With its hybrid-first and all-in-one stream analytics and integration software, Crosser stands out as a major player in the rapidly evolving fields of digital transformation and industrial IoT. This cutting-edge platform offers real-time processing for streaming, event-driven, or batch data, meeting the varied demands of companies in a range of sectors. Managing all activities from a single Control Center, empowering users with a low-code and low-effort experience, and a dedication to simplicity are what distinguish Crosser. The revolutionary platform from Crosser was created to satisfy the increasing need for event-driven data mobility, integration, and automation experiences. Crosser guarantees smooth real-time processing whether companies are on-premises, in the cloud, or at the edge.

The idea of a sensor-rich, networked environment where all data is smoothly integrated in real time is at the heart of Crosser's goal. Crosser's dedication to accelerating digital transformation, raising company value, enhancing people's lives, cutting carbon footprints, and creating a more secure world is motivated by this goal. The business concept is as compelling: using clever and user-friendly streaming analytics tools to speed up the adoption of digital transformation and Industrial IoT.

The Crosser Journey: From XSockets to a Stream Analytics Powerhouse

Co-founder Uffe Bjorklund started Crosser in 2009 as a side project to create real-time data communications solutions. Over 60,000 downloads of XSockets, a real-time communication engine that began as a free edition, demonstrate how rapidly it acquired popularity. Together with Johan Jonzon and Martin Thunman, Uffe realized the difficulties presented by the proliferation of interconnected systems as demand increased. Crosser was founded with the goal of developing the most intelligent and user-friendly Stream Analytics & Integration platform as a result of this understanding.

Dealing with massive amounts of streaming IoT data and negotiating the intricacies of legacy and contemporary technology, the first focus on Edge Stream Analytics and Integration for Industrial IoT proved effective. Crosser's technology is now suitable for all Stream Analytics and Integration use cases across industries, transcending industrial categories.

Simplifying the Data Crossroad

The core of Crosser's marketing narrative is making the data crossroads easier for businesses preparing for hyper-automation. Crosser's technology is a lighthouse in a world where data is produced by cloud providers, SaaS apps, enterprise systems, Internet of Things devices, and even individuals. By establishing intelligent pipelines and automations at the intersection of many data kinds, it makes event-driven and real-time stream analytics possible. Because the platform may be deployed anywhere, Crosser is positioned as a key component in the process of creating fully integrated, highly automated businesses.

The field of stream analytics and integration is changing as a result of Crosser's dedication to ease of use, simplicity, and real-time processing. With its All-in-One Platform for Intelligent Pipelines & Automations, Crosser is a dependable partner for companies pursuing digital transformation and navigating the challenges of the IoT age. 

Intelligent Pipelines & Automations for a real-time world

Maintaining your data in line with the constantly shifting requirements of a real-time environment is essential in today's fast-paced corporate climate. The answer is intelligent pipelines and automations, which offer a low-effort way to guarantee that your data is up to date and useful. One of the key components of real-time enabling is streamlining continuous data flow to your cloud. You can modify and transmit usable data ten times quicker than with conventional approaches using event-driven pipelines, giving your business team’s access to real-time information.

Crosser for Intelligent Pipelines & Automations

The smooth transfer of always-on and usable data to your cloud is made possible by the Crosser platform. You can create ETL, ELT, Reverse ETL, and ML-powered pipelines with its flexible Flow Studio and you can deploy, monitor, and manage your complete data infrastructure effectively with its unified Control Center.

Event-Driven Integrations from any source

Being event-driven & real-time enabled is critical in today's business. By providing connection to any data source and recording and responding to changes—whether they be new, updated, or deleted data—Crosser guarantees this foundation.

Crosser supports various event-driven integrations:

1. IoT / Machine Data: Analyze IoT data streams and take appropriate action in response to intelligent circumstances.
2. Report-by-Exception: Trigger actions on streaming data only when the data value changes. Only when the data value changes should actions be triggered on streaming data.
3. Webhooks: Establish a connection with SaaS services to push events like orders, payments, or changed information.
4. Pub/Sub like WebSockets and MQTT: Subscribe to subjects that are pertinent to your business.
5. Change Data Capture (CDC) in databases: By recording changes, you can keep your data up to date.
6. File Watcher: Recognize file changes and set off events appropriately.
7. Anomaly Detection: To find abnormalities in IoT data, video/audio, user behavior, or transactions, apply rules, custom algorithms, or ML/AI models to streaming data.

Crosser Event-Driven Integrations

In the current data environment, maximizing Big Cloud savings for Big Data is essential. Crosser offers a practical remedy:

Reduce Data Volume: Preprocess data in the cloud, on-site, or at the edge.

Bypass Complicated Cloud Services: Steer clear of the intricacy and expense of costly cloud services for event processing, stream analytics, and integration.

Direct Integration to Cloud Storage: Integrate with Snowflake, Databricks, Cloud storage, and more with ease.

Simplify the Data Stack: Spend less on software by using fewer layers.

Low Infrastructure Cost: The Crosser Node reduces infrastructure expenses by being quick, lightweight, and modular.

Offload Cloud Processing: Use multi-cloud, on-premise, and hybrid edge solutions to achieve the best possible balance between performance and cost for data processing.

Distributed ML /AI: When necessary, execute artificial intelligence and machine learning procedures near the data source at the edge.

Martin Thunman, CEO & Co-Founder of Crosser

“I love it - working together in a team with a conviction you truly can make a difference in your industry - nothing beats it.”