# Top 10 IBM Event Streams Alternatives &amp; Competitors
**Average Rating:** 4.3/5
**Total Number of Reviews:** 13
IBM Event Streams is not the only option for Event Stream Processing Software. Explore other competing options and alternatives. Other important factors to consider when researching alternatives to IBM Event Streams include integration. The best overall IBM Event Streams alternative is SAS Viya. Other similar apps like IBM Event Streams are Amazon Kinesis Data Streams, Red Hat OpenShift Streams for Apache Kafka, Aiven for Apache Kafka, and Apache Kafka. IBM Event Streams alternatives can be found in [Event Stream Processing Software](https://www.g2.com/categories/event-stream-processing) but may also be in [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) or [Stream Analytics Software](https://www.g2.com/categories/stream-analytics).


## Best Paid &amp; Free Alternatives to IBM Event Streams
  - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)
  - [Amazon Kinesis Data Streams](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews)
  - [Red Hat OpenShift Streams for Apache Kafka](https://www.g2.com/products/red-hat-openshift-streams-for-apache-kafka/reviews)
  - [Aiven for Apache Kafka](https://www.g2.com/products/aiven-for-apache-kafka/reviews)
  - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews)
  - [Tray.ai](https://www.g2.com/products/tray-ai/reviews)
  - [Spark Streaming](https://www.g2.com/products/spark-streaming/reviews)
  - [Google Cloud Dataflow](https://www.g2.com/products/google-cloud-dataflow/reviews)
  - [Ably Realtime](https://www.g2.com/products/ably-realtime/reviews)
  - [Nexla](https://www.g2.com/products/nexla/reviews)

## Top 10 Alternatives to IBM Event Streams Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how IBM Event Streams stacks up to the competition, check reviews from current &amp; previous users in industries like Information Technology and Services, Events Services, and Airlines/Aviation, and find the best product for your business.


  ### 1. [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)
By SAS Institute Inc.
**Average Rating:** 4.3/5
**Total Reviews:** 818
As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.


Reviewers say compared to IBM Event Streams, SAS Viya is:
- Better at meeting requirements
- Better at support
Categories in common with IBM Event Streams: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing)

**Compare:** [IBM Event Streams vs SAS Viya](https://www.g2.com/compare/ibm-event-streams-vs-sas-sas-viya)
**Compare SAS Viya with other alternatives:**
- [SAS Viya vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-sas-sas-viya)
- [SAS Viya vs Red Hat OpenShift Streams for Apache Kafka](https://www.g2.com/compare/red-hat-openshift-streams-for-apache-kafka-vs-sas-sas-viya)
- [SAS Viya vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-sas-sas-viya)
- [SAS Viya vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-sas-sas-viya)
- [SAS Viya vs Tray.ai](https://www.g2.com/compare/sas-sas-viya-vs-tray-ai)
- [SAS Viya vs Spark Streaming](https://www.g2.com/compare/sas-sas-viya-vs-spark-streaming)
- [SAS Viya vs Google Cloud Dataflow](https://www.g2.com/compare/google-cloud-dataflow-vs-sas-sas-viya)
- [SAS Viya vs Ably Realtime](https://www.g2.com/compare/ably-realtime-vs-sas-sas-viya)
- [SAS Viya vs Nexla](https://www.g2.com/compare/nexla-vs-sas-sas-viya)

  ### 2. [Amazon Kinesis Data Streams](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews)
By Amazon Web Services (AWS)
**Average Rating:** 4.3/5
**Total Reviews:** 90
Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store data streams at any scale.


Reviewers say compared to IBM Event Streams, Amazon Kinesis Data Streams is:
- Better at meeting requirements
- Better at support
Categories in common with IBM Event Streams: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing)

**Compare:** [IBM Event Streams vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-ibm-event-streams)
**Compare Amazon Kinesis Data Streams with other alternatives:**
- [Amazon Kinesis Data Streams vs SAS Viya](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-sas-sas-viya)
- [Amazon Kinesis Data Streams vs Red Hat OpenShift Streams for Apache Kafka](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-red-hat-openshift-streams-for-apache-kafka)
- [Amazon Kinesis Data Streams vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-aws-amazon-kinesis-data-streams)
- [Amazon Kinesis Data Streams vs Apache Kafka](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-apache-kafka)
- [Amazon Kinesis Data Streams vs Tray.ai](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-tray-ai)
- [Amazon Kinesis Data Streams vs Spark Streaming](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-spark-streaming)
- [Amazon Kinesis Data Streams vs Google Cloud Dataflow](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-google-cloud-dataflow)
- [Amazon Kinesis Data Streams vs Ably Realtime](https://www.g2.com/compare/ably-realtime-vs-aws-amazon-kinesis-data-streams)
- [Amazon Kinesis Data Streams vs Nexla](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-nexla)

  ### 3. [Red Hat OpenShift Streams for Apache Kafka](https://www.g2.com/products/red-hat-openshift-streams-for-apache-kafka/reviews)
By Red Hat
**Average Rating:** 4.4/5
**Total Reviews:** 26
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.


Reviewers say compared to IBM Event Streams, Red Hat OpenShift Streams for Apache Kafka is:
- Better at support
- Better at meeting requirements
Categories in common with IBM Event Streams: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing)

**Compare:** [IBM Event Streams vs Red Hat OpenShift Streams for Apache Kafka](https://www.g2.com/compare/ibm-event-streams-vs-red-hat-openshift-streams-for-apache-kafka)
**Compare Red Hat OpenShift Streams for Apache Kafka with other alternatives:**
- [Red Hat OpenShift Streams for Apache Kafka vs SAS Viya](https://www.g2.com/compare/red-hat-openshift-streams-for-apache-kafka-vs-sas-sas-viya)
- [Red Hat OpenShift Streams for Apache Kafka vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-red-hat-openshift-streams-for-apache-kafka)
- [Red Hat OpenShift Streams for Apache Kafka vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-red-hat-openshift-streams-for-apache-kafka)
- [Red Hat OpenShift Streams for Apache Kafka vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-red-hat-openshift-streams-for-apache-kafka)
- [Red Hat OpenShift Streams for Apache Kafka vs Tray.ai](https://www.g2.com/compare/red-hat-openshift-streams-for-apache-kafka-vs-tray-ai)
- [Red Hat OpenShift Streams for Apache Kafka vs Spark Streaming](https://www.g2.com/compare/red-hat-openshift-streams-for-apache-kafka-vs-spark-streaming)
- [Red Hat OpenShift Streams for Apache Kafka vs Google Cloud Dataflow](https://www.g2.com/compare/google-cloud-dataflow-vs-red-hat-openshift-streams-for-apache-kafka)
- [Red Hat OpenShift Streams for Apache Kafka vs Ably Realtime](https://www.g2.com/compare/ably-realtime-vs-red-hat-openshift-streams-for-apache-kafka)
- [Red Hat OpenShift Streams for Apache Kafka vs Nexla](https://www.g2.com/compare/nexla-vs-red-hat-openshift-streams-for-apache-kafka)

  ### 4. [Aiven for Apache Kafka](https://www.g2.com/products/aiven-for-apache-kafka/reviews)
By Aiven
**Average Rating:** 4.3/5
**Total Reviews:** 248
Aiven for Apache Kafka is a fully managed streaming platform, deployable in the cloud of your choice. Snap it into your existing workflows with the click of a button, automate away the mundane tasks, and focus on building your core apps.


Reviewers say compared to IBM Event Streams, Aiven for Apache Kafka is:
- Better at support
- Better at meeting requirements
Categories in common with IBM Event Streams: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing)

**Compare:** [IBM Event Streams vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-ibm-event-streams)
**Compare Aiven for Apache Kafka with other alternatives:**
- [Aiven for Apache Kafka vs SAS Viya](https://www.g2.com/compare/aiven-for-apache-kafka-vs-sas-sas-viya)
- [Aiven for Apache Kafka vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aiven-for-apache-kafka-vs-aws-amazon-kinesis-data-streams)
- [Aiven for Apache Kafka vs Red Hat OpenShift Streams for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-red-hat-openshift-streams-for-apache-kafka)
- [Aiven for Apache Kafka vs Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-apache-kafka)
- [Aiven for Apache Kafka vs Tray.ai](https://www.g2.com/compare/aiven-for-apache-kafka-vs-tray-ai)
- [Aiven for Apache Kafka vs Spark Streaming](https://www.g2.com/compare/aiven-for-apache-kafka-vs-spark-streaming)
- [Aiven for Apache Kafka vs Google Cloud Dataflow](https://www.g2.com/compare/aiven-for-apache-kafka-vs-google-cloud-dataflow)
- [Aiven for Apache Kafka vs Ably Realtime](https://www.g2.com/compare/ably-realtime-vs-aiven-for-apache-kafka)
- [Aiven for Apache Kafka vs Nexla](https://www.g2.com/compare/aiven-for-apache-kafka-vs-nexla)

  ### 5. [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews)
By The Apache Software Foundation
**Average Rating:** 4.5/5
**Total Reviews:** 132
Apache Kafka is an open-source distributed event streaming platform developed by the Apache Software Foundation. It is designed to handle real-time data feeds with high throughput and low latency, making it ideal for building data pipelines, streaming analytics, and integrating data across various systems. Kafka enables organizations to publish, store, and process streams of records in a fault-tolerant and scalable manner, supporting mission-critical applications across diverse industries. Key Features and Functionality: - High Throughput and Low Latency: Kafka delivers messages at network-limited throughput with latencies as low as 2 milliseconds, ensuring efficient data processing. - Scalability: It can scale production clusters up to thousands of brokers, handling trillions of messages per day and petabytes of data, while elastically expanding and contracting storage and processing capabilities. - Durable Storage: Kafka stores streams of data safely in a distributed, durable, and fault-tolerant cluster, ensuring data integrity and availability. - High Availability: The platform supports efficient stretching of clusters over availability zones and connects separate clusters across geographic regions, enhancing resilience. - Stream Processing: Kafka provides built-in stream processing capabilities through the Kafka Streams API, allowing for operations like joins, aggregations, filters, and transformations with event-time processing and exactly-once semantics. - Connectivity: With Kafka Connect, it integrates seamlessly with hundreds of event sources and sinks, including databases, messaging systems, and cloud storage services. Primary Value and Solutions Provided: Apache Kafka addresses the challenges of managing real-time data streams by offering a unified platform that combines messaging, storage, and stream processing. It enables organizations to: - Build Real-Time Data Pipelines: Facilitate the continuous flow of data between systems, ensuring timely and reliable data delivery. - Implement Streaming Analytics: Analyze and process data streams in real-time, allowing for immediate insights and actions. - Ensure Data Integration: Seamlessly connect various data sources and sinks, promoting a cohesive data ecosystem. - Support Mission-Critical Applications: Provide a robust and fault-tolerant infrastructure capable of handling high-volume and high-velocity data, essential for critical business operations. By leveraging Kafka&#39;s capabilities, organizations can modernize their data architectures, enhance operational efficiency, and drive innovation through real-time data processing and analytics.


Reviewers say compared to IBM Event Streams, Apache Kafka is:
- Better at meeting requirements
Categories in common with IBM Event Streams: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing)

**Compare:** [IBM Event Streams vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-ibm-event-streams)
**Compare Apache Kafka with other alternatives:**
- [Apache Kafka vs SAS Viya](https://www.g2.com/compare/apache-kafka-vs-sas-sas-viya)
- [Apache Kafka vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-apache-kafka)
- [Apache Kafka vs Red Hat OpenShift Streams for Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-red-hat-openshift-streams-for-apache-kafka)
- [Apache Kafka vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-apache-kafka)
- [Apache Kafka vs Tray.ai](https://www.g2.com/compare/apache-kafka-vs-tray-ai)
- [Apache Kafka vs Spark Streaming](https://www.g2.com/compare/apache-kafka-vs-spark-streaming)
- [Apache Kafka vs Google Cloud Dataflow](https://www.g2.com/compare/apache-kafka-vs-google-cloud-dataflow)
- [Apache Kafka vs Ably Realtime](https://www.g2.com/compare/ably-realtime-vs-apache-kafka)
- [Apache Kafka vs Nexla](https://www.g2.com/compare/apache-kafka-vs-nexla)

  ### 6. [Tray.ai](https://www.g2.com/products/tray-ai/reviews)
By Tray.io
**Average Rating:** 4.5/5
**Total Reviews:** 158
The Tray Platform empowers anyone to do more, faster by harnessing automation with the leading, low-code general automation platform.


Reviewers say compared to IBM Event Streams, Tray.ai is:
- Better at meeting requirements
- Better at support
Categories in common with IBM Event Streams: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing)

**Compare:** [IBM Event Streams vs Tray.ai](https://www.g2.com/compare/ibm-event-streams-vs-tray-ai)
**Compare Tray.ai with other alternatives:**
- [Tray.ai vs SAS Viya](https://www.g2.com/compare/sas-sas-viya-vs-tray-ai)
- [Tray.ai vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-tray-ai)
- [Tray.ai vs Red Hat OpenShift Streams for Apache Kafka](https://www.g2.com/compare/red-hat-openshift-streams-for-apache-kafka-vs-tray-ai)
- [Tray.ai vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-tray-ai)
- [Tray.ai vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-tray-ai)
- [Tray.ai vs Spark Streaming](https://www.g2.com/compare/spark-streaming-vs-tray-ai)
- [Tray.ai vs Google Cloud Dataflow](https://www.g2.com/compare/google-cloud-dataflow-vs-tray-ai)
- [Tray.ai vs Ably Realtime](https://www.g2.com/compare/ably-realtime-vs-tray-ai)
- [Tray.ai vs Nexla](https://www.g2.com/compare/nexla-vs-tray-ai)

  ### 7. [Spark Streaming](https://www.g2.com/products/spark-streaming/reviews)
By The Apache Software Foundation
**Average Rating:** 4.2/5
**Total Reviews:** 40
Spark Streaming brings Apache Spark&#39;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.


Reviewers say compared to IBM Event Streams, Spark Streaming is:
- Better at meeting requirements
- Better at support
Categories in common with IBM Event Streams: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing)

**Compare:** [IBM Event Streams vs Spark Streaming](https://www.g2.com/compare/ibm-event-streams-vs-spark-streaming)
**Compare Spark Streaming with other alternatives:**
- [Spark Streaming vs SAS Viya](https://www.g2.com/compare/sas-sas-viya-vs-spark-streaming)
- [Spark Streaming vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-spark-streaming)
- [Spark Streaming vs Red Hat OpenShift Streams for Apache Kafka](https://www.g2.com/compare/red-hat-openshift-streams-for-apache-kafka-vs-spark-streaming)
- [Spark Streaming vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-spark-streaming)
- [Spark Streaming vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-spark-streaming)
- [Spark Streaming vs Tray.ai](https://www.g2.com/compare/spark-streaming-vs-tray-ai)
- [Spark Streaming vs Google Cloud Dataflow](https://www.g2.com/compare/google-cloud-dataflow-vs-spark-streaming)
- [Spark Streaming vs Ably Realtime](https://www.g2.com/compare/ably-realtime-vs-spark-streaming)
- [Spark Streaming vs Nexla](https://www.g2.com/compare/nexla-vs-spark-streaming)

  ### 8. [Google Cloud Dataflow](https://www.g2.com/products/google-cloud-dataflow/reviews)
By Google
**Average Rating:** 4.2/5
**Total Reviews:** 45
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.


Reviewers say compared to IBM Event Streams, Google Cloud Dataflow is:
- Better at meeting requirements
Categories in common with IBM Event Streams: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing)

**Compare:** [IBM Event Streams vs Google Cloud Dataflow](https://www.g2.com/compare/google-cloud-dataflow-vs-ibm-event-streams)
**Compare Google Cloud Dataflow with other alternatives:**
- [Google Cloud Dataflow vs SAS Viya](https://www.g2.com/compare/google-cloud-dataflow-vs-sas-sas-viya)
- [Google Cloud Dataflow vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-google-cloud-dataflow)
- [Google Cloud Dataflow vs Red Hat OpenShift Streams for Apache Kafka](https://www.g2.com/compare/google-cloud-dataflow-vs-red-hat-openshift-streams-for-apache-kafka)
- [Google Cloud Dataflow vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-google-cloud-dataflow)
- [Google Cloud Dataflow vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-google-cloud-dataflow)
- [Google Cloud Dataflow vs Tray.ai](https://www.g2.com/compare/google-cloud-dataflow-vs-tray-ai)
- [Google Cloud Dataflow vs Spark Streaming](https://www.g2.com/compare/google-cloud-dataflow-vs-spark-streaming)
- [Google Cloud Dataflow vs Ably Realtime](https://www.g2.com/compare/ably-realtime-vs-google-cloud-dataflow)
- [Google Cloud Dataflow vs Nexla](https://www.g2.com/compare/google-cloud-dataflow-vs-nexla)

  ### 9. [Ably Realtime](https://www.g2.com/products/ably-realtime/reviews)
By Ably Realtime
**Average Rating:** 4.8/5
**Total Reviews:** 67
Ably is a realtime data delivery platform providing developers everything they need to create, deliver and manage complex projects. Ably solves the hardest parts so they don’t have to.


Reviewers say compared to IBM Event Streams, Ably Realtime is:
- Better at support
- Better at meeting requirements
Categories in common with IBM Event Streams: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing)

**Compare:** [IBM Event Streams vs Ably Realtime](https://www.g2.com/compare/ably-realtime-vs-ibm-event-streams)
**Compare Ably Realtime with other alternatives:**
- [Ably Realtime vs SAS Viya](https://www.g2.com/compare/ably-realtime-vs-sas-sas-viya)
- [Ably Realtime vs Amazon Kinesis Data Streams](https://www.g2.com/compare/ably-realtime-vs-aws-amazon-kinesis-data-streams)
- [Ably Realtime vs Red Hat OpenShift Streams for Apache Kafka](https://www.g2.com/compare/ably-realtime-vs-red-hat-openshift-streams-for-apache-kafka)
- [Ably Realtime vs Aiven for Apache Kafka](https://www.g2.com/compare/ably-realtime-vs-aiven-for-apache-kafka)
- [Ably Realtime vs Apache Kafka](https://www.g2.com/compare/ably-realtime-vs-apache-kafka)
- [Ably Realtime vs Tray.ai](https://www.g2.com/compare/ably-realtime-vs-tray-ai)
- [Ably Realtime vs Spark Streaming](https://www.g2.com/compare/ably-realtime-vs-spark-streaming)
- [Ably Realtime vs Google Cloud Dataflow](https://www.g2.com/compare/ably-realtime-vs-google-cloud-dataflow)
- [Ably Realtime vs Nexla](https://www.g2.com/compare/ably-realtime-vs-nexla)

  ### 10. [Nexla](https://www.g2.com/products/nexla/reviews)
By Nexla
**Average Rating:** 4.6/5
**Total Reviews:** 63
Nexla monitors, adapts, and securely moves data between companies so you can focus on the real work


Reviewers say compared to IBM Event Streams, Nexla is:
- Better at support
- Better at meeting requirements
Categories in common with IBM Event Streams: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing)

**Compare:** [IBM Event Streams vs Nexla](https://www.g2.com/compare/ibm-event-streams-vs-nexla)
**Compare Nexla with other alternatives:**
- [Nexla vs SAS Viya](https://www.g2.com/compare/nexla-vs-sas-sas-viya)
- [Nexla vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-nexla)
- [Nexla vs Red Hat OpenShift Streams for Apache Kafka](https://www.g2.com/compare/nexla-vs-red-hat-openshift-streams-for-apache-kafka)
- [Nexla vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-nexla)
- [Nexla vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-nexla)
- [Nexla vs Tray.ai](https://www.g2.com/compare/nexla-vs-tray-ai)
- [Nexla vs Spark Streaming](https://www.g2.com/compare/nexla-vs-spark-streaming)
- [Nexla vs Google Cloud Dataflow](https://www.g2.com/compare/google-cloud-dataflow-vs-nexla)
- [Nexla vs Ably Realtime](https://www.g2.com/compare/ably-realtime-vs-nexla)


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