# Best Stream Analytics Software

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

   Stream analytics software monitors and analyzes integration data in real time. These tools allow users to analyze data in transfer between applications or through APIs. This allows users to analyze both historical events and what’s happening at that exact time. Companies use stream analytics to better understand what data users are retrieving and to monitor endpoints. Users can analyze data being transferred amongst devices like internet of things (IoT) endpoints, such as smart cars, machinery, or home appliances. Many tools contain data visualization components to present and map connected devices. Other common features include competitive analysis and big data analytics. There is some crossover between stream analytics and [big data analytics tools](https://www.g2.com/categories/big-data-analytics), but big data analytics tools aren’t necessarily used specifically to provide real-time information.

To qualify for inclusion in the Stream Analytics category, a product must:

- Monitor events pertaining to information exchange in real time
- Alert users of device or network failures using triggers 
- Provide actionable analytical insights




  
## Category Overview

**Total Products under this Category:** 76

  
## Trust & Credibility Stats

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

- 30 Analysts and Data Experts
- 3,100+ Authentic Reviews
- 76+ 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 Stream Analytics Software At A Glance

- **Leader:** [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews)
- **Highest Performer:** [Evam](https://www.g2.com/products/evam/reviews)
- **Easiest to Use:** [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews)
- **Top Trending:** [Evam](https://www.g2.com/products/evam/reviews)
- **Best Free Software:** [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews)

  
---

**Sponsored**

### Kpow for Apache Kafka®

Kpow is a sophisticated enterprise Kafka management tool designed to enhance the experience of engineering teams by providing a comprehensive solution for managing, monitoring, exploring, and securing Kafka environments. This JVM-based web application serves as an all-in-one console, empowering Kafka engineers with the capabilities they need to streamline their operations and improve productivity. Targeted primarily at engineering teams working with Kafka, Kpow addresses the complexities of managing multiple Kafka clusters, schema registries, and connection installations. With Kpow, users can efficiently monitor and control their Kafka resources from a single interface, simplifying the management process and reducing the time spent on routine tasks. The tool is particularly beneficial for organizations that rely heavily on Kafka for data streaming and processing, as it provides essential functionalities that enhance observability and operational efficiency. One of the standout features of Kpow is its real-time monitoring and visualization capabilities. Users can quickly identify unbalanced brokers and gain insights into how data is distributed across their Kafka Streams topologies. This level of visibility is crucial for diagnosing production issues and optimizing performance. Kpow's advanced search functionalities, including Data Inspect, Streaming Search, and kREPL, enable users to search through vast amounts of messages at remarkable speeds, allowing for rapid troubleshooting and data analysis. Kpow also prioritizes security and access control, making it suitable for enterprise environments. It integrates seamlessly with standard authentication providers and offers role-based access controls, ensuring that user actions can be finely tuned to meet organizational security requirements. Additional security features, such as data masking and audit logs, further enhance the tool's capability to operate in sensitive environments, including air-gapped installations. Installation of Kpow is straightforward, requiring only a single Docker container or JAR file, which operates efficiently with minimal resource requirements of 1GB memory and 1 CPU for production use. This ease of deployment, combined with its powerful features, positions Kpow as a valuable asset for organizations looking to maximize their Kafka infrastructure while maintaining robust security and operational control.



[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=1184&secure%5Bdisplayable_resource_id%5D=1184&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1184&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=133071&secure%5Bresource_id%5D=1184&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fstream-analytics&secure%5Btoken%5D=39266f2ec835d74447bb04fc1b489611102a81e020e5c08db55b72df6101e5a6&secure%5Burl%5D=http%3A%2F%2Ffactorhouse.io%2F&secure%5Burl_type%5D=custom_url)

---

  ## Top-Rated Products (Ranked by G2 Score)
### 1. [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews)
  Operations Hub connects, cleanses, and automates customer data across the HubSpot CRM, providing operations teams with tools to maintain data quality, ensure system integration, and streamline business processes. Core Value Proposition: Operations Hub addresses critical operational challenges: disconnected data across applications, manual data entry consuming team time, data quality issues undermining business decisions, and complex automation requirements existing tools cannot handle. The platform offers native integrations with other applications to create a more efficient, aligned, and agile business. Key Capabilities: Data Integration: Operations Hub connects contacts, leads, and company data between HubSpot and external applications bidirectionally and in real-time. This creates a unified customer data foundation rather than requiring manual data transfer. Data Quality Management: The platform includes tools that maintain a clean database, allowing operations teams to save hours of manual data validation and correction work. Process Automation: Operations Hub enables complex business process automation across systems, connecting trigger events in one application to automated actions in another. This streamlines internal workflows and reduces manual coordination. Unified Customer View: By connecting all customer data sources to the HubSpot CRM platform, Operations Hub creates a single source of truth that sales, marketing, and service teams can reference for customer interactions. Operations Hub vs. Alternatives: Unlike standalone integration platforms (iPaaS) requiring technical expertise to configure and maintain, Operations Hub provides native HubSpot integration with a visual interface designed for operations professionals rather than developers. This reduces implementation time and ongoing maintenance requirements. Operations Hub eliminates manual data entry and data validation by automating these workflows. The platform guarantees up-to-date data and maintains a clean database without constant manual intervention. Who Should Use Operations Hub: Operations Hub serves operations teams managing data across multiple systems, organizations experiencing data quality issues affecting business decisions, and companies needing to automate complex cross-system workflows without extensive technical resources. The platform enables business agility as organizations grow. Outcome: Operations Hub supercharges your HubSpot CRM with a complete toolkit to connect, clean, and automate customer data, uniting all customer data into one connected platform that results in a friction-free customer experience.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 560

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [HubSpot](https://www.g2.com/sellers/hubspot)
- **Company Website:** https://www.HubSpot.com
- **Year Founded:** 2006
- **HQ Location:** Cambridge, MA
- **Twitter:** @HubSpot (785,683 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/68529/ (11,979 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** CEO, Owner
  - **Top Industries:** Information Technology and Services, Marketing and Advertising
  - **Company Size:** 67% Small-Business, 30% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (119 reviews)
- Automation (90 reviews)
- Data Management (88 reviews)
- Integrations (65 reviews)
- Efficiency (48 reviews)

**Cons:**

- Limitations (58 reviews)
- Missing Features (40 reviews)
- Learning Curve (37 reviews)
- Expensive (33 reviews)
- Complexity (27 reviews)

### 2. [Elastic Stack](https://www.g2.com/products/elastic-stack/reviews)
  The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 98

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10)
- **Ease of Admin:** 7.6/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.2/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.0/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Elastic](https://www.g2.com/sellers/elastic)
- **Year Founded:** 2012
- **HQ Location:** San Francisco, CA
- **Twitter:** @elastic (64,562 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/814025/ (4,986 employees on LinkedIn®)
- **Ownership:** NYSE: ESTC

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 45% Mid-Market, 34% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (3 reviews)
- Flexibility (3 reviews)
- Log Management (3 reviews)
- Search Efficiency (3 reviews)
- Versatility (3 reviews)

**Cons:**

- Resource Management (3 reviews)
- Complexity Issues (2 reviews)
- Expensive (2 reviews)
- High Memory Usage (2 reviews)
- Learning Curve (2 reviews)

### 3. [Tealium Customer Data Hub](https://www.g2.com/products/tealium-customer-data-hub/reviews)
  The Tealium Customer Data Hub (CDH) is a sophisticated customer data management solution designed to facilitate real-time connections among customer engagement data across an organization. By integrating data from various channels into a single, comprehensive view of the customer, the CDH empowers brands to make informed decisions and drive targeted actions based on insights derived from all available data sources. This unified approach enables organizations to create personalized customer experiences that resonate with their audience. The CDH is particularly beneficial for marketing teams, data analysts, and IT professionals who seek to harness customer data effectively. It serves as a central repository for customer information, allowing businesses to build actionable customer profiles that can be utilized across various marketing channels. This capability is essential for organizations looking to enhance customer engagement and improve overall marketing effectiveness. By leveraging the insights generated from the CDH, teams can tailor their strategies to meet the specific needs and preferences of their customers. Key features of the Tealium Customer Data Hub include tag management, an API Hub, a customer data platform with predictive insights, and a robust data management solution that incorporates embedded analytics for reporting and dashboarding. The tag management feature simplifies the process of managing and deploying marketing tags, ensuring that data collection is streamlined and efficient. The API Hub facilitates seamless integration with other tools and platforms, enhancing the overall functionality of the system. Additionally, the predictive insights offered by the customer data platform allow organizations to anticipate customer behavior and preferences, further refining their engagement strategies. One of the standout benefits of the CDH is its ability to ensure that all teams and tools operate from a unified set of customer data in real time. This real-time data access is crucial for organizations that require up-to-date information to make timely decisions. The CDH is designed to empower business users to leverage data for customer engagement while also providing technical resources with the capabilities needed for more complex data management tasks. This dual focus on usability and technical robustness makes the Tealium Customer Data Hub a versatile solution for organizations aiming to enhance their customer engagement efforts through data-driven insights.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 440

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10)
- **Ease of Admin:** 7.9/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.9/10 (Category avg: 8.8/10)
- **Ease of Use:** 7.7/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Tealium](https://www.g2.com/sellers/tealium)
- **Company Website:** https://www.tealium.com
- **Year Founded:** 2011
- **HQ Location:** San Diego, CA
- **Twitter:** @tealium (4,734 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/211380/ (573 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Web Analyst
  - **Top Industries:** Financial Services, Retail
  - **Company Size:** 49% Enterprise, 28% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (58 reviews)
- Data Management (56 reviews)
- Integrations (52 reviews)
- Real-Time Processing (49 reviews)
- Easy Integration (47 reviews)

**Cons:**

- Learning Curve (63 reviews)
- Difficult Learning (46 reviews)
- Complexity (42 reviews)
- Learning Difficulty (33 reviews)
- Steep Learning Curve (33 reviews)

### 4. [Amazon OpenSearch Service](https://www.g2.com/products/amazon-opensearch-service/reviews)
  Amazon OpenSearch Service securely unlocks real-time search, monitoring, and analysis of business and operational data for use cases like application monitoring, log analytics, observability, and website search. To view more pricing details, please visit https://aws.amazon.com/opensearch-service/pricing. To try Amazon OpenSearch Service free today, please visit: https://aws.amazon.com/free/.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 96

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.1/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.5/10 (Category avg: 8.7/10)


**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 (2,226,638 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Who Uses This:** Technical Lead, Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 37% Mid-Market, 33% Enterprise


### 5. [Google Cloud Pub/Sub](https://www.g2.com/products/google-cloud-pub-sub/reviews)
  Ingest event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 34

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10)
- **Ease of Admin:** 7.9/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.8/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.7/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google (31,890,350 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®)
- **Ownership:** NASDAQ:GOOG

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Education Management
  - **Company Size:** 41% Small-Business, 31% Mid-Market


#### Pros & Cons

**Pros:**

- Scalability (2 reviews)
- Customer Support (1 reviews)
- Ease of Use (1 reviews)
- Easy Access (1 reviews)
- Integrations (1 reviews)

**Cons:**

- Expensive (1 reviews)
- Limitations (1 reviews)
- Slow Processing (1 reviews)

### 6. [Evam](https://www.g2.com/products/evam/reviews)
  Evam is a leading technology company that provides comprehensive solutions and products for real-time, cross-channel customer experiences. Our cutting-edge continuous intelligence technology leverages real-time data analysis to deliver unparalleled customer engagement. Evam empowers banks, telecommunications companies, and others to handle billions of interactions with AI algorithms, orchestrate customer journeys, and engage with customers across all channels, digital and legacy, in real-time. Our goal is to help our clients increase customer loyalty, maximize ROI and efficiency, and save time and money. Enterprises have the shortest time-to-market thanks to Evam’s low-code- development, scalable and modular platform leveraged by an experienced & high-quality management team with telco and banking domain know-how. With dozens of Forrester and Gartner research reports recognizing our excellence in customer engagement and event stream processing, our technology is trusted by industry giants like Vodafone, T-Mobile, Jazz, Turkcell, ICBC, TEB/BNP Paribas, ING Bank and Garanti BBVA. Headquartered in London and with offices in Amsterdam, Sofia and Istanbul, Evam delivers its products and services directly and through over 20 global partners. Our solutions are currently utilized by more than 600 million end-users, processing 20 billion events in over 15 countries every day.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 213

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 8.9/10)
- **Ease of Admin:** 9.5/10 (Category avg: 8.4/10)
- **Quality of Support:** 9.5/10 (Category avg: 8.8/10)
- **Ease of Use:** 9.2/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [EVAM](https://www.g2.com/sellers/evam)
- **Company Website:** https://evam.com/
- **Year Founded:** 2015
- **HQ Location:** London
- **LinkedIn® Page:** https://www.linkedin.com/company/evamtech (138 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Senior Business Analyst
  - **Top Industries:** Banking, Telecommunications
  - **Company Size:** 36% Enterprise, 34% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (102 reviews)
- Helpful (75 reviews)
- Intuitive (66 reviews)
- Automation (60 reviews)
- Flexibility (56 reviews)

**Cons:**

- Learning Curve (40 reviews)
- Difficult Learning (18 reviews)
- Steep Learning Curve (18 reviews)
- Complex Features (15 reviews)
- Not Intuitive (15 reviews)

### 7. [Amazon Kinesis Data Streams](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews)
  Amazon Kinesis Data Streams is a massively scalable, durable, and low-cost streaming data service. Kinesis Data Streams can continuously capture gigabytes of data per second from hundreds of thousands of sources, such as website clickstreams, database event streams, financial transactions, social media feeds, IT logs, and location-tracking events. The collected data is available in milliseconds to allow real-time analytics use cases, such as real-time dashboards, real-time anomaly detection, dynamic pricing. Customers run more than two million unique streams and process tens of PB of data per day with Amazon Kinesis Data Streams.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 81

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.4/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.6/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.7/10)


**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 (2,226,638 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 37% Enterprise, 37% Mid-Market


#### Pros & Cons

**Pros:**

- Real-time Data (2 reviews)
- Real-Time Processing (2 reviews)
- Real-time Streaming (2 reviews)
- Streaming (2 reviews)
- API Integration (1 reviews)

**Cons:**

- Difficult Setup (2 reviews)
- Expensive (2 reviews)
- Resource Intensive Learning (2 reviews)
- Complexity (1 reviews)
- Complexity Issues (1 reviews)

### 8. [Cloudera Data Platform](https://www.g2.com/products/cloudera-cloudera-data-platform/reviews)
  At Cloudera, we believe data can make what is impossible today, possible tomorrow. We deliver an enterprise data cloud for any data, anywhere, from the Edge to AI. We enable people to transform vast amounts of complex data into clear and actionable insights to enhance their businesses and exceed their expectations. Cloudera is leading hospitals to better cancer cures, securing financial institutions against fraud and cyber-crime, and helping humans arrive on Mars — and beyond. Powered by the relentless innovation of the open-source community, Cloudera advances digital transformation for the world’s largest enterprises


  **Average Rating:** 4.1/5.0
  **Total Reviews:** 131

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 8.9/10)
- **Ease of Admin:** 7.9/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.0/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Cloudera](https://www.g2.com/sellers/cloudera)
- **Year Founded:** 2008
- **HQ Location:** Palo Alto, CA
- **Twitter:** @cloudera (106,608 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/229433/ (3,387 employees on LinkedIn®)
- **Phone:** 888-789-1488

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer, Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 42% Enterprise, 32% Small-Business


### 9. [Amazon Kinesis](https://www.g2.com/products/amazon-web-services-aws-amazon-kinesis/reviews)
  Amazon Kinesis is a suite of managed services designed to collect, process, and analyze real-time streaming data at scale. It enables organizations to handle large volumes of data from diverse sources such as website clickstreams, database event logs, financial transactions, social media feeds, and IoT devices. By facilitating real-time data ingestion and analysis, Kinesis empowers businesses to derive actionable insights promptly, enhancing decision-making processes and operational efficiency. Key Features and Functionality: - Kinesis Data Streams: Allows continuous capture of gigabytes of data per second from multiple sources, providing low-latency access for real-time analytics applications. - Kinesis Data Firehose: Enables reliable loading of streaming data into data lakes, data stores, and analytics services, supporting destinations like Amazon S3, Amazon Redshift, and Amazon Elasticsearch. - Kinesis Data Analytics: Offers real-time processing of streaming data using standard SQL or Apache Flink, allowing users to perform complex queries and transformations without extensive programming. - Kinesis Video Streams: Facilitates secure ingestion, processing, and storage of video streams from connected devices, supporting applications such as machine learning-based video analytics and real-time monitoring. Primary Value and Problem Solved: Amazon Kinesis addresses the challenge of processing and analyzing large-scale, real-time data streams by providing a fully managed, scalable, and secure platform. It eliminates the complexities associated with building and maintaining custom streaming data solutions, allowing organizations to focus on deriving insights and responding to information in real time. This capability is crucial for applications requiring immediate data processing, such as fraud detection, live leaderboards, real-time monitoring, and IoT analytics.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 25

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.6/10 (Category avg: 8.4/10)
- **Quality of Support:** 9.1/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.7/10 (Category avg: 8.7/10)


**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 (2,226,638 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 42% Mid-Market, 35% Small-Business


### 10. [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews)
  IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization. It integrates with IBM’s broader data integration capabilities, enabling reliable pipelines that unify multiple data integration patterns, underpinned by data observability capabilities for continuous data quality monitoring and remediation. That’s why the largest companies in the world trust StreamSets to power millions of data pipelines for modern analytics, data science, smart applications, and hybrid integration.


  **Average Rating:** 4.0/5.0
  **Total Reviews:** 115

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 8.9/10)
- **Ease of Admin:** 7.8/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.0/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.4/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, NY
- **Twitter:** @IBM (709,298 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (324,553 employees on LinkedIn®)
- **Ownership:** SWX:IBM

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer, Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 42% Enterprise, 33% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (30 reviews)
- User Interface (16 reviews)
- Data Management (15 reviews)
- Data Pipelining (15 reviews)
- Integrations (14 reviews)

**Cons:**

- Learning Curve (13 reviews)
- Expensive (10 reviews)
- Learning Difficulty (8 reviews)
- Slow Performance (8 reviews)
- Steep Learning Curve (8 reviews)

### 11. [Amazon Managed Streaming for Apache Kafka (Amazon MSK)](https://www.g2.com/products/amazon-managed-streaming-for-apache-kafka-amazon-msk/reviews)
  Amazon Managed Streaming for Apache Kafka (Amazon MSK) is an AWS streaming data service that manages Apache Kafka infrastructure and operations, making it easy for developers and DevOps managers to run Apache Kafka applications and Kafka Connect connectors on AWS, without the need to become experts in operating Apache Kafka. Amazon MSK operates, maintains, and scales Apache Kafka clusters, provides enterprise-grade security features out of the box, and has built-in AWS integrations that accelerate development of streaming data applications. To get started, you can migrate existing Apache Kafka workloads and Kafka Connect connectors into Amazon MSK, or with a few clicks, you can build new ones from scratch. There are no data transfer charges for in-cluster traffic, and no commitments or upfront payments required. You only pay for the resources that you use.


  **Average Rating:** 4.0/5.0
  **Total Reviews:** 21

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.7/10 (Category avg: 8.4/10)
- **Quality of Support:** 9.0/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.7/10)


**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 (2,226,638 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
  - **Company Size:** 50% Small-Business, 36% Mid-Market


#### Pros & Cons

**Pros:**

- Cloud Services (1 reviews)
- Maintenance Ease (1 reviews)
- Management Ease (1 reviews)
- Reliability (1 reviews)
- Scalability (1 reviews)

**Cons:**

- Expensive (1 reviews)
- Limitations (1 reviews)
- Limited Control (1 reviews)

### 12. [Azure IoT Central](https://www.g2.com/products/azure-iot-central/reviews)
  Azure IoT Central brings the Internet of your things to life by connecting your devices, analyzing previously- untapped data, and integrate business systems and transforming your company when you uncover new business models and revenue streams.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 15

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.4/10)
- **Quality of Support:** 9.1/10 (Category avg: 8.8/10)
- **Ease of Use:** 9.4/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,105,638 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®)
- **Ownership:** MSFT

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 46% Small-Business, 29% Enterprise


### 13. [Azure Event Hubs](https://www.g2.com/products/azure-event-hubs/reviews)
  Azure Event Hubs is a scalable data streaming platform and event ingestion service, capable of receiving and processing millions of events per second. Event Hubs processes and stores events, data, or telemetry produced by distributed software and devices.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 12

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.8/10 (Category avg: 8.4/10)
- **Quality of Support:** 9.0/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,105,638 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®)
- **Ownership:** MSFT

**Reviewer Demographics:**
  - **Company Size:** 69% Small-Business, 31% Enterprise


### 14. [Confluent](https://www.g2.com/products/confluent/reviews)
  Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-time brand experiences. Data in motion is the underlying, fundamental ingredient to any truly connected customer experience. It provides a continuous supply of real- time event streams coupled with real-time stream processing to power the data-driven backend operations and rich front-end experiences necessary for any business to succeed within today’s competitive, consumer-driven markets. Set your data in motion while avoiding the headaches of infrastructure management and focus on what matters most: your business. Built by the original creators of Apache Kafka, Confluent Cloud is a fully managed, cloud-native service for connecting and processing all of your real-time data, everywhere it’s needed.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 111

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.1/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.4/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Confluent](https://www.g2.com/sellers/confluent)
- **Year Founded:** 2014
- **HQ Location:** Mountain View, California
- **Twitter:** @ConfluentInc (43,607 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/88873/ (3,706 employees on LinkedIn®)
- **Ownership:** NASDAQ: CFLT

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 36% Enterprise, 34% Small-Business


#### Pros & Cons

**Pros:**

- Cloud Computing (1 reviews)
- Cloud Services (1 reviews)
- Connectors (1 reviews)
- Data Integration (1 reviews)
- Ease of Use (1 reviews)

**Cons:**

- Cost Estimation (1 reviews)
- Expensive (1 reviews)
- Initial Difficulties (1 reviews)
- Lack of Features (1 reviews)
- Learning Curve (1 reviews)

### 15. [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews)
  Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packaging options tailored to meet the diverse needs of teams at various stages of their visual data science journey. Turn raw data into real-time decisions with powerful, interactive visual analytics with Spotfire® Analytics. Spotfire Analytics is designed for business agility, enabling every user to explore data visually, uncover patterns quickly, and make confident, data-driven decisions without writing a single line of code. As a self-service visual data science solution, it empowers teams across roles and departments to gain fast, actionable insights that drive impact. With its no-code interactive dashboards and rich visual exploration capabilities, Spotfire Analytics connects natively to hundreds of cloud, on-premises, and real-time data sources. Built-in geoanalytics extend the power of analysis with multi-layer mapping and seamless integration of spatial data, while data wrangling and transformation can be performed directly within the visual interface, making it easy to clean, shape, and blend data as you analyze. AI-assisted recommendations and anomaly detection help uncover hidden patterns, suggest the most meaningful visualizations, and accelerate the path to discovery. Customizable visualizations, workflows, and an intuitive interface ensure that insights are not only easier to create but also easier to share. With seamless collaboration features, Spotfire Analytics enables teams to work together, align on insights, and act decisively. Whether the goal is to analyze trends, detect anomalies, or unlock location-based intelligence, Spotfire Analytics delivers the speed, flexibility, and depth needed to make smarter decisions with confidence. Explore and understand your data visually, uncover hidden insights, and build powerful analytics applications - all without writing a single line of code. Spotfire Analytics combines advanced interactive visualizations and intuitive data wrangling in one environment. Connect to hundreds of data sources, from files to real-time streaming data, and transform messy data directly within your visuals. Built-in AI recommendations help you find patterns, anomalies, and trends faster. With flexible visualizations, spatial analytics, and custom applications, anyone can turn raw data into actionable insights in minutes. Designed for business agility, Spotfire Analytics empowers every user to explore, analyze, and share results confidently - turning questions into decisions. Best for: Analysts, data-savvy professionals, and teams looking to explore and share data visually with maximum flexibility.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 328

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 8.9/10)
- **Ease of Admin:** 7.8/10 (Category avg: 8.4/10)
- **Quality of Support:** 7.8/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.1/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Spotfire](https://www.g2.com/sellers/spotfire-2d87c926-94f3-47ce-8a5d-44d930d7c744)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/spotfire/ (103 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Student, Manager
  - **Top Industries:** Oil & Energy, Information Technology and Services
  - **Company Size:** 52% Enterprise, 26% Mid-Market


#### Pros & Cons

**Pros:**

- Data Visualization (15 reviews)
- Ease of Use (15 reviews)
- Insights (11 reviews)
- Easy Integrations (10 reviews)
- Features (10 reviews)

**Cons:**

- Learning Curve (9 reviews)
- Learning Difficulty (7 reviews)
- Expensive (5 reviews)
- Steep Learning Curve (4 reviews)
- Complexity (3 reviews)

### 16. [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews)
  Apache Kafka is an open-source distributed event streaming platform developed by the Apache Software Foundation. It is designed to handle real-time data feeds with high throughput and low latency, making it ideal for building data pipelines, streaming analytics, and integrating data across various systems. Kafka enables organizations to publish, store, and process streams of records in a fault-tolerant and scalable manner, supporting mission-critical applications across diverse industries. Key Features and Functionality: - High Throughput and Low Latency: Kafka delivers messages at network-limited throughput with latencies as low as 2 milliseconds, ensuring efficient data processing. - Scalability: It can scale production clusters up to thousands of brokers, handling trillions of messages per day and petabytes of data, while elastically expanding and contracting storage and processing capabilities. - Durable Storage: Kafka stores streams of data safely in a distributed, durable, and fault-tolerant cluster, ensuring data integrity and availability. - High Availability: The platform supports efficient stretching of clusters over availability zones and connects separate clusters across geographic regions, enhancing resilience. - Stream Processing: Kafka provides built-in stream processing capabilities through the Kafka Streams API, allowing for operations like joins, aggregations, filters, and transformations with event-time processing and exactly-once semantics. - Connectivity: With Kafka Connect, it integrates seamlessly with hundreds of event sources and sinks, including databases, messaging systems, and cloud storage services. Primary Value and Solutions Provided: Apache Kafka addresses the challenges of managing real-time data streams by offering a unified platform that combines messaging, storage, and stream processing. It enables organizations to: - Build Real-Time Data Pipelines: Facilitate the continuous flow of data between systems, ensuring timely and reliable data delivery. - Implement Streaming Analytics: Analyze and process data streams in real-time, allowing for immediate insights and actions. - Ensure Data Integration: Seamlessly connect various data sources and sinks, promoting a cohesive data ecosystem. - Support Mission-Critical Applications: Provide a robust and fault-tolerant infrastructure capable of handling high-volume and high-velocity data, essential for critical business operations. By leveraging Kafka's capabilities, organizations can modernize their data architectures, enhance operational efficiency, and drive innovation through real-time data processing and analytics.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 126

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10)
- **Ease of Admin:** 7.8/10 (Category avg: 8.4/10)
- **Quality of Support:** 7.8/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.6/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF (66,154 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/215982/ (2,408 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 47% Enterprise, 33% Mid-Market


#### Pros & Cons

**Pros:**

- Scalability (5 reviews)
- Real-time Data (3 reviews)
- Easy Integrations (2 reviews)
- Performance (2 reviews)
- Performance Efficiency (2 reviews)

**Cons:**

- Complexity (1 reviews)
- Data Management Issues (1 reviews)
- Debugging Issues (1 reviews)
- Difficult Learning (1 reviews)
- Limited Customization (1 reviews)

### 17. [Nexla](https://www.g2.com/products/nexla/reviews)
  Nexla is an enterprise-grade, AI-powered data integration platform designed to help organizations unlock data from any source and transform it into production-ready data products for AI and agents. With support for 550+ pre-built connectors and multiple integration styles, including ELT, ETL, streaming, APIs, and agentic RAG, the platform enables teams to build and manage data flows without writing code. Trusted by leading enterprises, Nexla processes over one trillion records per month across industries, ​​showcasing its ability to handle large volumes of data while maintaining performance and reliability. Innovators like Autodesk, DoorDash, Instacart, Johnson & Johnson, LinkedIn, and LiveRamp rely on Nexla to keep mission-critical data flowing seamlessly across their enterprises. Key features of Nexla include flexible deployment across cloud, hybrid, and on-premises environments, ensuring compliance with enterprise-grade security standards such as SOC 2 Type II, GDPR, CCPA, and HIPAA. Nexla delivers 10x faster implementation than traditional alternatives, turning data challenges and variety into competitive advantages. Try our AI Data Engineer at https://express.dev Increase the impact of your data engineering team with next-gen data integration: ✅ Eliminate costly replications & reduce storage bills ✅ Increase engineering productivity & capacity for innovation ✅ Empower users with Pro/Low/No-code collaboration ✅ Cut out maintenance with data validation, quality monitoring, & alerts ✅ Build production-ready custom GenAI applications Go beyond one traditional integration pattern, and invest in data architecture that supports: ✅ Any integration pattern (ELT, ETL, API / API proxy, & RAG - Retrieval Augmented Generation) ✅ Bi-directional connectors out of the box & on demand ✅ Any processing speed (streaming, real-time, batch) ✅ Unstructured, structured, or semi-structured data ✅ Complete data lineage search & tagging for governance ✅ Metadata-driven architecture for agility & scale Nexla is a Gartner Cool Vendor and pairs perfectly with the technologies you rely on: ✅ Compute: AWS, Azure, Google Cloud, On-Premise ✅ Storage: S3, Redshift, BigQuery, Snowflake, Oracle, Databricks, Kafka, Redis, MongoDB, Postgres, MySQL ✅ Applications: SAP, Salesforce, Marketo, Hubspot, Amazon Seller Central, Google Ads, API, Salesforce ✅ Catalogs: Alation, Collibra, data.world ✅ Webhooks, emails, FTP & APIs ✅ Vector database & LLM: Pinecone, GPT, Falcon, LLaMDa And many more Differentiators & Awards 🏆 2025 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 2024 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 2023 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 2022 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 63

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [Nexla](https://www.g2.com/sellers/nexla)
- **Company Website:** https://www.nexla.com/
- **Year Founded:** 2016
- **HQ Location:** San Mateo, California
- **Twitter:** @NexlaInc (945 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/nexla/ (76 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Insurance
  - **Company Size:** 41% Mid-Market, 32% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (20 reviews)
- Automation (14 reviews)
- Data Management (14 reviews)
- Integrations (12 reviews)
- Data Integration (10 reviews)

**Cons:**

- Learning Difficulty (7 reviews)
- Slow Performance (7 reviews)
- Difficult Learning (6 reviews)
- Learning Curve (6 reviews)
- Poor Documentation (6 reviews)

### 18. [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:**

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.9/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.7/10 (Category avg: 8.8/10)
- **Ease of Use:** 6.7/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [KX](https://www.g2.com/sellers/kx-a145756d-91d3-463e-a51d-9e13b1ac577c)
- **Year Founded:** 1996
- **HQ Location:** NY, USA
- **Twitter:** @kxsystems (4,167 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)

### 19. [GridGain](https://www.g2.com/products/gridgain/reviews)
  GridGain® is an in-memory computing platform solution designed to help organizations manage and process large volumes of data in real-time. Built on the robust Apache® Ignite™ framework, GridGain enables businesses to accelerate their applications, enhance data processing speeds, and scale efficiently to meet the demands of modern digital enterprises. This platform is particularly well-suited for scenarios where rapid data access and processing are critical, such as in financial services, e-commerce, telecommunications, and IoT applications. The target audience for GridGain includes IT professionals, data engineers, and business analysts who require high-performance computing capabilities to support their data-intensive applications. Organizations facing challenges related to data latency, scalability, and the need for real-time analytics will find GridGain to be a valuable solution. By leveraging in-memory computing, users can significantly reduce the time it takes to retrieve and analyze data, enabling them to make faster, data-driven decisions. Key features of the GridGain platform include distributed in-memory storage, advanced data processing capabilities, and seamless integration with existing data sources and applications. The platform supports SQL queries, key-value access, and various data processing frameworks, allowing users to work with data in the format that best suits their needs. Additionally, GridGain provides built-in support for machine learning and streaming analytics, empowering organizations to harness the full potential of their data in real-time. One of the primary benefits of using GridGain is its ability to enhance application performance by reducing latency and increasing throughput. By storing data in-memory rather than on traditional disk storage, GridGain enables faster data access and processing, which is crucial for applications that require immediate insights. Furthermore, the platform's scalability allows organizations to expand their computing resources as needed, ensuring that they can handle growing data volumes without compromising performance. GridGain stands out in the in-memory computing market due to its robust architecture, flexibility, and comprehensive support for various data processing needs. With a proven track record of success among major clients and numerous industry awards, GridGain continues to lead the way in addressing the challenges of Fast Data and helping organizations unlock the full potential of their data assets.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 15

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.6/10 (Category avg: 8.4/10)
- **Quality of Support:** 9.2/10 (Category avg: 8.8/10)
- **Ease of Use:** 7.1/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [GridGain Systems, Inc.](https://www.g2.com/sellers/gridgain-systems-inc)
- **Year Founded:** 2007
- **HQ Location:** Foster City, California
- **Twitter:** @gridgain (5,515 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/249196 (119 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 73% Small-Business, 20% Mid-Market


#### Pros & Cons

**Pros:**

- Fast Communication (3 reviews)
- Real-time Analytics (3 reviews)
- Real-time Processing (3 reviews)
- Scalability (3 reviews)
- Ease of Use (2 reviews)

**Cons:**

- Learning Curve (5 reviews)
- Steep Learning Curve (4 reviews)
- Complex Implementation (1 reviews)
- Difficult Setup (1 reviews)
- Expensive (1 reviews)

### 20. [Amazon Kinesis Data Analytics](https://www.g2.com/products/amazon-kinesis-data-analytics/reviews)
  Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time with Apache Flink. Kinesis Data Analytics reduces the complexity of building, managing, and integrating Apache Flink applications with other AWS services. Kinesis Data Analytics takes care of everything required to run streaming applications continuously, and scales automatically to match the volume and throughput of your incoming data. With Kinesis Data Analytics, there are no servers to manage, no minimum fee or setup cost, and you only pay for the resources your streaming applications consume.


  **Average Rating:** 4.1/5.0
  **Total Reviews:** 13

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 7.5/10 (Category avg: 8.9/10)
- **Ease of Admin:** 7.1/10 (Category avg: 8.4/10)
- **Quality of Support:** 7.6/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.7/10)


**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 (2,226,638 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Company Size:** 64% Enterprise, 29% Small-Business


#### Pros & Cons

**Pros:**

- Analytics (1 reviews)
- Cloud Services (1 reviews)
- Cost Saving (1 reviews)
- Easy Integrations (1 reviews)
- Integrations (1 reviews)

**Cons:**

- Complexity (1 reviews)
- Complexity Issues (1 reviews)
- Complex Setup (1 reviews)
- Cost Management (1 reviews)
- Learning Curve (1 reviews)

### 21. [Lenses](https://www.g2.com/products/lenses/reviews)
  Lenses is the Developer Experience for enterprises to work with every Apache Kafka-based technology, in one place. Trusted by Europcar, Adidas, Daimler and Kandji, Lenses simplifies data streaming across hybrid and multi-cloud environments, giving engineers the autonomy to explore, integrate, and govern data -- and modernize their applications with ease: - Efficiently find, explore, process, integrate and govern streams with a data catalog, SQL studio and SQL stream processors - Confidently share, migrate and back up data streams across any cloud or environment with the Kafka to Kafka replicator - Lenses K2K - Reduce the manual burden of Kafka operations with Lenses AI Agents. Product Website www.lenses.io


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 17

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.8/10 (Category avg: 8.4/10)
- **Quality of Support:** 7.4/10 (Category avg: 8.8/10)
- **Ease of Use:** 9.4/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Lenses.io Ltd](https://www.g2.com/sellers/lenses-io-ltd)
- **Company Website:** https://lenses.io/
- **Year Founded:** 2016
- **HQ Location:** London, England
- **Twitter:** @lensesio (732 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/lensesio/ (32 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 47% Enterprise, 35% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (7 reviews)
- User Interface (6 reviews)
- Features (4 reviews)
- Intuitive (4 reviews)
- Data Management (3 reviews)

**Cons:**

- Feature Limitations (5 reviews)
- Limitations (5 reviews)
- Limited Access (3 reviews)
- Missing Features (3 reviews)
- Product Maturity (3 reviews)

### 22. [Mux](https://www.g2.com/products/mux/reviews)
  Mux is video infrastructure that makes it easy for development teams to build video into their products — and do so quickly, reliably, and at global scale. More and more businesses need to have video in their products to stay competitive, and consumers expect those video experiences to be seamless and reliable. But video is complex to build and even harder to scale and maintain. By handling the complexity and tedium of video and analytics infrastructure, Mux lets teams get back to what’s most important: focusing on the things that make their business special. With Mux, developers can build the video experiences their audiences want. Industry leaders like Vimeo, HubSpot, Paramount, PBS, and Substack trust Mux to help them power reliable video experiences that their audiences love, while saving them time and money.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 20

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 7.1/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.1/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.1/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.9/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Mux](https://www.g2.com/sellers/mux)
- **Year Founded:** 2015
- **HQ Location:** San Francisco, California
- **Twitter:** @MuxHQ (6,048 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/7793078 (159 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software
  - **Company Size:** 55% Small-Business, 35% Mid-Market


### 23. [Apache Flink](https://www.g2.com/products/apache-flink/reviews)
  Apache Flink is an open-source stream processing framework for distributed, high-performing, always-available, and accurate data streaming applications.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 16

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.8/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.6/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF (66,154 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/215982/ (2,408 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Enterprise, 31% Small-Business


### 24. [Keen.io](https://www.g2.com/products/keen-io/reviews)
  Keen.io is the complete event data management solution. Our platform can handle all aspects of your event data management, from collection to application. Stream, store, query, and present your data all in one place and get a competitive advantage over the competition. Keen allows you to get a true view of your product usage and interaction through event-based data. We make it easy to dive into the product data you need, allowing you to identify and solve product issues, enhance user experiences, and ship product rollouts faster.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 12

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 8.9/10)
- **Ease of Admin:** 8.0/10 (Category avg: 8.4/10)
- **Quality of Support:** 9.1/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.1/10 (Category avg: 8.7/10)


**Seller Details:**

- **Seller:** [Keen IO](https://www.g2.com/sellers/keen-io)
- **Year Founded:** 2011
- **HQ Location:** San Antonio, Texas
- **Twitter:** @keen_io (23,463 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2612487/ (18 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software
  - **Company Size:** 75% Small-Business, 25% Mid-Market


### 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:**

- **Has the product been a good partner in doing business?:** 7.5/10 (Category avg: 8.9/10)
- **Ease of Admin:** 6.7/10 (Category avg: 8.4/10)
- **Quality of Support:** 8.2/10 (Category avg: 8.8/10)
- **Ease of Use:** 6.8/10 (Category avg: 8.7/10)


**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

[Cloud Data Integration Software](https://www.g2.com/categories/cloud-data-integration)



## Related Categories

- [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution)
- [ETL Tools](https://www.g2.com/categories/etl-tools)
- [Event Stream Processing Software](https://www.g2.com/categories/event-stream-processing)