AI TOOL PROFILE
Crosser: Stream Analytics and Data Integration
- Data and Analytics
- Data Integration
- Mid-market companies
- Enterprise companies
- OT and IT data teams
- Industrial automation managers
Pricing
A 30-day free trial is available, providing full platform access, unlimited flows, and one self-hosted node.
At a glance
- Best for
- Mid-market companies, Enterprise companies, OT and IT data teams, Industrial automation managers
- Key use cases
- Industrial IoT Integration, Unified Namespace (UNS) Implementation, Edge Stream Analytics, Change Data Capture (CDC), Cloud Data Lake Ingestion
- Integrations
- Microsoft Azure, AWS, Google Cloud, Snowflake, Databricks
- Official website
- Visit crosser official website
How AI is used
Crosser is a data integration and streaming analytics platform for the processing of event-driven or batch data. It uses a low-code, drag-and-drop design studio to build data pipelines, which may be deployed as Docker containers or Windows services.
The platform is designed for organizations managing industrial IoT environments or hybrid cloud architectures. It supports data movement tasks ranging from ETL processes to event-driven automations.
Users manage deployments through a centralized Control Center for the monitoring and orchestration of data flows. For requirements beyond standard modules, the platform supports custom logic using Python, C#, and JavaScript.
Buyers should confirm if their technical team is comfortable with Docker-based deployments and whether their specific industrial protocols are among the platform's supported connectors.
Key Features
Low-Code Flow Studio
A visual drag-and-drop designer for creating data pipelines.
Hybrid Deployment
Supports running data processing in the cloud, on-premise, or at the edge via Docker containers or Windows services.
Crosser Control Center
A centralized SaaS or on-premise portal for designing, deploying, and monitoring data flows.
FlowWatch Observability
Provides monitoring for data freshness, volume validation, and streaming data validation.
Edge AI/ML Support
Supports running ML frameworks at the edge for anomaly detection in IoT data.
High-Throughput Runtime
The Crosser Node is designed to process up to 100,000 messages per second depending on hardware.
Use Cases
Industrial IoT Integration
Integrating data from shop-floor machines and sensors in real time to connect OT and IT teams.
Unified Namespace (UNS) Implementation
Organizing and enriching data into a single version of truth for industrial architectures.
Edge Stream Analytics
Pre-processing and analyzing data at the edge to trigger actions before sending data to the cloud.
Change Data Capture (CDC)
Syncing data by capturing and acting on changes within databases in real time.
Cloud Data Lake Ingestion
Streaming data directly into cloud storage, Snowflake, or Databricks.
Integrations
- Microsoft Azure
- AWS
- Google Cloud
- Snowflake
- Databricks
- SAP
- Salesforce
- MQTT
- OPC UA
- Modbus
FAQ
What is Crosser used for?
- Crosser is used for real-time processing of streaming, event-driven, or batch data, helping businesses integrate data between the edge, on-premise servers, and the cloud.
Does Crosser offer a free trial?
- Yes, Crosser provides a 30-day free trial that includes full access to all platform features, unlimited flows, and one self-hosted node.
How is Crosser deployed?
- Crosser can be deployed as a serverless SaaS via Crosser Cloud, or as a lightweight Docker container or native Windows service for hybrid and on-premise setups.
Can you add custom code to Crosser flows?
- Yes, while it is a low-code platform, users can complement pre-built modules with their own custom code using Python, C#, or JavaScript.
Source category: Data & Analytics
Source subcategory: Data Integration
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