Jenkins model-building process, allowing users to generate accurate forecasts without manual intervention. - Data Cleansing: The software identifies and adjusts for outliers, ensuring the integrity of the dataset and enhancing forecast accuracy. - Causal Analysis: Autobox incorporates causal factors into forecasts, such as sales of related products, cannibalization effects, and competitor pricing, providing a more comprehensive analysis. - Scenario Planning: Users can create "what-if" scenarios to assess potential outcomes and make informed decisions based on various assumptions. - Probability Assessments: The software determines the likelihood of achieving specific targets, aiding in risk assessment and strategic planning. Primary Value and User Solutions: Autobox addresses the complexities of time-series forecasting by automating model selection and parameter estimation, reducing the need for extensive statistical expertise. By integrating causal factors and providing tools for scenario analysis, it enables businesses to make data-driven decisions, optimize inventory levels, and improve financial planning. The software's ability to cleanse data and assess probabilities further enhances the reliability of forecasts, ultimately leading to cost savings and increased operational efficiency.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 12

**User Satisfaction Scores:**

- **Ease of Setup:** 8.5/10 (Category avg: 8.5/10)
- **Ease of Admin:** 5.0/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.9/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 5.0/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Automatic Forecasting Systems](https://www.g2.com/sellers/automatic-forecasting-systems)
- **Year Founded:** 1975
- **HQ Location:** Hatboro, US
- **Twitter:** @tomdireill (949 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/automatic-forecasting-systems/about/ (5 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Mid-Market, 25% Enterprise


#### Pros & Cons

**Pros:**

- Forecasting Accuracy (4 reviews)
- Ease of Use (1 reviews)
- Machine Learning (1 reviews)
- Performance (1 reviews)
- Solutions (1 reviews)

**Cons:**

- Complexity (1 reviews)
- Complexity Issues (1 reviews)
- Slow Performance (1 reviews)

### 18. [Shapelets](https://www.g2.com/products/shapelets/reviews)
  The first state-of-the-art platform for time series analysis


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 10

**User Satisfaction Scores:**

- **Ease of Setup:** 9.5/10 (Category avg: 8.5/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.5/10)
- **Quality of Support:** 9.3/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Shapelets](https://www.g2.com/sellers/shapelets)
- **Year Founded:** 2018
- **HQ Location:** Málaga, Andalusia
- **Twitter:** @shapelets (275 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/shapelets/ (2 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 40% Small-Business, 30% Mid-Market


### 19. [Datapred](https://www.g2.com/products/datapred/reviews)
  Datapred is an integrated online software for energy buyers, helping them with reporting and market awareness, and providing powerful decision support.


  **Average Rating:** 4.0/5.0
  **Total Reviews:** 12

**User Satisfaction Scores:**

- **Ease of Setup:** 7.9/10 (Category avg: 8.5/10)
- **Ease of Admin:** 9.2/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.5/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Datapred](https://www.g2.com/sellers/datapred)
- **Year Founded:** 2015
- **HQ Location:** Lausanne
- **LinkedIn® Page:** https://www.linkedin.com/company/datapred/about/ (15 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Small-Business, 33% Mid-Market


#### Pros & Cons

**Pros:**

- User Interface (2 reviews)
- Cloud Computing (1 reviews)
- Data Analysis (1 reviews)
- Ease of Use (1 reviews)
- Machine Learning (1 reviews)

**Cons:**

- Expensive (2 reviews)
- Data Management Issues (1 reviews)
- Learning Curve (1 reviews)

### 20. [SAS Visual Forecasting](https://www.g2.com/products/sas-visual-forecasting/reviews)
  SAS Visual Forecasting allows users to generate large numbers of trustworthy forecasts, quickly and automatically, using time series, machine learning and deep learning techniques. It comes with a no/low-code user interface, as well as a programmatic interface where users can code in SAS and open-source languages such as Python and R. Key features include: automatic data preparation, hierarchical forecasting, automatic segmentation of time series, incorporation of external drivers and events in a simple manner, hybrid forecasting techniques, interactive modeling capabilities, a framework to scale open-source algorithms in the cloud, a user friendly way for flexible overrides, and easy deployment of forecasting pipelines.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 12

**User Satisfaction Scores:**

- **Ease of Setup:** 7.2/10 (Category avg: 8.5/10)
- **Ease of Admin:** 7.9/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.1/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Year Founded:** 1976
- **HQ Location:** Cary, NC
- **Twitter:** @SASsoftware (60,996 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,238 employees on LinkedIn®)
- **Phone:** 1-800-727-0025

**Reviewer Demographics:**
  - **Company Size:** 38% Enterprise, 31% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (4 reviews)
- Integrations (3 reviews)
- Features (2 reviews)
- Time Management (2 reviews)
- Analytics (1 reviews)

**Cons:**

- Complexity Issues (1 reviews)
- Complex Setup (1 reviews)
- Expensive (1 reviews)
- Expensive Licensing (1 reviews)
- Learning Curve (1 reviews)

### 21. [The Ikigai platform](https://www.g2.com/products/the-ikigai-platform/reviews)
  Ikigai's operational BI platform transforms the way businesses make tactical decisions. Business-user-friendly UI/UX enables anyone to infuse and prepare data and run robust AI-powered analyses to achieve their business goals. DeepMatch stitches together even the most disparate datasets in minutes without any data pre-processing. This patented technology improves over time and learns from humans. The proprietary DeepCasting technology generates forecasts on as little as a few weeks of data, also with higher accuracy than any other method. Instead of comparing a handful of what-if scenarios, Ikigai's proprietary DeepPlan analysis evaluates up to 10^19 options and identifies the most optimal ones for any given parameters. Built upon cutting-edge MIT research on AI and machine learning, Ikigai is uniquely positioned to help operational teams improve the speed and accuracy of their decisions under uncertainty and constant change, ultimately increasing the ROI for their business, while making the latest data science techniques accessible to any data professional. Learn more https://www.ikigailabs.io


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 16

**User Satisfaction Scores:**

- **Quality of Support:** 9.7/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Ikigai Labs](https://www.g2.com/sellers/ikigai-labs)
- **HQ Location:** Singapore, Singapore
- **Twitter:** @IkigaiInc (66 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/ikigai-labs/ (1 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 63% Small-Business, 25% Enterprise


### 22. [SensorMesh](https://www.g2.com/products/sensormesh/reviews)
  SensorMesh is an advanced wireless sensor network solution designed to operate autonomously without relying on external communication infrastructure. Utilizing LoRa Mesh technology, it enables seamless data collection and transmission across various industrial and energy sectors. By forming a mesh network of sensor nodes that communicate directly, SensorMesh ensures efficient data transfer without the need for cables or third-party networks, thereby reducing operational costs and enhancing system reliability, especially in challenging environments. Key Features and Functionality: - Autonomous Operation: Functions independently of traditional communication networks, making it ideal for remote or hard-to-reach areas. - Mesh Network Architecture: Employs sensor nodes that communicate directly with each other, facilitating efficient and reliable data transmission. - Cost-Effective Deployment: Eliminates the need for extensive cabling or external networks, reducing installation and maintenance expenses. - Versatile Sensor Compatibility: Supports a wide range of sensors to monitor various environmental and operational parameters. - Scalability: Easily expandable to accommodate additional sensors or nodes as monitoring needs grow. Primary Value and User Solutions: SensorMesh addresses the growing demand for low-cost, reliable remote monitoring solutions across multiple industries. In sectors like energy and manufacturing, continuous monitoring of operational and environmental variables is crucial for ensuring efficiency and safety. By operating independently of traditional communication networks, SensorMesh is particularly suitable for remote areas or locations where constructing conventional infrastructure would be too expensive or impractical. This autonomy makes remote monitoring accessible and cost-effective, improving operations and enhancing data-driven decision-making. Potential applications of SensorMesh extend beyond the energy sector, including industrial monitoring, precision agriculture, smart cities, and infrastructure monitoring. For instance, in industrial settings, it can track critical parameters such as temperature, vibration, and pressure across manufacturing facilities, enabling efficient operations and preemptive maintenance. In precision agriculture, it can monitor soil moisture, temperature, and climate conditions to optimize farming practices. In smart cities, SensorMesh can be used for remote monitoring of energy and water consumption, smart lighting, and environmental conditions, supporting sustainability in urban areas. Additionally, it can be employed for structural health monitoring of bridges, buildings, and critical infrastructure, helping to detect potential failures before they become problems.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 6

**User Satisfaction Scores:**

- **Ease of Setup:** 8.9/10 (Category avg: 8.5/10)
- **Ease of Admin:** 6.7/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.6/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [SensorMesh](https://www.g2.com/sellers/sensormesh)
- **HQ Location:** New Zealand
- **LinkedIn® Page:** https://www.linkedin.com/company/sensormesh-limited/about/ (2 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 67% Small-Business, 50% Mid-Market


### 23. [SolutionSoft Systems](https://www.g2.com/products/solutionsoft-systems/reviews)
  Time Machine® by SolutionSoft Systems Inc. is a software solution that provides virtual clocks, enabling applications to simulate different dates and times without altering the system clock. This functionality is essential for testing date- and time-sensitive application logic, such as month-end, quarter-end, and year-end processing, billing cycles, workflow automation, regulatory compliance, and policy lifecycles. By facilitating time shift testing, Time Machine ensures that applications perform accurately across various temporal scenarios. Key Features and Functionality: - Virtual Clock Simulation: Allows applications to "time travel" to past or future dates for comprehensive testing. - Transparency: Operates without modifying the system clock or requiring code changes, ensuring seamless integration with existing applications and databases. - Broad Compatibility: Supports various environments, including Windows, Linux, Unix, Mainframe zLinux, Dockerized, Virtualized, On-Premises, and Cloud platforms. - Cost Efficiency: Reduces hardware and software expenses by eliminating the need for multiple test environments. - Productivity Enhancement: Accelerates engineering workflows by streamlining the testing process. - Risk Mitigation: Minimizes the potential for mission-critical application failures by enabling thorough testing. - Enterprise Security: Provides a unique solution for Active Directory or Kerberos date-based testing without compromising security protocols. - Time Zone Adjustment: Facilitates testing across different time zones to ensure global application consistency. - User Training: Offers training resources to help users effectively implement and utilize the software. Primary Value and Problem Solved: Time Machine addresses the challenges associated with testing date- and time-dependent application logic by providing a reliable and efficient method for simulating various temporal scenarios. Traditional methods, such as manually resetting system clocks, are time-consuming, error-prone, and often infeasible in environments secured by Active Directory or Kerberos. By offering a transparent and code-free solution, Time Machine enables organizations to conduct thorough testing, ensuring that applications function correctly across all time-related conditions. This leads to significant cost savings, enhanced productivity, and reduced risk of application failures, ultimately supporting the timely and budget-conscious completion of large-scale software projects.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 5

**User Satisfaction Scores:**

- **Ease of Setup:** 9.4/10 (Category avg: 8.5/10)
- **Ease of Admin:** 9.4/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.9/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Solution-Soft](https://www.g2.com/sellers/solution-soft)
- **Year Founded:** 1993
- **HQ Location:** Santa Clara, US
- **Twitter:** @solutionsofttm (464 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2604845/admin (22 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 60% Enterprise, 40% Mid-Market


### 24. [The PI System](https://www.g2.com/products/the-pi-system/reviews)
  The PI System is an enterprise infrastructure for management of real-time data and events with tools and features to help you manage your data and more.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 19

**User Satisfaction Scores:**

- **Ease of Setup:** 9.2/10 (Category avg: 8.5/10)
- **Ease of Admin:** 9.7/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.2/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [AVEVA](https://www.g2.com/sellers/aveva)
- **Year Founded:** 1967
- **HQ Location:** Cambridge, GB
- **Twitter:** @AVEVAGroup (15,400 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/14547/ (7,622 employees on LinkedIn®)
- **Ownership:** LSE:AVV

**Reviewer Demographics:**
  - **Company Size:** 43% Mid-Market, 38% Enterprise


#### Pros & Cons


**Cons:**

- Complex Usability (1 reviews)
- UX Design (1 reviews)
- UX Improvement (1 reviews)

### 25. [Apica](https://www.g2.com/products/apica-apica/reviews)
  Apica provides agentic-ready infrastructure purpose-built for the AI era. Apica helps enterprises take control of exploding telemetry volumes by providing the pipeline control, metrics foundation, and data readiness that AI agents demand, at up to 40% lower total cost of ownership than legacy observability platforms. Unlike platform-centric solutions that ingest everything indiscriminately and charge at every step, Apica's pipeline-first architecture processes, enriches, and governs telemetry before costly platform ingestion, giving enterprises clean, governed, real-time data without vendor lock-in. Apica Ascent, the only complete telemetry data management product suite purpose-built for agentic AI environments, serves global enterprises across financial services, healthcare, retail, telecommunications, and technology sectors. Recognized as a Visionary in the 2025 Gartner Magic Quadrant for Observability Platforms. Learn more at www.apica.io or visit docs.apica.io.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 15

**User Satisfaction Scores:**

- **Ease of Setup:** 5.8/10 (Category avg: 8.5/10)
- **Ease of Admin:** 6.7/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.2/10 (Category avg: 8.7/10)
- **Has the product been a good partner in doing business?:** 7.5/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Apica](https://www.g2.com/sellers/apica)
- **Year Founded:** 2005
- **HQ Location:** Stockholm, SE
- **LinkedIn® Page:** https://www.linkedin.com/company/apica-ab/ (80 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 47% Mid-Market, 33% Enterprise




## Parent Category

[Analytics Tools & Software](https://www.g2.com/categories/analytics-tools-software)



## Related Categories

- [Predictive Analytics Software](https://www.g2.com/categories/predictive-analytics)
- [Time Series Databases](https://www.g2.com/categories/time-series-databases)
- [Manufacturing Intelligence Software](https://www.g2.com/categories/manufacturing-intelligence)