# Best Stream Analytics Software for Medium-Sized Businesses *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)* Products classified in the overall Stream Analytics category are similar in many regards and help companies of all sizes solve their business problems. However, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized Business Stream Analytics to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Medium-Sized Business Stream Analytics category. In addition to qualifying for inclusion in the Stream Analytics Software category, to qualify for inclusion in the Medium-Sized Business Stream Analytics Software category, a product must have at least 10 reviews left by a reviewer from a medium-sized business. ## 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. --- **Sponsored** ### Alteryx Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial. [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=620&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=neighbor_category&secure%5Bplacement_resource_ids%5D%5B%5D=1181&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=989&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%2Fmid-market&secure%5Btoken%5D=e5a7012357ce5ce11f49ba037679daf99dcc6ce2a25a6de9456d09ed305f1f10&secure%5Burl%5D=&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:** 557 **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 (785,747 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, 29% 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. [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:** 210 **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:** 9.3/10 (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:** 37% 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) ### 3. [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:** 95 **User Satisfaction Scores:** - **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 8.9/10) - **Ease of Admin:** 7.5/10 (Category avg: 8.4/10) - **Quality of Support:** 8.1/10 (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 (64,541 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) ### 4. [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 (2,223,984 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) ### 5. [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 (709,023 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) ### 6. [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:** 130 **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 (106,618 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, 33% Small-Business ### 7. [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:** 95 **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 (2,223,984 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, 32% Enterprise ### 8. [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:** 439 **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 (4,740 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/211380/ (578 employees on LinkedIn®) **Reviewer Demographics:** - **Who Uses This:** Web Analyst - **Top Industries:** Financial Services, Retail - **Company Size:** 49% Enterprise, 29% Mid-Market #### Pros & Cons **Pros:** - Ease of Use (59 reviews) - Data Management (56 reviews) - Integrations (53 reviews) - Real-Time Processing (50 reviews) - Easy Integration (48 reviews) **Cons:** - Learning Curve (64 reviews) - Difficult Learning (47 reviews) - Complexity (42 reviews) - Learning Difficulty (33 reviews) - Steep Learning Curve (33 reviews) ### 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 (2,223,984 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Reviewer Demographics:** - **Top Industries:** Information Technology and Services - **Company Size:** 42% Mid-Market, 35% Small-Business ### 10. [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:** 110 **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 (43,597 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, 35% 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) ### 11. [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) ### 12. [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 (66,116 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) ## 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)