# Best Event Stream Processing Software *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)* Event stream processing software allows for the processing of data on the fly, enabling users to properly store, manage, and analyze their streaming data. In contrast to batch processing which focuses on historical data, stream processing allows for the processing of data in real time. Event stream processing software gives users the ability to examine how their data has changed over time. It also helps users by providing insight into anomalies and trends in the data. Event stream processing software, with processing at its core, provides users with the capabilities they need to integrate their data, for purposes such as analytics and application development. If the user is focused on data analysis, above and beyond processing, [stream analytics software](https://www.g2.com/categories/stream-analytics) is a good solution to consider. To qualify for inclusion in the Event Stream Processing category, a product must: - Connect to a wide range of core systems and provide the ability to process the data in real time - Offer the ability to analyze the processing of data to ascertain its performance - Allow users to visualize the data flow and ensure that data and data delivery is validated ## G2 Grid® for Event Stream Processing Software ![G2 Grid® for Event Stream Processing Software plotting products by satisfaction and market presence](https://www.g2.com/categories/event-stream-processing/grids.png?focus%5B%5D=129332&focus%5B%5D=161674&focus%5B%5D=87431&focus%5B%5D=17348&focus%5B%5D=40563&focus%5B%5D=10735&focus%5B%5D=103754&focus%5B%5D=42780) Highlighted products: Aiven for Apache Kafka, Redpanda Streaming, Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, Google Cloud Dataflow, Confluent, IBM Event Streams, and Apache Kafka. Underlying data: [Grid® JSON](https://www.g2.com/categories/event-stream-processing/grids.json?focus%5B%5D=aiven-for-apache-kafka&focus%5B%5D=redpanda-streaming&focus%5B%5D=amazon-managed-streaming-for-apache-kafka-amazon-msk&focus%5B%5D=aws-amazon-kinesis-data-streams&focus%5B%5D=google-cloud-dataflow&focus%5B%5D=confluent&focus%5B%5D=ibm-event-streams&focus%5B%5D=apache-kafka) ## How Many Event Stream Processing Software Products Does G2 Track? **Total Products under this Category:** 70 ### Category Stats (Jul 2026) - **Average Rating**: 4.38/5 (↑0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: PubNub (+0.96%) - Among all products in this category, PubNub recorded the largest rating increase compared to last month *Last updated: July 18, 2026* ## How Does G2 Rank Event Stream Processing Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 2,400+ Authentic Reviews - 70+ 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. ## Which Event Stream Processing Software Is Best for Your Use Case? - **Leader:** [Aiven for Apache Kafka](https://www.g2.com/products/aiven-for-apache-kafka/reviews) - **Highest Performer:** [Ably Realtime](https://www.g2.com/products/ably-realtime/reviews) - **Easiest to Use:** [Redpanda Streaming](https://www.g2.com/products/redpanda-streaming/reviews) - **Top Trending:** [Redpanda Streaming](https://www.g2.com/products/redpanda-streaming/reviews) - **Best Free Software:** [Aiven for Apache Kafka](https://www.g2.com/products/aiven-for-apache-kafka/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=1509&secure%5Bchosen_at%5D=2026-07-18T22%3A36%3A11Z&secure%5Bdisplayable_resource_id%5D=1509&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1509&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=133071&secure%5Bresource_id%5D=1509&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fevent-stream-processing&secure%5Btoken%5D=96e6978ef3ed81626bfa4a4fec3a3e4a3de35f337b2575ab29408bcdbaa1681b&secure%5Burl%5D=http%3A%2F%2Ffactorhouse.io%2F&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated Event Stream Processing Software Products in 2026? ### 1. [Aiven for Apache Kafka](https://www.g2.com/products/aiven-for-apache-kafka/reviews) Aiven for Apache Kafka® is a fully managed distributed event streaming service, that can be deployed in the cloud of your choice. Aiven for Apache Kafka is ideal for event-driven applications, near-real-time data transfer and data pipelines, streaming analytics, and any use case that requires moving huge amounts of real-time data between applications and systems. With Aiven for Apache Kafka you can set up fully managed Kafka clusters in less than 10 minutes — using the Aiven web console or programmatically via Aiven’s API, CLI, Terraform provider or Kubernetes operator. You can easily connect it to your existing tech stack with a fully managed Apache Kafka Connect service with over 30+ connectors. Monitoring your clusters with logs and metrics is also available out of the box via multiple service integrations. Get access to a complete open source ecosystem of streaming technologies and tools around Apache Kafka to fully manage, and operate a real time data infrastructure at scale using: Aiven for Apache Kafka: the core event streaming framework allowing you to transport data within your organization Aiven for Apache Kafka Connect: a fully managed, fully open source, distributed service enabling you to integrate your existing data sources and sinks seamlessly with Aiven for Apache Kafka. Aiven for Apache Kafka MirrorMaker2: a fully managed, fully open source distributed data replication service for cluster to cluster data replication, disaster recovery and geo proximity across multiple regions. Karapace®: a fully open source Kafka Schema Registry that applications can access to serialize and deserialize messages with popular formats such as AVRO, Protobuf and JSON. Aiven for Apache Flink®: a fully managed, fully open source streaming SQL engine for stateful stream processing over your data streams. Klaw: an open source data governance tool that helps enterprises exercise Apache Kafka® topic and schema governance. Aiven is ISO / IEC 27001: 2013, SOC 2, HIPAA, GDPR, and CCPA compliant. Check our pricing and try our free 30-day trial at https://aiven.io/kafka. **Average Rating:** 4.3/5.0 **Total Reviews:** 243 **How Do G2 Users Rate Aiven for Apache Kafka?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **Data Sources:** 8.4/10 (Category avg: 8.6/10) - **Data Processing:** 8.4/10 (Category avg: 8.8/10) - **Real-Time Processing:** 8.5/10 (Category avg: 9.1/10) **Who Is the Company Behind Aiven for Apache Kafka?** - **Seller:** [Aiven](https://www.g2.com/sellers/aiven) - **Year Founded:** 2016 - **HQ Location:** Helsinki, Southern Finland - **Twitter:** @aiven_io (4,104 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10294984/ (464 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 45% Mid-Market, 29% Small-Business #### What Are Aiven for Apache Kafka's Pros and Cons? **Pros:** - Setup Ease (29 reviews) - Ease of Use (23 reviews) - Scaling (17 reviews) - Management Ease (14 reviews) - Reliability (13 reviews) **Cons:** - Expensive (27 reviews) - Poor Documentation (8 reviews) - Limited Features (7 reviews) - Complexity (6 reviews) - Not User-Friendly (5 reviews) ### What Do G2 Reviewers Say About Aiven for Apache Kafka? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **easy setup** of Aiven for Apache Kafka, simplifying the start of their real-time data projects. - Users commend the **ease of use** of Aiven for Apache Kafka, appreciating the straightforward setup and minimal training needed. - Users appreciate the **smooth scaling** of Aiven for Apache Kafka, enhancing their efficiency without infrastructure concerns. - Users appreciate the **management ease** of Aiven for Apache Kafka, enabling quick deployment and hassle-free operation. - Users value the **high reliability** of Aiven for Apache Kafka, benefiting from a fully managed, easy-to-use platform. **Cons:** - Users find Aiven for Apache Kafka **expensive** as costs rise sharply with increased usage, complicating scalability. - Users express frustration with the **poor documentation** , which complicates advanced configurations and slows down the process. - Users note the **limited features** for advanced configurations compared to self-managed setups, impacting their control and flexibility. - Users find the **operational complexity** of Aiven for Apache Kafka overwhelming, requiring dedicated resources and extensive manual work. - Users find Aiven for Apache Kafka **not user-friendly** , citing complexities in configurations and minor UI glitches affecting usability. #### What Are Recent G2 Reviews of Aiven for Apache Kafka? **"[Aiven Keeps Us on Top with Fast Setup, Terraform Support, and Zero-Downtime Upgrades](https://www.g2.com/survey_responses/aiven-for-apache-kafka-review-12403301)"** **Rating:** 5.0/5.0 stars *— Prasanth K.* [Read full review](https://www.g2.com/survey_responses/aiven-for-apache-kafka-review-12403301) --- **"[Streamlined Kafka Management with Built-In Integrations](https://www.g2.com/survey_responses/aiven-for-apache-kafka-review-12593412)"** **Rating:** 4.0/5.0 stars *— Takwa A.* [Read full review](https://www.g2.com/survey_responses/aiven-for-apache-kafka-review-12593412) --- #### What Are G2 Users Discussing About Aiven for Apache Kafka? - [What is Aiven for Apache Kafka used for?](https://www.g2.com/discussions/what-is-aiven-for-apache-kafka-used-for) - [What is Apache Kafka connect?](https://www.g2.com/discussions/what-is-apache-kafka-connect) - [What is Apache Kafka architecture?](https://www.g2.com/discussions/what-is-apache-kafka-architecture) - [What is Apache Kafka good for?](https://www.g2.com/discussions/what-is-apache-kafka-good-for) - [What are the characteristics of Apache Kafka?](https://www.g2.com/discussions/what-are-the-characteristics-of-apache-kafka) - 1 comment ### 2. [Redpanda Streaming](https://www.g2.com/products/redpanda-streaming/reviews) Redpanda is the streaming platform that simplifies building real-time AI applications. It’s a simple, fast, and secure solution that lets modern engineering teams ship streaming, analytics, and agentic AI apps without the complexity or cost of traditional Kafka-based systems. It comes with 300+ built-in connectors, Kafka-API compatibility and industry-leading data and AI governance with a Bring-Your- Own-Cloud (BYOC) deployment option. Global leaders including Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone and 2 of the top 5 banks in the U.S. rely on Redpanda to process hundreds of terabytes of data a day. Backed by premier venture investors Lightspeed, GV and Haystack VC, Redpanda is a diverse, people-first organization with teams distributed around the globe. **Average Rating:** 4.7/5.0 **Total Reviews:** 47 **How Do G2 Users Rate Redpanda Streaming?** - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 8.9/10) - **Data Sources:** 9.8/10 (Category avg: 8.6/10) - **Data Processing:** 9.9/10 (Category avg: 8.8/10) - **Real-Time Processing:** 9.6/10 (Category avg: 9.1/10) **Who Is the Company Behind Redpanda Streaming?** - **Seller:** [Redpanda Data](https://www.g2.com/sellers/redpanda-data) - **Company Website:** https://redpanda.com/ - **Year Founded:** 2019 - **HQ Location:** San Francisco, US - **Twitter:** @redpandadata (5,337 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/redpanda-data/ (205 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Financial Services - **Company Size:** 64% Mid-Market, 19% Small-Business #### What Are Redpanda Streaming's Pros and Cons? **Pros:** - Customer Support (14 reviews) - Ease of Use (13 reviews) - Performance (8 reviews) - Speed (7 reviews) - Features (6 reviews) **Cons:** - Complexity (2 reviews) - Data Management Issues (2 reviews) - Missing Features (2 reviews) - Poor Documentation (2 reviews) - Poor UI Design (2 reviews) ### What Do G2 Reviewers Say About Redpanda Streaming? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **responsive customer support** from Redpanda, making onboarding and inquiries a smooth experience. - Users find Redpanda Streaming to be **easy to use** , allowing quick setup and seamless integration with other services. - Users highlight the **exceptional performance** of Redpanda, enhancing speed and reliability while simplifying Kafka deployments. - Users highlight the **speed** of Redpanda Streaming, enhancing development and ensuring reliable performance for critical systems. - Users commend Redpanda's **reliability and ease of implementation** , enhancing operational efficiency and development speed significantly. **Cons:** - Users find the **web interface complex** for advanced tasks, often relying on the CLI for better control. - Users often face **data management issues** due to incomplete documentation and the complexities of setup and integration. - Users note the **missing features** in Redpanda Streaming, particularly around programmatic setup and incomplete documentation. - Users find the **poor documentation** challenging, making it difficult to fully utilize Redpanda Streaming's features. - Users experience **poor UI design** in Redpanda Streaming, often needing to rely on the CLI for complex tasks. #### What Are Recent G2 Reviews of Redpanda Streaming? **"[Modern Kafka-compatible streaming with strong performance and support](https://www.g2.com/survey_responses/redpanda-streaming-review-12905041)"** **Rating:** 4.0/5.0 stars *— Adrià G.* [Read full review](https://www.g2.com/survey_responses/redpanda-streaming-review-12905041) --- **"[Clean and AI Documentation with Friendly Human Support Team!](https://www.g2.com/survey_responses/redpanda-streaming-review-12904484)"** **Rating:** 5.0/5.0 stars *— Aleksandra S.* [Read full review](https://www.g2.com/survey_responses/redpanda-streaming-review-12904484) --- ### 3. [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:** 22 **How Do G2 Users Rate Amazon Managed Streaming for Apache Kafka (Amazon MSK)?** - **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 8.9/10) - **Data Sources:** 8.9/10 (Category avg: 8.6/10) - **Data Processing:** 8.8/10 (Category avg: 8.8/10) - **Real-Time Processing:** 8.8/10 (Category avg: 9.1/10) **Who Is the Company Behind Amazon Managed Streaming for Apache Kafka (Amazon MSK)?** - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud (2,232,483 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (147,094 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 48% Small-Business, 35% Mid-Market #### What Are Amazon Managed Streaming for Apache Kafka (Amazon MSK)'s Pros and 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) ### What Do G2 Reviewers Say About Amazon Managed Streaming for Apache Kafka (Amazon MSK)? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **effortless management** of Kafka with Amazon MSK, enjoying seamless scaling, maintenance, and availability. - Users value the **maintenance ease** of Amazon MSK, which simplifies Kafka management and integrates well with AWS. - Users value the **management ease** of Amazon MSK, appreciating its automation of scaling and maintenance tasks. - Users appreciate the **reliability** of Amazon MSK, which simplifies Kafka management and ensures smooth operations with AWS. - Users appreciate the **seamless scalability** of Amazon MSK, which simplifies Kafka management and integrates well with AWS. **Cons:** - Users find the service **expensive** , particularly for smaller workloads or early-stage projects, affecting accessibility. - Users find the **high cost** of Amazon MSK challenging for smaller workloads and early-stage projects. - Users find **limited control** with Amazon MSK, especially for smaller projects, impacting flexibility compared to self-managed Kafka. #### What Are Recent G2 Reviews of Amazon Managed Streaming for Apache Kafka (Amazon MSK)? **"[Amazon MSK Powers Real-Time Streaming Pipelines with Ease](https://www.g2.com/survey_responses/amazon-managed-streaming-for-apache-kafka-amazon-msk-review-12897575)"** **Rating:** 5.0/5.0 stars *— mani s.* [Read full review](https://www.g2.com/survey_responses/amazon-managed-streaming-for-apache-kafka-amazon-msk-review-12897575) --- **"[Takes the Pain Out of Kafka Management with Seamless AWS Integration](https://www.g2.com/survey_responses/amazon-managed-streaming-for-apache-kafka-amazon-msk-review-12258753)"** **Rating:** 4.5/5.0 stars *— Amaro F.* [Read full review](https://www.g2.com/survey_responses/amazon-managed-streaming-for-apache-kafka-amazon-msk-review-12258753) --- #### What Are G2 Users Discussing About Amazon Managed Streaming for Apache Kafka (Amazon MSK)? - [What are the characteristics of Apache Kafka?](https://www.g2.com/discussions/amazon-managed-streaming-for-apache-kafka-amazon-msk-what-are-the-characteristics-of-apache-kafka) - [How does AWS MSK work?](https://www.g2.com/discussions/how-does-aws-msk-work) - [Does AWS MSK support Kafka streams?](https://www.g2.com/discussions/does-aws-msk-support-kafka-streams) - [What is managed streaming for Apache Kafka?](https://www.g2.com/discussions/what-is-managed-streaming-for-apache-kafka) ### 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:** 82 **How Do G2 Users Rate Amazon Kinesis Data Streams?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10) - **Data Sources:** 9.2/10 (Category avg: 8.6/10) - **Data Processing:** 9.1/10 (Category avg: 8.8/10) - **Real-Time Processing:** 9.4/10 (Category avg: 9.1/10) **Who Is the Company Behind Amazon Kinesis Data Streams?** - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud (2,232,483 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (147,094 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Who Uses This Product?** - **Who Uses This:** Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 37% Enterprise, 36% Mid-Market #### What Are Amazon Kinesis Data Streams's Pros and 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) ### What Do G2 Reviewers Say About Amazon Kinesis Data Streams? *AI-generated summary from verified user reviews* **Pros:** - Users value the **real-time data processing** capabilities of Amazon Kinesis Data Streams for its low latency and robustness. - Users appreciate the **real-time data processing capability** of Amazon Kinesis Data Streams, ensuring efficient handling of large data volumes. - Users appreciate the **real-time data processing capabilities** of Amazon Kinesis Data Streams, ensuring seamless and reliable performance. - Users appreciate the **real-time data processing capability** of Amazon Kinesis Data Streams, enabling effective handling of large data volumes. - Users value the **seamless API integration** of Amazon Kinesis Data Streams with other AWS services for enhanced convenience. **Cons:** - Users find the **difficult setup** of Amazon Kinesis Data Streams confusing, especially regarding shards and cost management. - Users find the service **expensive** , particularly when not closely monitoring usage and managing costs effectively. - Users find the **resource-intensive learning** curve steep, particularly for beginners navigating AWS streaming architectures. - Users find the **complexity** of Amazon Kinesis Data Streams challenging, particularly for newcomers to streaming and AWS. - Users find the **complexity issues** of configuring multiple AWS services cumbersome for data analysis with Kinesis Data Streams. #### What Are Recent G2 Reviews of Amazon Kinesis Data Streams? **"[Amazon Kinesis Data Streams: Reliable Tool for Real-Time Data Streaming](https://www.g2.com/survey_responses/amazon-kinesis-data-streams-review-12239194)"** **Rating:** 4.0/5.0 stars *— SURAJ K.* [Read full review](https://www.g2.com/survey_responses/amazon-kinesis-data-streams-review-12239194) --- **"[Real-Time Streaming at Scale with Low Latency and Seamless AWS Integration](https://www.g2.com/survey_responses/amazon-kinesis-data-streams-review-12933879)"** **Rating:** 4.5/5.0 stars *— Atharva P.* [Read full review](https://www.g2.com/survey_responses/amazon-kinesis-data-streams-review-12933879) --- #### What Are G2 Users Discussing About Amazon Kinesis Data Streams? - [How do I connect to Amazon Kinesis?](https://www.g2.com/discussions/how-do-i-connect-to-amazon-kinesis) - [How do you use Kinesis?](https://www.g2.com/discussions/how-do-you-use-kinesis) - [What is a Kinesis?](https://www.g2.com/discussions/what-is-a-kinesis) - [What does Amazon Kinesis do?](https://www.g2.com/discussions/what-does-amazon-kinesis-do) ### 5. [Google Cloud Dataflow](https://www.g2.com/products/google-cloud-dataflow/reviews) Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed. And with its serverless approach to resource provisioning and management, you have access to virtually limitless capacity to solve your biggest data processing challenges, while paying only for what you use. **Average Rating:** 4.2/5.0 **Total Reviews:** 43 **How Do G2 Users Rate Google Cloud Dataflow?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10) - **Data Sources:** 9.6/10 (Category avg: 8.6/10) - **Data Processing:** 9.8/10 (Category avg: 8.8/10) - **Real-Time Processing:** 9.6/10 (Category avg: 9.1/10) **Who Is the Company Behind Google Cloud Dataflow?** - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google (31,899,995 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (341,888 employees on LinkedIn®) - **Ownership:** NASDAQ:GOOG **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 38% Small-Business, 33% Mid-Market #### What Are Google Cloud Dataflow's Pros and Cons? **Pros:** - Analytics (1 reviews) - Ease of Use (1 reviews) - Easy Management (1 reviews) - Features (1 reviews) - Insights (1 reviews) **Cons:** - Cost Management (1 reviews) - Expensive (1 reviews) - Installation Difficulty (1 reviews) - Learning Difficulty (1 reviews) ### What Do G2 Reviewers Say About Google Cloud Dataflow? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use and efficiency** in building complex streaming pipelines with Google Cloud Dataflow. - Users find the **ease of use** of Google Cloud Dataflow exceptional for building and monitoring streaming pipelines. - Users appreciate the **easy management** features of Google Cloud Dataflow, simplifying complex streaming pipeline development and integrations. - Users highlight the **ease of use and integration** of Google Cloud Dataflow for processing streaming events efficiently. - Users appreciate the **ease of use and real-time monitoring** capabilities of Google Cloud Dataflow for streaming events. **Cons:** - Users find the **cost** of Google Cloud Dataflow high compared to alternatives like Apache Flink, affecting affordability. - Users find Google Cloud Dataflow to be **costly** compared to alternatives like Apache Flink. - Users find the **installation difficult** , especially when implementing features like watermarks in Google Cloud Dataflow. - Users find **learning difficulty** in implementing watermarks, making Google Cloud Dataflow feel complicated and costly compared to alternatives. #### What Are Recent G2 Reviews of Google Cloud Dataflow? **"[Fully Managed Dataflow That Scales for Real Time events](https://www.g2.com/survey_responses/google-cloud-dataflow-review-8682666)"** **Rating:** 4.5/5.0 stars *— Aayush M.* [Read full review](https://www.g2.com/survey_responses/google-cloud-dataflow-review-8682666) --- **"[Cloud Dataflow - Best Events Streaming Platform](https://www.g2.com/survey_responses/google-cloud-dataflow-review-10790379)"** **Rating:** 5.0/5.0 stars *— Sanyam G.* [Read full review](https://www.g2.com/survey_responses/google-cloud-dataflow-review-10790379) --- #### What Are G2 Users Discussing About Google Cloud Dataflow? - [What is the difference between Google dataflow and Google Dataproc?](https://www.g2.com/discussions/what-is-the-difference-between-google-dataflow-and-google-dataproc) - [Is Google dataflow an ETL tool?](https://www.g2.com/discussions/is-google-dataflow-an-etl-tool) - [How does Google dataflow work?](https://www.g2.com/discussions/how-does-google-dataflow-work) - [What is Google dataflow used for?](https://www.g2.com/discussions/what-is-google-dataflow-used-for) ### 6. [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 **How Do G2 Users Rate Confluent?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10) - **Data Sources:** 8.8/10 (Category avg: 8.6/10) - **Data Processing:** 8.8/10 (Category avg: 8.8/10) - **Real-Time Processing:** 9.0/10 (Category avg: 9.1/10) **Who Is the Company Behind Confluent?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) - **Ownership:** SWX:IBM **Who Uses This Product?** - **Who Uses This:** Senior Software Engineer, Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 36% Enterprise, 34% Small-Business #### What Are Confluent's Pros and 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) ### What Do G2 Reviewers Say About Confluent? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **simplicity and scalability** of Confluent's cloud services, enhancing their experience with Kafka and Flink. - Users appreciate the **effortless real-time data integration** through Confluent's managed cloud services, enhancing their workflow significantly. - Users appreciate the **wide range of connectors** in Confluent, simplifying real-time data integration and enhancing productivity. - Users appreciate the **simplified real-time data integration** with Confluent, benefiting from its managed cloud services and wide connectors. - Users appreciate the **ease of use** of Confluent, making data integration and stream processing effortless and efficient. **Cons:** - Users note that the **cost estimation can be high** as data volume increases, requiring time to learn the system. - Users find Confluent to be **expensive** as costs rise with data volume and features are limited in lower editions. - Users face a **steep learning curve** with Confluent, alongside rising costs as data volume increases. - Users find a **lack of features** in Confluent, especially with essential tools restricted to the Enterprise edition. - Users find the **steep learning curve** challenging, requiring significant time to grasp Confluent's workflow and features. #### What Are Recent G2 Reviews of Confluent? **"[Easy to Configure with Few Skill Requirements](https://www.g2.com/survey_responses/confluent-review-12019498)"** **Rating:** 5.0/5.0 stars *— Verified User in Broadcast Media* [Read full review](https://www.g2.com/survey_responses/confluent-review-12019498) --- **"[Effortless Kafka Management with Confluent](https://www.g2.com/survey_responses/confluent-review-12744384)"** **Rating:** 4.5/5.0 stars *— Abhishek g.* [Read full review](https://www.g2.com/survey_responses/confluent-review-12744384) --- #### What Are G2 Users Discussing About Confluent? - [What is your primary use case for Confluent, and how does it enhance your real-time data streaming?](https://www.g2.com/discussions/what-is-your-primary-use-case-for-confluent-and-how-does-it-enhance-your-real-time-data-streaming) - 1 upvote - [What is Confluent product?](https://www.g2.com/discussions/what-is-confluent-product) - [What does Confluent software do?](https://www.g2.com/discussions/what-does-confluent-software-do) - [What is the difference between Confluent and Kafka?](https://www.g2.com/discussions/what-is-the-difference-between-confluent-and-kafka) - [Is Confluent SaaS or PaaS?](https://www.g2.com/discussions/is-confluent-saas-or-paas) ### 7. [IBM Event Streams](https://www.g2.com/products/ibm-event-streams/reviews) IBM Event Streams is a high-throughput, fault-tolerant, event streaming solution. Powered by Apache Kafka, it provides access to enterprise data through event streams, enabling businesses to unlock insights from historical data, and identify and take action on situations in real time and at scale. **Average Rating:** 4.3/5.0 **Total Reviews:** 12 **How Do G2 Users Rate IBM Event Streams?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **Data Sources:** 9.4/10 (Category avg: 8.6/10) - **Data Processing:** 9.4/10 (Category avg: 8.8/10) - **Real-Time Processing:** 10.0/10 (Category avg: 9.1/10) **Who Is the Company Behind IBM Event Streams?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) - **Ownership:** SWX:IBM **Who Uses This Product?** - **Company Size:** 54% Enterprise, 23% Mid-Market #### What Are IBM Event Streams's Pros and Cons? **Pros:** - Ease of Use (1 reviews) - User Interface (1 reviews) ### What Do G2 Reviewers Say About IBM Event Streams? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **user-friendly UI** of IBM Event Streams, making it easy to deliver event-driven solutions. - Users appreciate the **user-friendly interface** of IBM Event Streams, simplifying complex Kafka processes for efficient solutions. #### What Are Recent G2 Reviews of IBM Event Streams? **"[A very user-friendly design](https://www.g2.com/survey_responses/ibm-event-streams-review-11538547)"** **Rating:** 4.5/5.0 stars *— Niki H.* [Read full review](https://www.g2.com/survey_responses/ibm-event-streams-review-11538547) --- **"[Easy to implement](https://www.g2.com/survey_responses/ibm-event-streams-review-11125042)"** **Rating:** 5.0/5.0 stars *— João Paulo C.* [Read full review](https://www.g2.com/survey_responses/ibm-event-streams-review-11125042) --- ### 8. [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:** 127 **How Do G2 Users Rate Apache Kafka?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **Data Sources:** 8.7/10 (Category avg: 8.6/10) - **Data Processing:** 8.9/10 (Category avg: 8.8/10) - **Real-Time Processing:** 9.1/10 (Category avg: 9.1/10) **Who Is the Company Behind Apache Kafka?** - **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation) - **Year Founded:** 1999 - **HQ Location:** Wakefield, MA - **Twitter:** @TheASF (66,168 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/215982/ (2,470 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 46% Enterprise, 33% Mid-Market #### What Are Apache Kafka's Pros and 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) ### What Do G2 Reviewers Say About Apache Kafka? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **high scalability** of Apache Kafka, making it perfect for growing data volumes in enterprises. - Users value the **real-time data processing** of Apache Kafka, appreciating its speed, scalability, and reliability across systems. - Users appreciate the **easy integrations** of Apache Kafka, enjoying seamless connections with their Java applications. - Users praise the **high scalability and performance** of Apache Kafka, making it perfect for handling large data volumes. - Users value the **high scalability and performance** of Apache Kafka, making it perfect for handling growing data volumes. **Cons:** - Users struggle with the **operational complexity** of Apache Kafka, which increases resource consumption and limits message queuing capabilities. - Users find the **data management issues** overwhelming, especially smaller teams needing dedicated expertise for maintenance and scaling. - Users find that **debugging issues** in Apache Kafka can be challenging and requires significant effort to resolve. - Users find the **difficult learning curve** of Apache Kafka overwhelming, especially for smaller teams needing dedicated expertise. - Users find the **limited customization** in Apache Kafka challenging, particularly during initial setup and management tasks. #### What Are Recent G2 Reviews of Apache Kafka? **"[Kafka Delivers Scalable, Durable Real-Time Performance](https://www.g2.com/survey_responses/apache-kafka-review-12660700)"** **Rating:** 5.0/5.0 stars *— Aayush M.* [Read full review](https://www.g2.com/survey_responses/apache-kafka-review-12660700) --- **"[Reliable Real-Time Data Streaming at Scale with Kafka](https://www.g2.com/survey_responses/apache-kafka-review-12593230)"** **Rating:** 4.0/5.0 stars *— Verified User in Retail* [Read full review](https://www.g2.com/survey_responses/apache-kafka-review-12593230) --- #### What Are G2 Users Discussing About Apache Kafka? - [What is your primary use case for Apache Kafka, and how has it impacted your data streaming processes?](https://www.g2.com/discussions/what-is-your-primary-use-case-for-apache-kafka-and-how-has-it-impacted-your-data-streaming-processes) - [What is Apache Kafka used for?](https://www.g2.com/discussions/apache-kafka-what-is-apache-kafka-used-for) - 1 comment - [What is Apache Kafka architecture?](https://www.g2.com/discussions/apache-kafka-what-is-apache-kafka-architecture) - [What is Kafka in software?](https://www.g2.com/discussions/what-is-kafka-in-software) - [What are the characteristics of Apache Kafka?](https://www.g2.com/discussions/apache-kafka-what-are-the-characteristics-of-apache-kafka) ### 9. [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 **How Do G2 Users Rate IBM StreamSets?** - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 8.9/10) - **Data Sources:** 8.0/10 (Category avg: 8.6/10) - **Data Processing:** 8.2/10 (Category avg: 8.8/10) - **Real-Time Processing:** 9.0/10 (Category avg: 9.1/10) **Who Is the Company Behind IBM StreamSets?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) - **Ownership:** SWX:IBM **Who Uses This Product?** - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Enterprise, 33% Mid-Market #### What Are IBM StreamSets's Pros and 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) ### What Do G2 Reviewers Say About IBM StreamSets? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** in IBM StreamSets, highlighting its intuitive interface and beginner-friendly features. - Users praise the **user-friendly drag-and-drop interface** of IBM StreamSets, enhancing visualization and debugging efficiency. - Users value the **effective data management capabilities** of IBM StreamSets for seamless integration and automation across environments. - Users appreciate the **simplification of data integration workflows** in IBM StreamSets, making pipeline creation intuitive and efficient. - Users value the **wide range of integrations** offered by IBM StreamSets, enhancing cloud and on-premise data connectivity. **Cons:** - Users experience a **steep learning curve** , particularly when using advanced features and managing complex pipelines effectively. - Users find the **pricing to be excessive** , especially for smaller teams, impacting overall satisfaction with IBM StreamSets. - Users find the **learning difficulty** of advanced features in StreamSets to be time-consuming and not well-supported. - Users often experience **slow performance** with IBM StreamSets, particularly when processing large volumes of data or complex pipelines. - Users find the **steep learning curve** of IBM StreamSets challenging, especially with advanced features and configurations. #### What Are Recent G2 Reviews of IBM StreamSets? **"[Powerful Data Integration With IBM Stream sets.](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909)"** **Rating:** 5.0/5.0 stars *— Abhishek D.* [Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909) --- **"[Simplifies Real-Time Data Pipelines with Mixed Customization](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946)"** **Rating:** 4.0/5.0 stars *— Sravya A.* [Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946) --- #### What Are G2 Users Discussing About IBM StreamSets? - [What is StreamSets used for?](https://www.g2.com/discussions/what-is-streamsets-used-for) - [What is StreamSets data collector?](https://www.g2.com/discussions/what-is-streamsets-data-collector) - [What is StreamSets control hub?](https://www.g2.com/discussions/what-is-streamsets-control-hub) - [Are StreamSets free?](https://www.g2.com/discussions/are-streamsets-free) - [What is StreamSets tool?](https://www.g2.com/discussions/what-is-streamsets-tool) - 1 comment ### 10. [RudderStack](https://www.g2.com/products/rudderstack/reviews) RudderStack’s agentic CDP enables you to collect, unify, and activate customer data from an integrated platform that wraps around your data warehouse as the system of record. Our infrastructure is battle tested with proven reliability at peak loads up to 1M events/second and 99.95% uptime. Proactive governance tools enable you to enforce data quality and compliance in pipeline, so downstream systems always get activation ready data. And our AI capabilities transform both how you work with customer data and what you can do with it. With RudderStack, your whole business can trust and use customer data. Data teams ship faster, business teams self-serve rich customer context, and agents consistently deliver powerful, privacy safe experiences. Over 30,000 sites and apps run RudderStack including Crate & Barrel, Foot Locker, Glassdoor, Stripe, Allbirds, and more. RudderStack acquired Blendo in 2020 **Average Rating:** 4.7/5.0 **Total Reviews:** 51 **How Do G2 Users Rate RudderStack?** - **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 8.9/10) - **Data Sources:** 9.7/10 (Category avg: 8.6/10) - **Data Processing:** 9.4/10 (Category avg: 8.8/10) - **Real-Time Processing:** 9.8/10 (Category avg: 9.1/10) **Who Is the Company Behind RudderStack?** - **Seller:** [RudderStack](https://www.g2.com/sellers/rudderstack) - **Company Website:** https://www.rudderstack.com - **Year Founded:** 2019 - **HQ Location:** San Francisco, California - **Twitter:** @RudderStack (1,695 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/rudderlabs/about (129 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 54% Mid-Market, 46% Small-Business #### What Are RudderStack's Pros and Cons? **Pros:** - Ease of Use (18 reviews) - Customer Support (16 reviews) - Easy Integration (11 reviews) - Easy Setup (9 reviews) - Easy Integrations (8 reviews) **Cons:** - Learning Curve (10 reviews) - Limited Customization (5 reviews) - Complexity (4 reviews) - Insufficient Guidance (4 reviews) - Onboarding Difficulties (4 reviews) ### What Do G2 Reviewers Say About RudderStack? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of RudderStack, simplifying data management and integration without extensive coding. - Users commend the **exceptional customer support** from RudderStack, enhancing their experience and ensuring successful implementations. - Users highlight the **easy integration** of RudderStack, allowing seamless connections to various tools and sources. - Users value the **easy setup** of RudderStack, appreciating its quick implementation and intuitive interface. - Users value the **easy integrations** of RudderStack, streamlining connections while ensuring clean, consistent data delivery. **Cons:** - Users experience a **challenging learning curve** with RudderStack, particularly due to inconsistent schema and complex setup processes. - Users find **limited customization options** in RudderStack, making it challenging to tailor functionalities to their needs. - Users find the **complexity of the setup process** challenging, especially those with less technical experience, impacting onboarding. - Users find **insufficient guidance** in documentation and troubleshooting, making the experience more challenging with RudderStack. - Users face **onboarding difficulties** due to tricky setup and insufficient documentation, requiring additional support for connections. #### What Are Recent G2 Reviews of RudderStack? **"[Smooth migration from Segment](https://www.g2.com/survey_responses/rudderstack-review-11236491)"** **Rating:** 5.0/5.0 stars *— Steven C.* [Read full review](https://www.g2.com/survey_responses/rudderstack-review-11236491) --- **"[The Modern Data stack's secret weapon ](https://www.g2.com/survey_responses/rudderstack-review-10282067)"** **Rating:** 5.0/5.0 stars *— Venkata M.* [Read full review](https://www.g2.com/survey_responses/rudderstack-review-10282067) --- ### 11. [PubNub](https://www.g2.com/products/pubnub-pubnub/reviews) Deliver immersive, scalable, and secure real-time interactivity with the PubNub platform that connects humans, devices, and AIs. You can focus on launching innovative features instead of managing complex infrastructure. Our platform lets you build, deliver, and manage real-time experiences across web apps, mobile apps, and IoT devices. Whether you are creating in-app chat, live audience engagement, operational dashboards, IoT coordination, AI-driven interactions, or any other real-time functionality, PubNub brings it to life with a suite of purpose-built APIs, SDKs, Solution Kits, integrations, and analytics. What makes us different? ~Scalability~ PubNub is the industry’s most scalable platform that allows for rapid concurrent usage without financial penalties. Because we allow for an unlimited number of concurrent users, you’ll never have to worry about exponential cost increases due to growth. \* Handles over 800 million active devices and over 3 trillion API calls delivered monthly. \* Record for the largest online concurrent event with more than 10.5 million users \* One connected fitness client stated, “From testing to 1,500 rides a day today, to an estimated 15,000 rides a day in the coming months, we’re confident PubNub can handle that growth.” \* "When we hit our concurrency limit [with our previous provider], it was a no-brainer to go with PubNub to power our entire platform and our whole team gave the go-ahead. We knew we would be supported by PubNub no matter how many users and messages we were handling.” Virtual Events Company ~Reliability~ With low latency and high uptime, PubNub users can trust in and rely on a true real-time digital experience that leads to authentic and engaging interactions for their audiences. \* 99.999% uptime Service Level Agreement and global points of presence with automatic routing for failover and redundancy. \* Every message delivered to any device in milliseconds \* Multi-region replication, redundancy within and across data centers, geographic server distribution, geo-routing, and latency monitoring. ~Security and Compliance~ While powering real-time engagement is our passion, security is our priority. We deliver enterprise-grade security, end-to-end encryption for every message running over the network, fine-grained access controls, localized data storage, and more. \* PubNub is ISO 2700, SOC 2 Type II, GDPR, and HIPAA compliant and we conduct annual SOC and ISO audits along with annual penetration testing conducted by third parties. \* A leading healthcare software solution provider stated “data security and HIPAA compliance are extremely important … When we evaluated PubNub as a real-time messaging service, we were very impressed by how easy they were to use. We were sold on PubNub as a partner once we learned about their strengths in data security, SOC 2, and HIPAA compliance.” ~Flexibility~ PubNub is a platform solution that enables teams to build the real-time experiences users demand and leaves the door open for adding additional features and functionality in the future. \* We have developed over 50+SDKs and over 65 pre-built integrations with external and third-party APIs, PubNub gives developers the features they need regardless of programming language or tech stack. \* A food delivery service customer reduced ticket resolution times from five minutes to 30 seconds and stated that “having that flexibility in building and being able to have our chat operate in real-time was key to us—that’s why we chose PubNub.” ~Support~ As a trusted extension of your ops team, PubNub is a partner from design through testing, launch, and beyond. With our white glove support and features like 24/7 support across the globe, a robust self-service library, and operational dashboards, ensuring your app is supported at any level, throughout its lifecycle. \* One PubNub client went from having a dedicated programmer spend 75% of their time monitoring their in-house chat to effortlessly scaling their chat to support 40x growth within a year. \* Partnering with PubNub allowed one virtual events customer to bring their users together in ways not previously possible, “With PubNub and their live event support team, we are able to truly scale our chat to a large number of concurrent users at a time, and that’s what enables us to bring that interactivity between a creator and their fanbase.” \* A rideshare customer was able to focus on building their app because "powering real-time updates and signaling is not our domain. Using PubNub lets us focus on our expertise.” **Average Rating:** 4.4/5.0 **Total Reviews:** 22 **How Do G2 Users Rate PubNub?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10) - **Data Sources:** 9.2/10 (Category avg: 8.6/10) - **Data Processing:** 8.1/10 (Category avg: 8.8/10) - **Real-Time Processing:** 8.1/10 (Category avg: 9.1/10) **Who Is the Company Behind PubNub?** - **Seller:** [PubNub](https://www.g2.com/sellers/pubnub) - **Company Website:** https://www.pubnub.com/ - **Year Founded:** 2010 - **HQ Location:** San Francisco, California - **Twitter:** @PubNub (17,872 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2224710/ (123 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 50% Small-Business, 33% Enterprise #### What Are PubNub's Pros and Cons? **Pros:** - Chat Functionality (3 reviews) - Customer Support (3 reviews) - API Integration (2 reviews) - API Quality (2 reviews) - Data Security (2 reviews) **Cons:** - Billing Issues (1 reviews) - Data Management (1 reviews) - Data Management Issues (1 reviews) - Difficult Navigation (1 reviews) - Expensive (1 reviews) ### What Do G2 Reviewers Say About PubNub? *AI-generated summary from verified user reviews* **Pros:** - Users value the **secure chat functionality** of PubNub, enhancing interactive communication and file sharing efficiently. - Users praise the **responsive customer support** of PubNub, emphasizing its helpful guidance during setup and queries. - Users praise the **easing API integration** with PubNub, simplifying real-time app development and cross-platform data sharing. - Users value the **high-quality APIs** from PubNub, facilitating seamless real-time communication and easy integration. - Users highlight the **robust data security** of PubNub, enabling secure file sharing and real-time communication. **Cons:** - Users find the **billing notice period too short** , as a 30-day warning for changes is inadequate. - Users express concerns over **short notice periods** for data management changes, impacting trust and preparedness. - Users feel that PubNub has **data management issues** , particularly concerning short notice for data deletion changes. - Users find the **difficult navigation** in PubNub's documentation leads to frustrating coding delays and queries. - Users express concern about the **high costs** of PubNub, which can escalate quickly, impacting long-term use. #### What Are Recent G2 Reviews of PubNub? **"[Reliable Real-Time Communication with Some Limitations](https://www.g2.com/survey_responses/pubnub-review-13002637)"** **Rating:** 4.5/5.0 stars *— Sandeep G.* [Read full review](https://www.g2.com/survey_responses/pubnub-review-13002637) --- **"[Saved Us Countless Dev Weeks on Server-Push Solutions](https://www.g2.com/survey_responses/pubnub-review-13046557)"** **Rating:** 4.0/5.0 stars *— Greg G.* [Read full review](https://www.g2.com/survey_responses/pubnub-review-13046557) --- ### 12. [Ably Realtime](https://www.g2.com/products/ably-realtime/reviews) Ably helps teams deliver resilient AI UX and high-performance live experiences that stay fast and in sync worldwide. We provide the global realtime layer for AI agents, chat, notifications, live dashboards, and collaboration - engineered to handle peak demand without self-managed infrastructure. Teams like HubSpot and Intercom use Ably to avoid the cost and complexity of building and operating realtime systems, while still getting predictable performance at serious scale, handling 2T+ API operations per month. Ably’s Pub/Sub, Chat, and AI Transport products are unified by design, with developer-friendly APIs and SDKs that integrate across your stack. **Average Rating:** 4.8/5.0 **Total Reviews:** 67 **How Do G2 Users Rate Ably Realtime?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.9/10) - **Data Sources:** 8.1/10 (Category avg: 8.6/10) - **Data Processing:** 9.0/10 (Category avg: 8.8/10) - **Real-Time Processing:** 9.2/10 (Category avg: 9.1/10) **Who Is the Company Behind Ably Realtime?** - **Seller:** [Ably Realtime](https://www.g2.com/sellers/ably-realtime) - **Year Founded:** 2016 - **HQ Location:** London, GB - **Twitter:** @ablyrealtime (1,862 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/ably-realtime (118 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 45% Small-Business, 28% Mid-Market #### What Are Ably Realtime's Pros and Cons? **Pros:** - Customer Support (14 reviews) - Ease of Use (14 reviews) - Easy Integrations (13 reviews) - Reliability (11 reviews) - Fast Communication (8 reviews) **Cons:** - Expensive (6 reviews) - Pricing Issues (4 reviews) - Data Management Issues (2 reviews) - Learning Curve (2 reviews) - Limitations (2 reviews) ### What Do G2 Reviewers Say About Ably Realtime? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **knowledgeable and highly responsive customer support** of Ably Realtime, enhancing their overall experience. - Users find Ably Realtime to be **incredibly easy to use** , facilitating seamless integration and reliable messaging. - Users value the **easy integrations** of Ably, which enhance development efficiency and support a variety of tools. - Users value the **reliable uptime** of Ably, consistently appreciating its robust performance for real-time messaging since 2016. - Users value the **fast communication** of Ably Realtime, praising its quick integration and reliable support. **Cons:** - Users find Ably Realtime **expensive** , particularly for startups, but appreciate the overall value it provides. - Users express concerns over **pricing issues** with Ably, finding it necessary to monitor usage closely. - Users face **data management issues** due to lack of an enterprise dashboard and unclear usage limits impacting costs. - Users find the **learning curve challenging** , necessitating upfront planning and careful navigation of Ably's powerful features. - Users find the **usage limits confusing** , complicating planning and potentially requiring an upgrade of their entire plan. #### What Are Recent G2 Reviews of Ably Realtime? **"[Real-time, Real Easy!](https://www.g2.com/survey_responses/ably-realtime-review-11185506)"** **Rating:** 5.0/5.0 stars *— Andy C.* [Read full review](https://www.g2.com/survey_responses/ably-realtime-review-11185506) --- **"[Ably has set us up for success to deliver live real-time experiences to millions of fans world wide](https://www.g2.com/survey_responses/ably-realtime-review-10984367)"** **Rating:** 4.5/5.0 stars *— Patrick C.* [Read full review](https://www.g2.com/survey_responses/ably-realtime-review-10984367) --- #### What Are G2 Users Discussing About Ably Realtime? - [How do you use Ably Realtime?](https://www.g2.com/discussions/how-do-you-use-ably-realtime) - [What does ably realtime do?](https://www.g2.com/discussions/what-does-ably-realtime-do) - 1 comment - [What is ably com?](https://www.g2.com/discussions/what-is-ably-com) - 1 comment, 1 upvote ### 13. [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control. **Average Rating:** 4.3/5.0 **Total Reviews:** 770 **How Do G2 Users Rate SAS Viya?** - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 8.9/10) - **Data Sources:** 8.6/10 (Category avg: 8.6/10) - **Data Processing:** 8.6/10 (Category avg: 8.8/10) - **Real-Time Processing:** 8.5/10 (Category avg: 9.1/10) **Who Is the Company Behind SAS Viya?** - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **Company Website:** https://www.sas.com/ - **Year Founded:** 1976 - **HQ Location:** Cary, NC - **Twitter:** @SASsoftware (60,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,638 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Student, Biostatistician - **Top Industries:** Pharmaceuticals, Banking - **Company Size:** 33% Enterprise, 33% Small-Business #### What Are SAS Viya's Pros and Cons? **Pros:** - Ease of Use (234 reviews) - Features (218 reviews) - Analytics (196 reviews) - Data Analysis (166 reviews) - Intuitive (145 reviews) **Cons:** - Learning Difficulty (151 reviews) - Learning Curve (144 reviews) - Complexity (143 reviews) - Difficult Learning (117 reviews) - Expensive (108 reviews) ### What Do G2 Reviewers Say About SAS Viya? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of SAS Viya, which simplifies data visualization and enhances decision-making efficiency. - Users value the **sophisticated analytical capabilities** of SAS Viya, enabling easy deployment and real-time decision-making. - Users appreciate the **advanced analytical methods** offered by SAS Viya, enhancing decision-making and logistical data analysis capabilities. - Users value the **end-to-end data lifecycle tooling** of SAS Viya, enhancing business insight and strategic decision-making. - Users love the **intuitive interface** of SAS Viya, making data analysis and model deployment effortless for all skill levels. **Cons:** - Users find SAS Viya to have a **learning difficulty** , making it challenging for non-technical individuals to navigate effectively. - Users find the **learning curve steep** , making it challenging for non-technical users to navigate SAS Viya effectively. - Users find the **visualization complexity** in SAS Viya challenging, particularly for non-technical users and beginners. - Users struggle with the **difficult learning curve** of SAS Viya, particularly for new and non-technical users. - Users find the **expensive pricing** of SAS Viya to be a significant barrier to entry for potential adoption. #### What Are Recent G2 Reviews of SAS Viya? **"[Powerful Integration, Effortless Customization](https://www.g2.com/survey_responses/sas-viya-review-13109700)"** **Rating:** 5.0/5.0 stars *— 🇮🇳 Jaimit N.* [Read full review](https://www.g2.com/survey_responses/sas-viya-review-13109700) --- **"[Effective Data Analysis with SAS Viya](https://www.g2.com/survey_responses/sas-viya-review-11872818)"** **Rating:** 4.5/5.0 stars *— Fungai J.* [Read full review](https://www.g2.com/survey_responses/sas-viya-review-11872818) --- #### What Are G2 Users Discussing About SAS Viya? - [What is SAS Visual Data Mining and Machine Learning used for?](https://www.g2.com/discussions/what-is-sas-visual-data-mining-and-machine-learning-used-for) - 2 comments ### 14. [IBM Cloud Pak for Integration](https://www.g2.com/products/ibm-cloud-pak-for-integration/reviews) IBM Cloud Pak for Integration is a set of capabilities to speed integration and scale automation, built for any hybrid cloud, within a single, unified experience. Unlock business data and assets as APIs, connect cloud and on-premise applications, reliably move data with enterprise messaging, deliver real-time event interactions, transfer data across any cloud and deploy and scale with cloud-native architecture and shared foundational services — all with end-to-end enterprise-grade security and encryption, making up the broadest set of integration capabilities available on the market today. **Average Rating:** 4.2/5.0 **Total Reviews:** 40 **How Do G2 Users Rate IBM Cloud Pak for Integration?** - **Has the product been a good partner in doing business?:** 7.5/10 (Category avg: 8.9/10) - **Data Sources:** 8.3/10 (Category avg: 8.6/10) - **Data Processing:** 8.6/10 (Category avg: 8.8/10) - **Real-Time Processing:** 8.1/10 (Category avg: 9.1/10) **Who Is the Company Behind IBM Cloud Pak for Integration?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) - **Ownership:** SWX:IBM **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 35% Enterprise, 35% Mid-Market #### What Are Recent G2 Reviews of IBM Cloud Pak for Integration? **"[Unified, Cloud-Native Integration Platform on OpenShift That Simplifies Architecture](https://www.g2.com/survey_responses/ibm-cloud-pak-for-integration-review-13109301)"** **Rating:** 5.0/5.0 stars *— Kim M.* [Read full review](https://www.g2.com/survey_responses/ibm-cloud-pak-for-integration-review-13109301) --- **"[Great to work in IBM cloud](https://www.g2.com/survey_responses/ibm-cloud-pak-for-integration-review-9145389)"** **Rating:** 4.0/5.0 stars *— ashish s.* [Read full review](https://www.g2.com/survey_responses/ibm-cloud-pak-for-integration-review-9145389) --- #### What Are G2 Users Discussing About IBM Cloud Pak for Integration? - [What are the 6 current cloud Paks offered by IBM?](https://www.g2.com/discussions/ibm-cloud-pak-for-integration-what-are-the-6-current-cloud-paks-offered-by-ibm) - [What are the deployment options in IBM cloud Pak for Integration?](https://www.g2.com/discussions/what-are-the-deployment-options-in-ibm-cloud-pak-for-integration) - [Which statement describes the IBM Cloud Pak for Integration?](https://www.g2.com/discussions/which-statement-describes-the-ibm-cloud-pak-for-integration) - [What is included in cloud Pak for Integration?](https://www.g2.com/discussions/what-is-included-in-cloud-pak-for-integration) ### 15. [Red Hat OpenShift Streams for Apache Kafka](https://www.g2.com/products/red-hat-openshift-streams-for-apache-kafka/reviews) Red Hat® OpenShift® Streams for Apache Kafka is a managed cloud service that provides a streamlined developer experience for building, deploying, and scaling new cloud-native applications or modernizing existing systems. **Average Rating:** 4.4/5.0 **Total Reviews:** 26 **How Do G2 Users Rate Red Hat OpenShift Streams for Apache Kafka?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10) - **Data Sources:** 8.6/10 (Category avg: 8.6/10) - **Data Processing:** 8.3/10 (Category avg: 8.8/10) - **Real-Time Processing:** 8.5/10 (Category avg: 9.1/10) **Who Is the Company Behind Red Hat OpenShift Streams for Apache Kafka?** - **Seller:** [Red Hat](https://www.g2.com/sellers/red-hat) - **Year Founded:** 1993 - **HQ Location:** Raleigh, NC - **Twitter:** @RedHat (300,769 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3545/ (19,413 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 42% Small-Business, 38% Enterprise #### What Are Recent G2 Reviews of Red Hat OpenShift Streams for Apache Kafka? **"[powerful and highly scalable platform](https://www.g2.com/survey_responses/red-hat-openshift-streams-for-apache-kafka-review-7841600)"** **Rating:** 4.0/5.0 stars *— Wahidun N.* [Read full review](https://www.g2.com/survey_responses/red-hat-openshift-streams-for-apache-kafka-review-7841600) --- **"[RedHat OpenShift Streams is easier, optimized, efficient and scalable to manage & deploy application](https://www.g2.com/survey_responses/red-hat-openshift-streams-for-apache-kafka-review-8086771)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/red-hat-openshift-streams-for-apache-kafka-review-8086771) --- #### What Are G2 Users Discussing About Red Hat OpenShift Streams for Apache Kafka? - [What is Red Hat OpenShift Streams for Apache Kafka used for?](https://www.g2.com/discussions/what-is-red-hat-openshift-streams-for-apache-kafka-used-for) ### 16. [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 1000+ 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:** 62 **How Do G2 Users Rate Nexla?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10) - **Data Sources:** 9.2/10 (Category avg: 8.6/10) - **Data Processing:** 9.2/10 (Category avg: 8.8/10) - **Real-Time Processing:** 9.3/10 (Category avg: 9.1/10) **Who Is the Company Behind Nexla?** - **Seller:** [Nexla](https://www.g2.com/sellers/nexla) - **Company Website:** https://www.nexla.com/ - **Year Founded:** 2016 - **HQ Location:** San Mateo, California - **Twitter:** @NexlaInc (944 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/nexla/ (67 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Insurance - **Company Size:** 41% Mid-Market, 33% Small-Business #### What Are Nexla's Pros and Cons? **Pros:** - Ease of Use (21 reviews) - Automation (14 reviews) - Data Management (14 reviews) - Integrations (13 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) ### What Do G2 Reviewers Say About Nexla? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Nexla, facilitating smooth data manipulation without requiring coding skills. - Users value the **automation capabilities** of Nexla, significantly reducing manual work and enhancing data cleanliness and consistency. - Users appreciate the **ease of deployment and manipulation** of data with Nexla, finding it user-friendly and flexible. - Users value the **seamless integrations** offered by Nexla, enhancing efficiency with minimal technical requirements and diverse data sources. - Users appreciate the **ease of deployment and integration** with Nexla, enabling seamless data manipulation without coding. **Cons:** - Users find the **learning difficulty** in setting up Nexla can be confusing, especially for beginners with advanced features. - Users notice **slow performance** with UI and search, impacting their overall experience with Nexla. - Users find the **difficult learning curve** of Nexla challenging, especially during initial setup and feature exploration. - Users find the **learning curve steep** , particularly for new users due to complex setup and advanced features. - Users find the **poor documentation** of Nexla confusing, especially when navigating complex features and edge cases. #### What Are Recent G2 Reviews of Nexla? **"[Smooth Data Integration with Impressive Speed and UI](https://www.g2.com/survey_responses/nexla-review-12630612)"** **Rating:** 4.5/5.0 stars *— Srinivasulu L.* [Read full review](https://www.g2.com/survey_responses/nexla-review-12630612) --- **"[Robust Data Consolidation with Excellent Support](https://www.g2.com/survey_responses/nexla-review-12648347)"** **Rating:** 4.0/5.0 stars *— Jaspreet S.* [Read full review](https://www.g2.com/survey_responses/nexla-review-12648347) --- #### What Are G2 Users Discussing About Nexla? - [How do you use Nexla?](https://www.g2.com/discussions/nexla-how-do-you-use-nexla) - [How do you use Nexla?](https://www.g2.com/discussions/how-do-you-use-nexla) - [What is a data fabric?](https://www.g2.com/discussions/nexla-what-is-a-data-fabric) - [What is a data fabric?](https://www.g2.com/discussions/what-is-a-data-fabric) - [What does DataOps do?](https://www.g2.com/discussions/nexla-what-does-dataops-do) ### 17. [Svix](https://www.g2.com/products/svix/reviews) Svix is the enterprise ready webhooks sending service. With Svix, you can build a secure, reliable, and scalable webhook platform in minutes. **Average Rating:** 5.0/5.0 **Total Reviews:** 14 **How Do G2 Users Rate Svix?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **Data Sources:** 8.9/10 (Category avg: 8.6/10) - **Data Processing:** 8.9/10 (Category avg: 8.8/10) - **Real-Time Processing:** 10.0/10 (Category avg: 9.1/10) **Who Is the Company Behind Svix?** - **Seller:** [Svix](https://www.g2.com/sellers/svix) - **Year Founded:** 2021 - **HQ Location:** New York, US - **Twitter:** @SvixHQ (662 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/svix/ (9 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 50% Small-Business, 50% Mid-Market #### What Are Svix's Pros and Cons? **Pros:** - Communication Efficiency (1 reviews) - Data Management (1 reviews) - Ease of Use (1 reviews) - Easy Integrations (1 reviews) - Feature Innovation (1 reviews) **Cons:** - Complexity (1 reviews) - Expensive (1 reviews) - UX Improvement (1 reviews) ### What Do G2 Reviewers Say About Svix? *AI-generated summary from verified user reviews* **Pros:** - Users value the **communication efficiency** of Svix, enjoying smooth integration and minimal support requests during webhook management. - Users find that Svix greatly simplifies **data management** by consolidating webhook management into one accessible location. - Users love the **ease of use** of Svix, allowing for quick and seamless webhook setups. - Users love the **easy integrations** of Svix, allowing quick webhook setups that keep customers satisfied. - Users value the **robust feature set** of Svix, which enhances the smooth integration and user experience. **Cons:** - Users find the **complexity** of Svix's UI challenging, preferring a more straightforward and stylish design experience. - Users find the **paid plan expensive** for early stage startups, although a startup plan offers a more accessible option. - Users find the **default UI unappealing** , struggling to match it with their design despite its extensive functionality. #### What Are Recent G2 Reviews of Svix? **"[The integration was smooth and saved us a lot of code](https://www.g2.com/survey_responses/svix-review-11140795)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/svix-review-11140795) --- **"[Svix is a great webhooks platform](https://www.g2.com/survey_responses/svix-review-9561910)"** **Rating:** 5.0/5.0 stars *— Lanny W.* [Read full review](https://www.g2.com/survey_responses/svix-review-9561910) --- ### 18. [Axual](https://www.g2.com/products/axual/reviews) Axual presents a suite of Kafka solutions tailored for enterprises, offering both cloud and on-premise deployment options. Axual Governance simplifies the management of existing Kafka clusters with a user-friendly interface, visual data mapping and robust Role-Based Access Control (RBAC), ensuring secure and streamlined data oversight. Complementing this, Axual Platform extends these capabilities by including a managed Kafka cluster with advanced streaming capabilities. This comprehensive platform is designed for high-performance, real-time data processing, making it ideal for enterprises and large scale organizations seeking efficient and scalable data management solutions. Together, Axual Governance and Axual Platform provide versatile, powerful tools for Kafka operations, adaptable to any enterprise environment. **Average Rating:** 4.5/5.0 **Total Reviews:** 14 **How Do G2 Users Rate Axual?** - **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 8.9/10) - **Data Sources:** 7.4/10 (Category avg: 8.6/10) - **Data Processing:** 9.0/10 (Category avg: 8.8/10) - **Real-Time Processing:** 9.4/10 (Category avg: 9.1/10) **Who Is the Company Behind Axual?** - **Seller:** [Axual](https://www.g2.com/sellers/axual) - **Year Founded:** 2015 - **HQ Location:** Jaarbeursplein, Utrecht - **Twitter:** @axual (67 Twitter followers) - **LinkedIn® Page:** http://www.linkedin.com/company/axual (43 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 57% Enterprise, 21% Mid-Market #### What Are Recent G2 Reviews of Axual? **"[Perfect tool to simplify Kafka services](https://www.g2.com/survey_responses/axual-review-9359287)"** **Rating:** 5.0/5.0 stars *— Rahul S.* [Read full review](https://www.g2.com/survey_responses/axual-review-9359287) --- **"[A good selfservice and API for enabling Kafka](https://www.g2.com/survey_responses/axual-review-9350445)"** **Rating:** 4.0/5.0 stars *— Jan t.* [Read full review](https://www.g2.com/survey_responses/axual-review-9350445) --- ### 19. [Tray.ai](https://www.g2.com/products/tray-ai/reviews) Tray.ai offers a composable AI integration and automation platform that transforms AI into standout business performance. The Tray Universal Automation Cloud is an AI-ready platform that eliminates the need for disparate tools, enabling seamless integration and automation of complex business processes. Our platform supports all AI, integration, and automation initiatives from a single place. Developers benefit from a code-first, headless environment, freeing them from mundane tasks and allowing focus on business outcomes. The Tray Build IDE and AI Palette accelerate delivery for business technologists, providing easy access to 3rd party connectors and native AI capabilities. As enterprises strive for competitive advantage, our platform helps IT teams deploy AI effectively, connecting systems, automating processes, and integrating data to handle even the most demanding AI use cases. Built for high-change environments, Tray.ai excels in rapid prototyping, testing, and deployment. The fastest way to turn AI into business performance.™ **Average Rating:** 4.5/5.0 **Total Reviews:** 153 **How Do G2 Users Rate Tray.ai?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10) - **Data Sources:** 9.2/10 (Category avg: 8.6/10) - **Data Processing:** 8.3/10 (Category avg: 8.8/10) - **Real-Time Processing:** 8.6/10 (Category avg: 9.1/10) **Who Is the Company Behind Tray.ai?** - **Seller:** [Tray.io](https://www.g2.com/sellers/tray-io) - **Year Founded:** 2012 - **HQ Location:** San Francisco, CA - **Twitter:** @tray (3,059 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2659008/ (139 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 56% Mid-Market, 34% Small-Business #### What Are Tray.ai's Pros and Cons? **Pros:** - Easy Integrations (8 reviews) - Ease of Use (7 reviews) - Automation (5 reviews) - Customer Support (5 reviews) - Integrations (5 reviews) **Cons:** - Missing Features (4 reviews) - Complex Pricing (3 reviews) - Expensive (3 reviews) - Learning Curve (3 reviews) - Complexity (2 reviews) ### What Do G2 Reviewers Say About Tray.ai? *AI-generated summary from verified user reviews* **Pros:** - Users love the **easy integrations** of Tray.ai, enabling seamless connections and automation across various platforms. - Users find Tray.ai to be **exceptionally easy to use** , streamlining setup and workflow automation effortlessly. - Users value the **automation capabilities** of Tray.ai, enabling efficient processes and easy workflow management without extensive coding. - Users value the **incredibly helpful support community** of Tray.ai, enhancing their integration and automation experience. - Users value the **extensive integrations** of Tray.ai, allowing seamless connections with various platforms and APIs. **Cons:** - Users find the lack of **missing features** in Tray.ai limits its functionality and desired capabilities significantly. - Users find Tray.ai's **complex pricing** and evolving structure challenging for budgeting and planning effectively. - Users find the **expensive pricing model** of Tray.ai complicated and difficult for budget planning over time. - Users face a significant **learning curve** while trying to navigate the complexities of Tray.ai's functionalities. - Users find the **complexity** of Tray.ai challenging for newcomers, especially with intricate lead routing rules. #### What Are Recent G2 Reviews of Tray.ai? **"[Easy-to-Identify Logs and Audit Trails](https://www.g2.com/survey_responses/tray-ai-review-12530158)"** **Rating:** 4.5/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/tray-ai-review-12530158) --- **"[An Integration tool](https://www.g2.com/survey_responses/tray-ai-review-11278803)"** **Rating:** 5.0/5.0 stars *— Omji P.* [Read full review](https://www.g2.com/survey_responses/tray-ai-review-11278803) --- #### What Are G2 Users Discussing About Tray.ai? - [What is Tray.io used for?](https://www.g2.com/discussions/what-is-tray-io-used-for) - 1 comment - [What does Tray.io do?](https://www.g2.com/discussions/what-does-tray-io-do) - [Who owns tray io?](https://www.g2.com/discussions/who-owns-tray-io) - [How much does tray IO cost?](https://www.g2.com/discussions/how-much-does-tray-io-cost) - [What is Tray io?](https://www.g2.com/discussions/what-is-tray-io) - 1 comment ### 20. [Amazon Kinesis Data Firehose](https://www.g2.com/products/amazon-kinesis-data-firehose/reviews) Amazon Kinesis Data Firehose is the easiest way to reliably load real-time streams into data lakes, warehouses, and analytics services. Kinesis Data Firehose can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon OpenSearch Service, and Splunk, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today. It is a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration. It can also batch, compress, and encrypt the data before loading it, minimizing the amount of storage used at the destination and increasing security. **Average Rating:** 4.2/5.0 **Total Reviews:** 20 **How Do G2 Users Rate Amazon Kinesis Data Firehose?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **Data Sources:** 7.5/10 (Category avg: 8.6/10) - **Data Processing:** 8.3/10 (Category avg: 8.8/10) - **Real-Time Processing:** 8.1/10 (Category avg: 9.1/10) **Who Is the Company Behind Amazon Kinesis Data Firehose?** - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud (2,232,483 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (147,094 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 46% Mid-Market, 33% Enterprise #### What Are Recent G2 Reviews of Amazon Kinesis Data Firehose? **"[Easy integration with other services](https://www.g2.com/survey_responses/amazon-kinesis-data-firehose-review-7878269)"** **Rating:** 4.0/5.0 stars *— Verified User in Design* [Read full review](https://www.g2.com/survey_responses/amazon-kinesis-data-firehose-review-7878269) --- **"[A Next Gen Infrastructure for Data Processing and Streaming](https://www.g2.com/survey_responses/amazon-kinesis-data-firehose-review-7748499)"** **Rating:** 4.5/5.0 stars *— SriVatsa V.* [Read full review](https://www.g2.com/survey_responses/amazon-kinesis-data-firehose-review-7748499) --- ### 21. [Spark Streaming](https://www.g2.com/products/spark-streaming/reviews) Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part. **Average Rating:** 4.2/5.0 **Total Reviews:** 38 **How Do G2 Users Rate Spark Streaming?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10) - **Data Sources:** 9.0/10 (Category avg: 8.6/10) - **Data Processing:** 9.2/10 (Category avg: 8.8/10) - **Real-Time Processing:** 9.0/10 (Category avg: 9.1/10) **Who Is the Company Behind Spark Streaming?** - **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation) - **Year Founded:** 1999 - **HQ Location:** Wakefield, MA - **Twitter:** @TheASF (66,168 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/215982/ (2,470 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 43% Mid-Market, 30% Small-Business #### What Are Recent G2 Reviews of Spark Streaming? **"[A Heartfelt Thanks for the Amazing Amazon Apache Spark Streaming](https://www.g2.com/survey_responses/spark-streaming-review-8197254)"** **Rating:** 5.0/5.0 stars *— Sai kiran S.* [Read full review](https://www.g2.com/survey_responses/spark-streaming-review-8197254) --- **"[Best tool for building large scale data pipelines](https://www.g2.com/survey_responses/spark-streaming-review-8899059)"** **Rating:** 4.5/5.0 stars *— K Madhusudan C.* [Read full review](https://www.g2.com/survey_responses/spark-streaming-review-8899059) --- #### What Are G2 Users Discussing About Spark Streaming? - [What is Spark Streaming used for?](https://www.g2.com/discussions/what-is-spark-streaming-used-for) - [What is the difference between spark streaming and structured streaming?](https://www.g2.com/discussions/what-is-the-difference-between-spark-streaming-and-structured-streaming) - [How does Kafka integrate with spark streaming?](https://www.g2.com/discussions/how-does-kafka-integrate-with-spark-streaming) - [What are the main features of Apache spark?](https://www.g2.com/discussions/what-are-the-main-features-of-apache-spark) - [What is spark streaming checkpoint?](https://www.g2.com/discussions/what-is-spark-streaming-checkpoint) ### 22. [TIBCO BusinessEvents](https://www.g2.com/products/tibco-businessevents/reviews) Your enterprise is surrounded by hundreds of thousands of events that occur continuously. Hidden amongst them can be stalled business processes, opportunities for value creation, potential fraud, dissatisfied customers, failing equipment, and more. TIBCO BusinessEvents proactively identifies these critical events, responds intelligently in real-time to navigate the fast-moving business environments and optimize outcomes. Effective decision-making in your business requires a comprehensive understanding of various event types, ranging from historical, current, and expected yet absent events. TIBCO BusinessEvents provides contextual Event Processing and excels in this area. TIBCO BusinessEvents enables your business to handle vast volumes of events that large, complex businesses encounter daily, satisfying the rigorous demands of today’s high-traffic business environment. It is an essential capability of an event-driven architecture (EDA). **Average Rating:** 4.3/5.0 **Total Reviews:** 17 **How Do G2 Users Rate TIBCO BusinessEvents?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10) - **Data Sources:** 8.2/10 (Category avg: 8.6/10) - **Data Processing:** 8.6/10 (Category avg: 8.8/10) - **Real-Time Processing:** 8.9/10 (Category avg: 9.1/10) **Who Is the Company Behind TIBCO BusinessEvents?** - **Seller:** [Cloud Software Group](https://www.g2.com/sellers/cloud-software-group) - **HQ Location:** Fort Lauderdale, FL - **Twitter:** @cloudsoftware (124 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cloudsoftwaregroup/ (9,527 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 47% Enterprise, 35% Small-Business #### What Are TIBCO BusinessEvents's Pros and Cons? **Pros:** - Decision Making (1 reviews) - Ease of Use (1 reviews) - Efficiency (1 reviews) - Real-time Analytics (1 reviews) - Real-time Data (1 reviews) **Cons:** - Complexity (1 reviews) - Expensive (1 reviews) - Poor Guidance (1 reviews) - Setup Difficulties (1 reviews) ### What Do G2 Reviewers Say About TIBCO BusinessEvents? *AI-generated summary from verified user reviews* **Pros:** - Users value the **real-time decision-making** capabilities of TIBCO BusinessEvents, efficiently processing complex events and large data volumes. - Users commend the **ease of use** of TIBCO BusinessEvents for processing complex events and data in real time. - Users appreciate the **efficiency in processing complex events** and large data volumes for timely decision-making. - Users find TIBCO BusinessEvents impressive for its **real-time analytics** , enabling quick decision-making from complex event processing. - Users value the **real-time data processing** of TIBCO BusinessEvents, enabling swift and effective decision-making. **Cons:** - Users find TIBCO BusinessEvents' **complexity** challenging to navigate, especially without sufficient guidance at the start. - Users find TIBCO BusinessEvents to be **expensive to procure** , which may deter potential adopters from getting started. - Users find it challenging to begin due to **poor guidance** , making the complex system harder to navigate. - Users find the **setup difficulties** frustrating, often lacking the guidance needed to navigate TIBCO BusinessEvents effectively. #### What Are Recent G2 Reviews of TIBCO BusinessEvents? **"[Tibco BW Review by Sridhar](https://www.g2.com/survey_responses/tibco-businessevents-review-9053078)"** **Rating:** 5.0/5.0 stars *— Sridhar S.* [Read full review](https://www.g2.com/survey_responses/tibco-businessevents-review-9053078) --- **"[Your perfect assistant for precise decision making](https://www.g2.com/survey_responses/tibco-businessevents-review-9044285)"** **Rating:** 4.5/5.0 stars *— Mujahid S.* [Read full review](https://www.g2.com/survey_responses/tibco-businessevents-review-9044285) --- #### What Are G2 Users Discussing About TIBCO BusinessEvents? - [What is TIBCO BusinessEvents used for?](https://www.g2.com/discussions/what-is-tibco-businessevents-used-for) ### 23. [Decodable](https://www.g2.com/products/decodable/reviews) Decodable radically simplifies real-time ETL with a powerful, easy-to-use real-time ETL platform. By removing the challenges of building and maintaining infrastructure and pipelines, Decodable enables data teams to eliminate overhead, easily connect sources, perform real-time transformations, and reliably deliver data to any destination. **Average Rating:** 4.7/5.0 **Total Reviews:** 16 **How Do G2 Users Rate Decodable?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **Data Sources:** 9.0/10 (Category avg: 8.6/10) - **Data Processing:** 8.7/10 (Category avg: 8.8/10) - **Real-Time Processing:** 9.3/10 (Category avg: 9.1/10) **Who Is the Company Behind Decodable?** - **Seller:** [Decodable](https://www.g2.com/sellers/decodable) - **Year Founded:** 2021 - **HQ Location:** San Francisco, US - **Twitter:** @Decodableco (2,639 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/decodable/ (6 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 44% Small-Business, 38% Mid-Market #### What Are Decodable's Pros and Cons? **Pros:** - Automation (2 reviews) - Ease of Use (2 reviews) - Easy Setup (2 reviews) - Features (2 reviews) - Implementation Ease (2 reviews) **Cons:** - Not User-Friendly (1 reviews) - Performance Issues (1 reviews) - Poor Customer Support (1 reviews) - Poor Performance (1 reviews) - Resource Intensive Learning (1 reviews) ### What Do G2 Reviewers Say About Decodable? *AI-generated summary from verified user reviews* **Pros:** - Users praise Decodable for its **automation capabilities** , enabling quick migrations and effortless real-time data management. - Users find Decodable to be a **very easy to use platform** , enabling quick prototype assembly and seamless data flow visualization. - Users find Decodable's **easy setup** allows for quick migration and effortless data flow visualization throughout the process. - Users value the **ease of use** of Decodable, enabling quick testing and seamless pipeline migrations. - Users find Decodable's **implementation ease** exceptional, enabling quick migration and efficient pipeline management effortlessly. **Cons:** - Users find the **FAQ poorly organized** , often requiring support assistance, though responses are quick and helpful. - Users report significant **performance issues** with Decodable, experiencing slow processing rates that hinder efficiency. - Users find the **poor customer support** frustrating despite the quick responses when they reach out for help. - Users report **poor performance** with Decodable, processing only 1 to 2 records per second, limiting effectiveness. - Users find the **resource intensive learning** of Decodable challenging, particularly with slow record processing rates. #### What Are Recent G2 Reviews of Decodable? **"[Unlocks AI applications by Simplifying Real-time Streaming and Infrastructure](https://www.g2.com/survey_responses/decodable-review-9930376)"** **Rating:** 4.5/5.0 stars *— Kevin K.* [Read full review](https://www.g2.com/survey_responses/decodable-review-9930376) --- **"[Onboarding could not be more easy](https://www.g2.com/survey_responses/decodable-review-10764019)"** **Rating:** 5.0/5.0 stars *— Martin S.* [Read full review](https://www.g2.com/survey_responses/decodable-review-10764019) --- ### 24. [Instaclustr Managed Kafka](https://www.g2.com/products/instaclustr-managed-kafka/reviews) NetApp® Instaclustr for Apache Kafka® is a managed event streaming platform that enables organizations to deploy, operate, and scale Apache Kafka clusters for distributed data processing. It is designed for IT operations teams, DevOps engineers, software architects, and businesses that require reliable, secure, and scalable streaming infrastructure without the complexity of self-managing open source technologies. NetApp Instaclustr for Apache Kafka supports enterprises and technology-driven organizations that need to ingest, process, and analyze large volumes of data in real time. Common use cases include log aggregation, real-time analytics, data pipeline orchestration, and event-driven application architectures. The platform provides automated provisioning, monitoring, scaling, and maintenance of Apache Kafka clusters across public cloud environments and on-premises data centers. Instaclustr offers multiple deployment models, including fully managed clusters, enterprise support, consulting, and training services. Key features and benefits: - Managed Kafka clusters with automated deployment, configuration, and scaling - 24x7 expert support backed by service level agreements (SLAs) - Professional services for architecture, migration, and optimization - Certified training for technical teams on Apache Kafka best practices - Security and compliance controls, including SOC 2, ISO 27001, ISO 27018, GDPR, PCI-DSS, HIPAA NetApp Instaclustr for Apache Kafka helps organizations address challenges such as limited in-house expertise, integration complexity, and the need for reliable, scalable, and secure event streaming operations. **Average Rating:** 4.3/5.0 **Total Reviews:** 11 **How Do G2 Users Rate Instaclustr Managed Kafka?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **Data Sources:** 8.8/10 (Category avg: 8.6/10) - **Data Processing:** 8.8/10 (Category avg: 8.8/10) - **Real-Time Processing:** 9.2/10 (Category avg: 9.1/10) **Who Is the Company Behind Instaclustr Managed Kafka?** - **Seller:** [NetApp](https://www.g2.com/sellers/netapp) - **Year Founded:** 1992 - **HQ Location:** Sunnyvale, California - **Twitter:** @NetApp (118,015 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2105/ (12,682 employees on LinkedIn®) - **Ownership:** NASDAQ **Who Uses This Product?** - **Company Size:** 55% Enterprise, 27% Mid-Market #### What Are Recent G2 Reviews of Instaclustr Managed Kafka? **"[All the best bits of open source software without any of the bad bits](https://www.g2.com/survey_responses/instaclustr-managed-kafka-review-5002921)"** **Rating:** 5.0/5.0 stars *— Nick M.* [Read full review](https://www.g2.com/survey_responses/instaclustr-managed-kafka-review-5002921) --- **"[Excellent Kafka service provider](https://www.g2.com/survey_responses/instaclustr-managed-kafka-review-4996618)"** **Rating:** 4.5/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/instaclustr-managed-kafka-review-4996618) --- #### What Are G2 Users Discussing About Instaclustr Managed Kafka? - [What is the difference between Apache Kafka and confluent Kafka?](https://www.g2.com/discussions/what-is-the-difference-between-apache-kafka-and-confluent-kafka) - [What is Kafka software used for?](https://www.g2.com/discussions/what-is-kafka-software-used-for) - [What is Managed Service Kafka?](https://www.g2.com/discussions/what-is-managed-service-kafka) - [What are the key features of Kafka?](https://www.g2.com/discussions/what-are-the-key-features-of-kafka) ### 25. [InfinyOn Cloud](https://www.g2.com/products/infinyon-cloud/reviews) InfinyOn, a real-time data streaming company, has architected a programmable platform for data in motion that is built on Rust and enables continuous intelligence for connected apps. SmartModules enable enterprises to intelligently program their data pipelines as the data flows between producers and consumers in real-time. With Fluvio OSS or InfinyOn Cloud, enterprises can quickly correlate events, apply business intelligence, and derive value as they occur. Our mission is to accelerate the world's transition to the real-time economy. **Average Rating:** 4.8/5.0 **Total Reviews:** 15 **How Do G2 Users Rate InfinyOn Cloud?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10) - **Data Sources:** 8.3/10 (Category avg: 8.6/10) - **Data Processing:** 8.6/10 (Category avg: 8.8/10) - **Real-Time Processing:** 9.2/10 (Category avg: 9.1/10) **Who Is the Company Behind InfinyOn Cloud?** - **Seller:** [InfinyOn](https://www.g2.com/sellers/infinyon) - **Year Founded:** 2019 - **HQ Location:** Santa Clara, US - **Twitter:** @infinyon (414 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/infinyon/ (8 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 73% Small-Business, 20% Mid-Market #### What Are Recent G2 Reviews of InfinyOn Cloud? **"[Lower AWS cost with InfinyOn Cloud](https://www.g2.com/survey_responses/infinyon-cloud-review-6689737)"** **Rating:** 5.0/5.0 stars *— Mark L.* [Read full review](https://www.g2.com/survey_responses/infinyon-cloud-review-6689737) --- **"[InfinyOn Cloud - Great platform for streaming events](https://www.g2.com/survey_responses/infinyon-cloud-review-6661344)"** **Rating:** 5.0/5.0 stars *— Chris B.* [Read full review](https://www.g2.com/survey_responses/infinyon-cloud-review-6661344) --- #### What Are G2 Users Discussing About InfinyOn Cloud? - [What is InfinyOn Cloud used for?](https://www.g2.com/discussions/what-is-infinyon-cloud-used-for) ## What Is Event Stream Processing Software? [Big Data Software](https://www.g2.com/categories/big-data) ## What Software Categories Are Similar to Event Stream Processing Software? - [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) - [Stream Analytics Software](https://www.g2.com/categories/stream-analytics) --- ## How Do You Choose the Right Event Stream Processing Software? ### What You Should Know About Event Stream Processing Software ### What is Event Stream Processing Software? Data is stored and subsequently processed with traditional data processing tools. This method is not effective when data is constantly changing, as by the time the data has been stored and analyzed, it has likely already changed and become obsolete. Event stream processing, also known as stream processing, helps ease these concerns by processing the data when it is on the move. As opposed to batch processing, which focuses on data at rest, stream processing allows for the processing of an uninterrupted flow of records. With event stream processing, the data is constantly arriving, with the focus being on identifying how the data has changed over time or detecting anomalies in the historical data, or both. Key Benefits of Event Stream Processing Software - Allow for extremely low latency - Analyze data in real time - Scale data processing, giving the user the ability to handle any amount of streaming data and process data from numerous sources ### Why Use Event Stream Processing Software? Event stream processing software is incomplete without the ability to manipulate data as it arrives. This software assists with on-the-fly processing, letting users aggregate, perform joins of data within a stream, and more. Users leverage stream processing tools to process data transferred among a whole range of internet of things (IoT) endpoints and devices, including smart cars, machinery, or home appliances. Real-time data processing is key when companies want deeper insight into their data; it is also helpful when time is of the essence—for example, in the case of retail companies looking to keep a constant and consistent record of their inventory across multiple channels. **Gain insights from data —** Users leverage event stream processing software as a buffer to connect a company’s many data sources to a data storage solution, such as a data lake. From movie watching on a streaming service to taxi rides on a ride-hailing app, this data can be used for pattern identification and to inform business decisions. **Real time integration—** Through the continuous collection of data from data sources, such as databases, sensors, messaging systems, and logs, users are able to ensure their applications which rely on this data are up to date. **Control data flows —** Event stream processing software makes it easier to create, visualize, monitor, and maintain data flows. ### Who Uses Event Stream Processing Software? Business users working with data use event stream processing software which gives them access to data in real time. **Developers —** Developers looking to build event streaming applications that rely on the flow of big data benefit from event stream processing software. For example, batch processing does not serve an application well that is aimed at providing recommendations based on real-time data. Therefore, developers rely on event stream processing software to best handle this data and process it effectively and efficiently. **Analysts —** To analyze big data as it comes, analysts need to utilize a tool that processes the data. With event stream processing software, they are equipped with the proper tools to integrate the data into their analytics platforms. **Machine learning engineers —** Data is a key component of the training and development of machine learning models. Having the right data processing software in place is an important part of this process. ### Kinds of Event Stream Processing software There are different methods or manners in which the stream processing takes place. **At-rest analytics —** Like log analysis, at rest-analytics looks back on historical data to find trends. **In-stream analytics —** A more complex form of analysis occurs with in-stream analytics in which data streams between or across devices are analyzed. **Edge analytics —** This method has the added benefit of potentially lowering the latency for data that is processed on device (for example an IoT device), as the data does not necessarily need to be sent to the cloud. ### Event Stream Processing Software Features Event stream processing software, with processing at its core, provides users with the capabilities they need to integrate their data for purposes such as analytics and application development. The following features help to facilitate these tasks: **Connectors —** With connectors to a wide range of core systems (e.g., via an API), users extend the reach of existing enterprise assets. **Metrics —** Metrics help users analyze the processing to ascertain its performance. **Change data capture (CDC) —** CDC turns databases into a streaming data source where each new transaction is delivered to event stream processing software instantaneously. **Data validation—** Data validation allows users to visualize the data flow and ensure their data and data delivery is validated. **Pre-built data pipelines —** Some tools provide pre-built data pipelines to enable operational workloads in the cloud. ### Trends Related to Event Stream Processing Software Although data has been around in some form for a long while, the sheer volume, velocity, and variety due to innovations like IoT is unprecedented. As such, technology like artificial intelligence (AI) is helping to make data management and processing manageable. **Internet of things (IoT) —** With the proliferation of IoT comes the proliferation of varied data types. Event stream processing software must facilitate the processing of these multifarious data types. Also, IoT data is typically fast moving and frequently changing. It is critical that these solutions provide the ability to ingest and integrate this kind of data. **Embedded AI —** Machine and deep learning functionality is getting increasingly embedded in nearly all types of software, irrespective of whether the user is aware of it or not. The use of embedded AI inside software like CRM, marketing automation, and analytics solutions is allowing users to streamline processes, automate certain tasks, and gain a competitive edge with predictive capabilities. Data integration tools like event stream processing software will become increasingly more important, as AI is fueled by data. Embedded AI may gradually pick up and it may do so in the way cloud deployment and mobile capabilities have over the past decade or so. Eventually, vendors may not need to highlight their product benefits from machine learning as it may just be assumed and expected. **Self service offerings —** As with other types of data tools (such as analytics platforms), there is an increasing trend for software to be of the self-service nature. This means that nonprofessionals should be able to use the tool easily with little to no IT support for setting it up. With drag-and-drop interfaces or highly customizable setups, average business users are being empowered by statistical analysis capabilities. ### Potential Issues with Event Stream Processing Software **Data organization —** It may be challenging to organize data in a way that is easily accessible and harness big data sets that contain historical and real-time data. Companies often need to build a data warehouse or a data lake that combines all the disparate data sources for easy access. This requires highly skilled employees. **Deployment issues —** Search software requires lots of work by a skilled development team or vendor support staff to properly deploy the solution, especially if the data is particularly messy. Some data may lack compatibility with different products while some solutions may be geared for different types of data. For example, some solutions may not be optimized for unstructured data, whilst others may be the best fit for numerical data. ### Software and Services Related to Event Stream Processing Software The following solutions can be used in conjunction with or instead of the products in this category to be able to integrate and analyze data. **Stream analytics software —** [Stream analytics software](https://www.g2.com/categories/stream-analytics) helps users looking for tools specifically geared toward analyzing, as opposed to just processing data in real time. These tools help users analyze data in transfer through APIs, between applications, and more. This software is helpful with IoT data that needs frequent analysis in real time. **Big data integration platforms —** [Big data integration platforms](https://www.g2.com/categories/big-data-integration-platform) are robust and help users manage and store big data clusters and use them within cloud applications. **Analytics platforms —** [Analytics platforms](https://www.g2.com/categories/analytics-platforms) include big data integrations, but are broader-focused tools which facilitate five elements: data preparation, data modeling, data blending, data visualization, and insights delivery. **Log analysis software —** [Log analysis software](https://www.g2.com/categories/log-analysis) is a tool that gives users the ability to analyze log files. This type of software includes visualizations and is particularly useful for monitoring and alerting purposes. **Data preparation software —** Key solutions necessary for easy data analysis is [data preparation software](https://www.g2.com/categories/data-preparation) and other related data management tools. These solutions allow users to discover, combine, clean, and enrich data for simple analysis. Data preparation tools are used by IT or data analysts tasked with using business intelligence tools. Some business intelligence platforms offer data preparation features but businesses with a wide range of data sources often opt for a dedicated data preparation tool. **Data warehouses—** Most companies have a large number of disparate data sources. To best integrate all their data, they implement [data warehouse software](https://www.g2.com/categories/data-warehouse). Data warehouses house data from multiple databases and business applications, that allow business intelligence and analytics tools to pull all company data from a single repository. This organization is critical to the quality of the data that is ingested by analytics software.