Consolidate and transform your data for advanced analytics, delivering valuable business insights and leveraging the power and features of Snowflake, Databricks, Amazon Redshift, Google BigQuery and Azure Synapse.

Crosser is an all-in-one platform that replaces a range of complicated cloud integration tools. Save time and development cost with a new modern approach.

Create event-driven pipelines and automations based on customer and user activity.

Build monitoring pipelines for internal IT systems.

Personalization of e-commerce with real-time stream analytics.

Enhance pub/sub systems with advanced stream analytics, logic and automation workflows.

Use Kafka as a source or destination and add advance stream analytics, logic and automation workflows.

Instead of complicated and resource demanding Kafka clusters leverage the lightweight Crosser Platform and save on infrastructure and development Cost.

Complement your existing integration solution with event-processing and stream analytics capabilities. Replace legacy systems for a modern, more capable and cost efficient solution for your integration needs.

Combine real-time customer transaction records and historical spending pattern to identify opportunities to generate real-time offer alerts.

Remove hand-coded spaghetti-like integrations and leverage the power of re-usable intelligent integrations & automations.

Make your applications event-driven and deliver a real-time experience to your users.

Use advanced conditions to trigger notifications to apps or through SMS, Slack, Teams etc.

Use location specific data to dynamically update systems and apps.

Leverage Crosser to calculate real-time operational KPIs and feed live dashboards or act on KPI based on conditions. Create triggers or alerts/notifications and become event-driven.

Pre-processing of edge data with advanced ETL and logic, including ML before sending to Cloud data warehouses or data lakes. Batch and streaming data (IoT, video, audio, logs, transactions).

Move data from on-prem data sources to the cloud.

Ingest data with high-performance ETL/ELT directly to Cloud Services, bypassing complicated and costly Cloud Services.

Read data from cloud data storage / data warehouses and trigger applications (ERP/CRM etc). SaaS or on-premises. Drive action by automatically delivering real-time data to the place it’ll be most useful. Sync your data warehouse to your operational tools.

Capture changed records in SQL databases based on insert, update and delete activity that applies to a table and create intelligent pipelines and automations based on that change event.

Integrate large volumes of files based on events (new, deleted, updated).

Change Data Capture is a streaming product on the Lightning Platform that enables you to efficiently integrate your Salesforce data with external systems. With Change Data Capture, you can receive changes of Salesforce records in real time and synchronize corresponding records in an external data store.

Filter out unnecessary raw data and enrich data to reduce cost and deliver ready-to-use data.

Enrich incoming data with metadata dynamically added via API calls.

Create a unified data format from various data sources.

Check data quality against a model and correct before loading to a destination.

Recalculation of accounting in different currencies.

Move and sync data between data sources based on scheduled extractions or through change data capture events. More and more applications can also push events (for instance Salesforce).

Event-driven integrations for real-time updates of live dashboards.

Add your own code to pipelines. Leverage pre-built modules for all common tasks and focus your resources on value creating tasks.

Build application back-end workflow automations without code with library of pre-built modules. Complement with your own code if needed. See all intelligent pipelines and automations visually.

Different sources often have different formats for data. Leverage the transformation and enrichment capabilities to create a common data format and data model.

Anomaly detection of data (web, transactions, etc) matched against data pattern or using algorithms and conditions.

Find anomalies in streaming video, audio, IoT data or in transaction data.