SQLstream Alternatives & Competitors

IoT Management.

Key AWS IoT Analytics features:

Scalable Integration Time-series analysis Data Enrichment

Azure Stream Analytics offers real-time stream processing in the cloud.

Key Azure Stream Analytics features:

Real-time Data Processing Ease of Use Scalability Integration with Azure Ecosystem

Making Today: Stay Organized, Work Faster.

Key Making Today features:

Dashboard Multiple dashboards Popular integrations Multiple Platform support

Try for free freemium $15.0 / Monthly

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Key Amazon Kinesis features:

Real-time data processing Scalability Fully managed service Integration with AWS ecosystem

Open source data platform for the Internet of Things. ThingSpeak Features.

Key ThingSpeak features:

Ease of Use Real-time Data Processing Integration with MATLAB API Support

Open Source

IoT Analytics.

With the PI System, OSIsoft customers have reduced costs, opened new revenue streams, extended equipment life, increased production capacity, and more.

Key The PI System features:

Real-time Data Collection High Scalability Integration Capabilities Data Analytics and Reporting

Securely connect, integrate, analyze, build, and deploy innovative IoT solutions to gain business process efficiencies and data-driven insights with Oracle Internet of Things (IoT) technology.

Key Oracle Internet of Things Cloud features:

Scalability Integration Analytics and Insights Security

Axonize IoT platform - the smarter way to truly realize your IoT potential and create smart, scalable IoT projects to increase profitability.

Key Axonize features:

Scalability Ease of Integration Customizability User-Friendly Interface

Ergonomics keyboards, mice, and foot pedals.

Easily visualize data pushed into Elasticsearch from Logstash, es-hadoop or 3rd party technologies...

Key Kibana features:

User-Friendly Interface Powerful Visualizations Real-Time Data Analysis Integration with Elastic Stack

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Key Apache Flink features:

Real-time Stream Processing Event Time Processing State Management Fault Tolerance

Open Source

Learn about Azure Event Hubs, a managed service that can ingest and process massive data streams from websites, apps, or devices.

Key Azure Event Hubs features:

Scalability Fully Managed Integration Data Retention

IoT Analytics.

Key Apache iota features:

Open Source Scalability Community Support Integration