Crosser logo

Crosser

by Crosser · Since 2016
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ActiveAvailable globallyCloudOn-premise
Quick facts
VendorCrosser
Year launched2016
StatusActive
LocationKlarabergsgatan 60 111 21 Stockholm Sweden
Countries servedGlobal
Languages1
Integrations3+
Free tierNO
Free trialYES
Contact salesYES

About Crosser

Crosser is a modern real‑time streaming analytics and data integration platform designed to simplify event‑driven workflows across cloud, on‑premise, and edge environments.

Crosser is a modern real‑time streaming analytics and data integration platform designed to simplify event‑driven workflows across cloud, on‑premise, and edge environments. Developed by Crosser Technologies AB, the platform targets enterprises needing to process streaming and batch data, build intelligent pipelines, and enable real‑time data processing for IoT and automation use cases with low‑code ease. Crosser’s strength lies in its hybrid architecture and Unified Namespace pattern, which enables organizations to consolidate data from disparate sources — from IoT sensors to enterprise systems — and trigger actions based on defined events. It includes features like CDC (Change Data Capture), anomaly detection, and tight integration capabilities with +800 connectors, making it suitable for enterprise‑grade data operations. The platform appeals to industrial, manufacturing, and digital transformation teams seeking to reduce complexity and accelerate time‑to‑value without heavy coding. After being acquired by AVEVA (part of Schneider Electric), Crosser’s technology is positioned to scale into larger industrial and analytics ecosystems.

Pros & Cons

Pros
  • Built‑in anomaly detection detects unusual patterns in streaming operations.
  • Hybrid cloud and edge analytics reduces latency and improves local decisioning.
  • Visual low‑code flow design speeds up development without deep technical skills needed.
  • Monitoring tools help teams observe data freshness and pipeline health easily.
  • Connects to many data sources enabling seamless real‑time integration across systems.
Cons
  • Requires careful design to avoid event overload in high‑volume streams.
  • Some advanced features might require additional configuration effort.
  • Edge deployment can be resource‑intensive for constrained devices.
  • Steep learning curve for users unfamiliar with streaming analytics concepts.

Features

Key features

IoT Edge Analytics

Analyze time‑series and sensor data at edge.

Smart Automation

Trigger actions and alerts based on data conditions

Connectors Library

Access +800 data source connectors.

Control Center Monitoring

Manage flows and nodes from a central UI.

Low Code Visual Flow Studio

Build integration pipelines without extensive coding.

Anomaly Detection

Detect outliers using rules or ML models.

Change Data Capture Support

Keep systems in sync with database changes.

Hybrid Real‑Time Integrations

Supports cloud, on‑premise and edge data flows.

Unified Namespace

Single consistent data representation across systems.

Streaming ETL/ELT Capabilities

Process, transform and load data in real time.

Additional features

Data Freshness Monitoring

Check how recent your data is.

Reversed ETL Support

Push cloud data back to apps.

AI/ML Model Monitoring

Observe model performance in production.

Data Validation Logic

Validate data quality and formats.

Data Volume Monitoring

Track data flow volumes.

Pub/Sub & Webhook Interfaces

Subscribe to external event sources.

Edge Deployment Support

Run on‑site at edge locations.

Batch & Streaming Data Support

Handles historical and real‑time data.

API and File Watcher Triggers

Detect file or API events.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

Global
Countries served
1
Interface languages
1
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD

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