# Top 10 Amazon Kinesis Data Analytics Alternatives & Competitors **Average Rating:** 4.1/5 **Total Number of Reviews:** 15 The Stream Analytics Software solutions below are the most common alternatives that users and reviewers compare with Amazon Kinesis Data Analytics. Other important factors to consider when researching alternatives to Amazon Kinesis Data Analytics include monitoring. The best overall Amazon Kinesis Data Analytics alternative is SAS Viya. Other similar apps like Amazon Kinesis Data Analytics are HubSpot Data Hub, Tealium, Spotfire Analytics, and Aiven for Apache Kafka. Amazon Kinesis Data Analytics alternatives can be found in [Stream Analytics Software](https://www.g2.com/categories/stream-analytics) but may also be in [iPaaS Software](https://www.g2.com/categories/ipaas) or [Event Stream Processing Software](https://www.g2.com/categories/event-stream-processing). ## Best Paid & Free Alternatives to Amazon Kinesis Data Analytics - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) - [Tealium](https://www.g2.com/products/tealium-2026-08-12/reviews) - [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) - [Aiven for Apache Kafka](https://www.g2.com/products/aiven-for-apache-kafka/reviews) - [Evam](https://www.g2.com/products/evam/reviews) - [Tray.ai](https://www.g2.com/products/tray-ai/reviews) - [Cloudera](https://www.g2.com/products/cloudera/reviews) - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) - [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) ## Top 10 Alternatives to Amazon Kinesis Data Analytics Recently Reviewed By G2 Community Browse options below. Based on reviewer data, you can see how Amazon Kinesis Data Analytics stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Consumer Electronics, and Financial Services, and find the best product for your business. ### 1. [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) By SAS Institute Inc. **Average Rating:** 4.3/5 **Total Reviews:** 818 As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions. Reviewers say compared to Amazon Kinesis Data Analytics, SAS Viya is: - Better at meeting requirements - More expensive - Better at support Categories in common with Amazon Kinesis Data Analytics: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing) **Compare:** [Amazon Kinesis Data Analytics vs SAS Viya](https://www.g2.com/compare/amazon-kinesis-data-analytics-vs-sas-sas-viya) **Compare SAS Viya with other alternatives:** - [SAS Viya vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-sas-sas-viya) - [SAS Viya vs Tealium](https://www.g2.com/compare/sas-sas-viya-vs-tealium-2026-08-12) - [SAS Viya vs Spotfire Analytics](https://www.g2.com/compare/sas-sas-viya-vs-spotfire-analytics) - [SAS Viya vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-sas-sas-viya) - [SAS Viya vs Evam](https://www.g2.com/compare/evam-vs-sas-sas-viya) - [SAS Viya vs Tray.ai](https://www.g2.com/compare/sas-sas-viya-vs-tray-ai) - [SAS Viya vs Cloudera](https://www.g2.com/compare/cloudera-vs-sas-sas-viya) - [SAS Viya vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-sas-sas-viya) - [SAS Viya vs IBM StreamSets](https://www.g2.com/compare/ibm-streamsets-vs-sas-sas-viya) ### 2. [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) By HubSpot **Average Rating:** 4.5/5 **Total Reviews:** 578 HubSpot Operations Hub allows you to keep all your contacts in 2-Way, Real Time Sync no matter if you use (Gmail/Outlook, Salesforce, Pipedrive, Constant Contact, Prosperworks, HubSpot, MailChimp or ActiveCampaign to name a few). Reviewers say compared to Amazon Kinesis Data Analytics, HubSpot Data Hub is: - Better at meeting requirements - Easier to set up - Better at support Categories in common with Amazon Kinesis Data Analytics: [Stream Analytics](https://www.g2.com/categories/stream-analytics) **Compare:** [Amazon Kinesis Data Analytics vs HubSpot Data Hub](https://www.g2.com/compare/amazon-kinesis-data-analytics-vs-hubspot-data-hub) **Compare HubSpot Data Hub with other alternatives:** - [HubSpot Data Hub vs SAS Viya](https://www.g2.com/compare/hubspot-data-hub-vs-sas-sas-viya) - [HubSpot Data Hub vs Tealium](https://www.g2.com/compare/hubspot-data-hub-vs-tealium-2026-08-12) - [HubSpot Data Hub vs Spotfire Analytics](https://www.g2.com/compare/hubspot-data-hub-vs-spotfire-analytics) - [HubSpot Data Hub vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-hubspot-data-hub) - [HubSpot Data Hub vs Evam](https://www.g2.com/compare/evam-vs-hubspot-data-hub) - [HubSpot Data Hub vs Tray.ai](https://www.g2.com/compare/hubspot-data-hub-vs-tray-ai) - [HubSpot Data Hub vs Cloudera](https://www.g2.com/compare/cloudera-vs-hubspot-data-hub) - [HubSpot Data Hub vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-hubspot-data-hub) - [HubSpot Data Hub vs IBM StreamSets](https://www.g2.com/compare/hubspot-data-hub-vs-ibm-streamsets) ### 3. [Tealium](https://www.g2.com/products/tealium-2026-08-12/reviews) By Tealium **Average Rating:** 4.3/5 **Total Reviews:** 479 Tealium AudienceStream™ is the market-leading Customer Data Platform, combining robust audience management and data enrichment capabilities resulting in unified customer profiles and the ability to take immediate, relevant action. Reviewers say compared to Amazon Kinesis Data Analytics, Tealium is: - Better at support - Better at meeting requirements - More expensive Categories in common with Amazon Kinesis Data Analytics: [Stream Analytics](https://www.g2.com/categories/stream-analytics) **Compare:** [Amazon Kinesis Data Analytics vs Tealium](https://www.g2.com/compare/amazon-kinesis-data-analytics-vs-tealium-2026-08-12) **Compare Tealium with other alternatives:** - [Tealium vs SAS Viya](https://www.g2.com/compare/sas-sas-viya-vs-tealium-2026-08-12) - [Tealium vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-tealium-2026-08-12) - [Tealium vs Spotfire Analytics](https://www.g2.com/compare/spotfire-analytics-vs-tealium-2026-08-12) - [Tealium vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-tealium-2026-08-12) - [Tealium vs Evam](https://www.g2.com/compare/evam-vs-tealium-2026-08-12) - [Tealium vs Tray.ai](https://www.g2.com/compare/tealium-2026-08-12-vs-tray-ai) - [Tealium vs Cloudera](https://www.g2.com/compare/cloudera-vs-tealium-2026-08-12) - [Tealium vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-tealium-2026-08-12) - [Tealium vs IBM StreamSets](https://www.g2.com/compare/ibm-streamsets-vs-tealium-2026-08-12) ### 4. [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) By Spotfire **Average Rating:** 4.2/5 **Total Reviews:** 362 Self-service data discovery. Fastest to actionable insight. Collaborative, predictive, event-driven data analysis - free from IT. Reviewers say compared to Amazon Kinesis Data Analytics, Spotfire Analytics is: - More expensive - Better at meeting requirements - Easier to set up Categories in common with Amazon Kinesis Data Analytics: [Stream Analytics](https://www.g2.com/categories/stream-analytics) **Compare:** [Amazon Kinesis Data Analytics vs Spotfire Analytics](https://www.g2.com/compare/amazon-kinesis-data-analytics-vs-spotfire-analytics) **Compare Spotfire Analytics with other alternatives:** - [Spotfire Analytics vs SAS Viya](https://www.g2.com/compare/sas-sas-viya-vs-spotfire-analytics) - [Spotfire Analytics vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-spotfire-analytics) - [Spotfire Analytics vs Tealium](https://www.g2.com/compare/spotfire-analytics-vs-tealium-2026-08-12) - [Spotfire Analytics vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-spotfire-analytics) - [Spotfire Analytics vs Evam](https://www.g2.com/compare/evam-vs-spotfire-analytics) - [Spotfire Analytics vs Tray.ai](https://www.g2.com/compare/spotfire-analytics-vs-tray-ai) - [Spotfire Analytics vs Cloudera](https://www.g2.com/compare/cloudera-vs-spotfire-analytics) - [Spotfire Analytics vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-spotfire-analytics) - [Spotfire Analytics vs IBM StreamSets](https://www.g2.com/compare/ibm-streamsets-vs-spotfire-analytics) ### 5. [Aiven for Apache Kafka](https://www.g2.com/products/aiven-for-apache-kafka/reviews) By Aiven **Average Rating:** 4.3/5 **Total Reviews:** 248 Aiven for Apache Kafka is a fully managed streaming platform, deployable in the cloud of your choice. Snap it into your existing workflows with the click of a button, automate away the mundane tasks, and focus on building your core apps. Reviewers say compared to Amazon Kinesis Data Analytics, Aiven for Apache Kafka is: - Easier to set up - Better at meeting requirements - More expensive Categories in common with Amazon Kinesis Data Analytics: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing) **Compare:** [Amazon Kinesis Data Analytics vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-amazon-kinesis-data-analytics) **Compare Aiven for Apache Kafka with other alternatives:** - [Aiven for Apache Kafka vs SAS Viya](https://www.g2.com/compare/aiven-for-apache-kafka-vs-sas-sas-viya) - [Aiven for Apache Kafka vs HubSpot Data Hub](https://www.g2.com/compare/aiven-for-apache-kafka-vs-hubspot-data-hub) - [Aiven for Apache Kafka vs Tealium](https://www.g2.com/compare/aiven-for-apache-kafka-vs-tealium-2026-08-12) - [Aiven for Apache Kafka vs Spotfire Analytics](https://www.g2.com/compare/aiven-for-apache-kafka-vs-spotfire-analytics) - [Aiven for Apache Kafka vs Evam](https://www.g2.com/compare/aiven-for-apache-kafka-vs-evam) - [Aiven for Apache Kafka vs Tray.ai](https://www.g2.com/compare/aiven-for-apache-kafka-vs-tray-ai) - [Aiven for Apache Kafka vs Cloudera](https://www.g2.com/compare/aiven-for-apache-kafka-vs-cloudera) - [Aiven for Apache Kafka vs Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-apache-kafka) - [Aiven for Apache Kafka vs IBM StreamSets](https://www.g2.com/compare/aiven-for-apache-kafka-vs-ibm-streamsets) ### 6. [Evam](https://www.g2.com/products/evam/reviews) By EVAM **Average Rating:** 4.8/5 **Total Reviews:** 227 evamX is a real-time customer engagement platform designed to help businesses create personalized, context-aware journeys across digital and offline channels. With its no-code scenario designer, AI-powered decisioning, and advanced stream analytics, evamX enables marketing, CX, and digital teams to act instantly on customer behavior and data. Whether it’s triggering next-best actions, sending relevant offers, or managing omnichannel campaigns, evamX empowers enterprises to boost engagement, increase retention, and drive measurable business results. Reviewers say compared to Amazon Kinesis Data Analytics, Evam is: - Better at meeting requirements - Better at support - Easier to set up Categories in common with Amazon Kinesis Data Analytics: [Stream Analytics](https://www.g2.com/categories/stream-analytics) **Compare:** [Amazon Kinesis Data Analytics vs Evam](https://www.g2.com/compare/amazon-kinesis-data-analytics-vs-evam) **Compare Evam with other alternatives:** - [Evam vs SAS Viya](https://www.g2.com/compare/evam-vs-sas-sas-viya) - [Evam vs HubSpot Data Hub](https://www.g2.com/compare/evam-vs-hubspot-data-hub) - [Evam vs Tealium](https://www.g2.com/compare/evam-vs-tealium-2026-08-12) - [Evam vs Spotfire Analytics](https://www.g2.com/compare/evam-vs-spotfire-analytics) - [Evam vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-evam) - [Evam vs Tray.ai](https://www.g2.com/compare/evam-vs-tray-ai) - [Evam vs Cloudera](https://www.g2.com/compare/cloudera-vs-evam) - [Evam vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-evam) - [Evam vs IBM StreamSets](https://www.g2.com/compare/evam-vs-ibm-streamsets) ### 7. [Tray.ai](https://www.g2.com/products/tray-ai/reviews) By Tray.io **Average Rating:** 4.5/5 **Total Reviews:** 158 The Tray Platform empowers anyone to do more, faster by harnessing automation with the leading, low-code general automation platform. Reviewers say compared to Amazon Kinesis Data Analytics, Tray.ai is: - Better at meeting requirements - More expensive - Better at support Categories in common with Amazon Kinesis Data Analytics: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing) **Compare:** [Amazon Kinesis Data Analytics vs Tray.ai](https://www.g2.com/compare/amazon-kinesis-data-analytics-vs-tray-ai) **Compare Tray.ai with other alternatives:** - [Tray.ai vs SAS Viya](https://www.g2.com/compare/sas-sas-viya-vs-tray-ai) - [Tray.ai vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-tray-ai) - [Tray.ai vs Tealium](https://www.g2.com/compare/tealium-2026-08-12-vs-tray-ai) - [Tray.ai vs Spotfire Analytics](https://www.g2.com/compare/spotfire-analytics-vs-tray-ai) - [Tray.ai vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-tray-ai) - [Tray.ai vs Evam](https://www.g2.com/compare/evam-vs-tray-ai) - [Tray.ai vs Cloudera](https://www.g2.com/compare/cloudera-vs-tray-ai) - [Tray.ai vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-tray-ai) - [Tray.ai vs IBM StreamSets](https://www.g2.com/compare/ibm-streamsets-vs-tray-ai) ### 8. [Cloudera](https://www.g2.com/products/cloudera/reviews) By Cloudera **Average Rating:** 4.1/5 **Total Reviews:** 136 Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise. Reviewers say compared to Amazon Kinesis Data Analytics, Cloudera is: - Better at meeting requirements - More expensive - Easier to set up Categories in common with Amazon Kinesis Data Analytics: [Stream Analytics](https://www.g2.com/categories/stream-analytics) **Compare:** [Amazon Kinesis Data Analytics vs Cloudera](https://www.g2.com/compare/amazon-kinesis-data-analytics-vs-cloudera) **Compare Cloudera with other alternatives:** - [Cloudera vs SAS Viya](https://www.g2.com/compare/cloudera-vs-sas-sas-viya) - [Cloudera vs HubSpot Data Hub](https://www.g2.com/compare/cloudera-vs-hubspot-data-hub) - [Cloudera vs Tealium](https://www.g2.com/compare/cloudera-vs-tealium-2026-08-12) - [Cloudera vs Spotfire Analytics](https://www.g2.com/compare/cloudera-vs-spotfire-analytics) - [Cloudera vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-cloudera) - [Cloudera vs Evam](https://www.g2.com/compare/cloudera-vs-evam) - [Cloudera vs Tray.ai](https://www.g2.com/compare/cloudera-vs-tray-ai) - [Cloudera vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-cloudera) - [Cloudera vs IBM StreamSets](https://www.g2.com/compare/cloudera-vs-ibm-streamsets) ### 9. [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) By The Apache Software Foundation **Average Rating:** 4.5/5 **Total Reviews:** 132 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. Reviewers say compared to Amazon Kinesis Data Analytics, Apache Kafka is: - Better at meeting requirements - Easier to set up - More usable Categories in common with Amazon Kinesis Data Analytics: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing), [Stream Analytics](https://www.g2.com/categories/stream-analytics) **Compare:** [Amazon Kinesis Data Analytics vs Apache Kafka](https://www.g2.com/compare/amazon-kinesis-data-analytics-vs-apache-kafka) **Compare Apache Kafka with other alternatives:** - [Apache Kafka vs SAS Viya](https://www.g2.com/compare/apache-kafka-vs-sas-sas-viya) - [Apache Kafka vs HubSpot Data Hub](https://www.g2.com/compare/apache-kafka-vs-hubspot-data-hub) - [Apache Kafka vs Tealium](https://www.g2.com/compare/apache-kafka-vs-tealium-2026-08-12) - [Apache Kafka vs Spotfire Analytics](https://www.g2.com/compare/apache-kafka-vs-spotfire-analytics) - [Apache Kafka vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-apache-kafka) - [Apache Kafka vs Evam](https://www.g2.com/compare/apache-kafka-vs-evam) - [Apache Kafka vs Tray.ai](https://www.g2.com/compare/apache-kafka-vs-tray-ai) - [Apache Kafka vs Cloudera](https://www.g2.com/compare/apache-kafka-vs-cloudera) - [Apache Kafka vs IBM StreamSets](https://www.g2.com/compare/apache-kafka-vs-ibm-streamsets) ### 10. [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) By IBM **Average Rating:** 4.0/5 **Total Reviews:** 116 StreamSets DataOps Platform is an end-to-end data engineering platform to design, deploy, operate and optimize data pipelines to deliver continuous data. StreamSets offers a single pane of glass for batch, streaming, CDC, ETL and ML pipelines with built-in data drift protection for full transparency and control across hybrid, on-premise and multi-cloud environments. Reviewers say compared to Amazon Kinesis Data Analytics, IBM StreamSets is: - More expensive - Better at meeting requirements - Easier to set up Categories in common with Amazon Kinesis Data Analytics: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing), [Stream Analytics](https://www.g2.com/categories/stream-analytics) **Compare:** [Amazon Kinesis Data Analytics vs IBM StreamSets](https://www.g2.com/compare/amazon-kinesis-data-analytics-vs-ibm-streamsets) **Compare IBM StreamSets with other alternatives:** - [IBM StreamSets vs SAS Viya](https://www.g2.com/compare/ibm-streamsets-vs-sas-sas-viya) - [IBM StreamSets vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-ibm-streamsets) - [IBM StreamSets vs Tealium](https://www.g2.com/compare/ibm-streamsets-vs-tealium-2026-08-12) - [IBM StreamSets vs Spotfire Analytics](https://www.g2.com/compare/ibm-streamsets-vs-spotfire-analytics) - [IBM StreamSets vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-ibm-streamsets) - [IBM StreamSets vs Evam](https://www.g2.com/compare/evam-vs-ibm-streamsets) - [IBM StreamSets vs Tray.ai](https://www.g2.com/compare/ibm-streamsets-vs-tray-ai) - [IBM StreamSets vs Cloudera](https://www.g2.com/compare/cloudera-vs-ibm-streamsets) - [IBM StreamSets vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-ibm-streamsets) --- ## Amazon Kinesis Data Analytics Alternatives FAQs ### How does Amazon Kinesis Data Analytics compare to SAS Viya? According to G2 data, [Amazon Kinesis Data Analytics](https://www.g2.com/products/amazon-kinesis-data-analytics/reviews) has an average rating of 4.1/5 from 14 reviews, while [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) holds a higher average rating of 4.3/5 based on 800 reviews. SAS Viya leads in meeting requirements with a score of 8.5 versus 7.4 for Amazon Kinesis Data Analytics, a 1.1-point advantage. In usability, Amazon Kinesis Data Analytics scores slightly higher at 8.3 compared to SAS Viya's 8.2. SAS Viya also outperforms in support (8.4 vs. 7.6) and ease of setup (8.0 vs. no data for Amazon Kinesis). Users praise Amazon Kinesis Data Analytics for its easy integrations, cost efficiency, real-time analytics, cloud services, and security features, but note challenges with complexity, setup, learning curve, and limited customization. In contrast, SAS Viya is highly regarded for ease of use (234 mentions), extensive features (175 mentions), advanced analytics, data visualization, performance efficiency, flexibility, scalability, and strong integration with open-source tools like Python and R. However, SAS Viya users report a steep learning curve (105 mentions), complexity (103 mentions), high cost (78 mentions), and setup difficulties (44 mentions). Overall, SAS Viya is favored for its comprehensive analytics capabilities, scalability, and enterprise-grade features, while Amazon Kinesis Data Analytics is noted for simpler integration and cost-effectiveness but with less feature depth and customization. ### What are the best alternatives to Amazon Kinesis Data Analytics? The best alternatives to Amazon Kinesis Data Analytics include [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) (4.3/5 stars, 800 reviews), [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) (4.5/5 stars, 576 reviews), [Tealium Customer Data Hub](https://www.g2.com/products/tealium-customer-data-hub/reviews) (4.3/5 stars, 475 reviews), and [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) (4.2/5 stars, 362 reviews). These platforms offer stronger support, better usability, and more comprehensive feature sets, including AI integration, real-time data activation, and advanced visualization. ### What features do alternatives offer that Amazon Kinesis Data Analytics does not? Amazon Kinesis Data Analytics lacks advanced AI and machine learning integration, comprehensive real-time customer data unification, and extensive out-of-the-box data visualization and predictive analytics capabilities found in alternatives. ### Which Stream Analytics tools do reviewers recommend instead of Amazon Kinesis Data Analytics? Reviewers recommend [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) for its powerful AI, analytics, and cloud-native scalability with 800 reviews praising its ease of use and integration. [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) is favored for its real-time, bidirectional data sync and user-friendly interface, supported by 576 reviews highlighting its automation and data quality features. [Tealium Customer Data Hub](https://www.g2.com/products/tealium-customer-data-hub/reviews) is recommended for its robust real-time customer data unification, extensive integrations, and audience segmentation capabilities, with 475 reviews emphasizing its flexibility and activation power. [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) is noted for its advanced data visualization, predictive analytics, and integration with R and Python, supported by 362 reviews praising its interactive dashboards and ease of use. ### Why do users choose SAS Viya over Amazon Kinesis Data Analytics? Users choose [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) over Amazon Kinesis Data Analytics primarily for its comprehensive analytics capabilities and enterprise readiness. SAS Viya offers a unified, cloud-native platform that integrates data preparation, advanced analytics, AI, and visualization, supporting multiple programming languages including SAS, Python, and R. It excels in handling large datasets efficiently with in-memory processing and provides strong governance, scalability, and performance efficiency, which are critical for regulated and large-scale environments. With 234 mentions of ease of use and 175 mentions of rich features, users appreciate its intuitive interface, drag-and-drop modeling, and seamless integration with open-source tools. SAS Viya’s advanced machine learning and AI capabilities, along with robust support (8.4 vs. 7.6), further differentiate it. Despite a steep learning curve and higher cost cited by 78 users, organizations prioritize SAS Viya’s ability to accelerate analytics lifecycles, improve decision-making, and support complex workflows. Its cloud-native architecture and scalability make it suitable for enterprises seeking a powerful, all-in-one analytics solution that outperforms Amazon Kinesis Data Analytics in meeting requirements by 1.1 points and in support by 0.8 points according to G2 data. ## Explore Articles - [What CLM software works well for in-house legal teams at mid-size companies that need contract tracking but not a full enterprise procurement suite?](https://www.g2.com/discussions/what-clm-software-works-well-for-in-house-legal-teams-at-mid-size-companies-that-need-contract-tracking-but-not-a-full-enterprise-procurement-suite) - [What are the highest rated regulatory information management systems for enterprise teams that need to pass audits and maintain continuous compliance?](https://www.g2.com/discussions/what-are-the-highest-rated-regulatory-information-management-systems-for-enterprise-teams-that-need-to-pass-audits-and-maintain-continuous-compliance ) - [What are the best museum management platforms for rapid implementation and quick team adoption?](https://www.g2.com/discussions/what-are-the-best-museum-management-platforms-for-rapid-implementation-and-quick-team-adoption) - [Top tools for managing construction timelines](https://www.g2.com/discussions/top-tools-for-managing-construction-timelines) - [Which auditing services platforms have strong reliability and uptime ratings based on customer reviews?](https://www.g2.com/discussions/which-auditing-services-platforms-have-strong-reliability-and-uptime-ratings-based-on-customer-reviews) - [Which enterprise-grade digital advertising intelligence platforms work best for brands running heavy programmatic buys that need competitive spend data without paying for a custom data vendor?](https://www.g2.com/discussions/which-enterprise-grade-digital-advertising-intelligence-platforms-work-best-for-brands-running-heavy-programmatic-buys-that-need-competitive-spend-data-without-paying-for-a-custom-data-vendor ) ## Spotlight Categories - [Chatbots Software](https://www.g2.com/categories/chatbots) - [SEO Tools](https://www.g2.com/categories/seo-tools) - [Experience Management Software](https://www.g2.com/categories/experience-management)