Integration & Data Engineering
Build. Connect. Scale. Trust.
Seamless data engineering and integration, without the silos.
Data is only valuable when it flows seamlessly across your organisation. We design and build robust, scalable data pipelines that connect your systems, standardise your data, and create a reliable foundation for analytics, AI, and activation. Built on Google Cloud, our solutions ensure your data is always available, trustworthy, and ready to support business decisions.
Engineering a Reliable Data Foundation
Our approach to integration and data engineering begins with a solid foundation. We focus on creating clean, well-governed, and scalable data pipelines that can grow with your business. By combining proven engineering practices with cloud-native services on Google Cloud, we ensure your data is not just integrated, it’s reliable, performant, and future-proof.
We don’t believe in one-off pipelines. We build reusable, automated, and monitored data flows that support analytics, AI, and operational use cases across your organisation.
What Integration & Data Engineering Enables
With Crystalloids as your data engineering partner, you gain more than connected systems. You gain confidence in your data and the flexibility to innovate faster. We help you to:
Seamlessly connect your data and applications.
Connect systems such as Salesforce, Dynamics 365, Exact, and custom applications, no matter where your data resides, using Google Cloud’s robust integration services.
Gain deeper insights from your data.
Consolidate data from disparate sources into a central data platform, enabling real-time analytics and data-driven decision-making.
Boost productivity and efficiency.
Automate data ingestion, transformation, and validation so teams can focus on strategic initiatives instead of manual work.
Reduce costs and complexity.
Leverage reusable patterns, templates, and connectors to shorten development time and reduce operational overhead.
Enhanced security and compliance.
Protect sensitive data with Google Cloud’s built-in security, access control, and governance capabilities.
Unlock innovation and agility.
Create a connected data landscape that enables faster experimentation, new use cases, and the flexibility to adapt to change.
Integration & Data Engineering Solutions We Deliver
A cost-effective, low-code and no-code solution for integrating operational and external applications. Designed for high-volume scenarios with a pay-as-you-go model, eliminating upfront capacity costs. Includes standard connectors for platforms such as Salesforce Marketing Cloud and Dynamics 365, enabling seamless integration without custom development.
Apigee simplifies API management and governance, making APIs easy to publish, secure, and monitor. With an intuitive interface, teams can manage APIs without backend complexity, ensuring scalable, secure, and cost-effective API integration across the organisation.
Not every system offers a reliable, ready-made integration. We design and maintain custom connectors that integrate business-critical platforms directly into your Google Cloud data foundation.
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Built as production-grade, reusable solutions
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Designed to handle API limits and schema changes
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Monitored and maintained as part of your platform
Available connectors include:
Dataflow accelerates data processing and transformation with fully managed, serverless pipelines. Automatic scaling and infrastructure management allow teams to focus on building pipelines while maintaining performance and cost control.
Pub/Sub enables reliable, real-time data ingestion and distribution across systems. With automated server management and elastic scalability, it supports event-driven architectures without operational overhead or budget surprises.
Faster Shopify Migration with Google iPaaS
Connect Exact Online with your other systems using Google iPaaS
Why Choose Crystalloids and Google Cloud
By partnering with Crystalloids and Google Cloud, you gain access to:
A team of experienced integration specialists
Our team has extensive expertise in Google Cloud technologies and understands the unique challenges of integrating diverse data sources.
