Santa Clara, 95054, CA,
United States
DoiT International
DoiT International, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. DoiT International collaboration with software players such as Google, Amazon Web Services (AWS) and empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
| Reseller and SI | Vendor | Application | Category | Market |
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| DoiT International | Amazon Web Services (AWS) | Amazon Redshift | Data Warehouse | Analytics and BI |
| DoiT International | Google BigQuery | Data Warehouse | Analytics and BI | |
| DoiT International | Google Cloud Dataflow | Application Hosting and Computing Services | IaaS | |
| DoiT International | Google Kubernetes Engine | Container Service | IaaS | |
| DoiT International | Google Cloud Composer | Extract, Transform, and Load (ETL) | PaaS | |
| DoiT International | Google Cloud Dataproc | Analytics and BI | Analytics and BI | |
| DoiT International | Google Cloud Endpoints | API Management | PaaS |
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
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Lightricks | Professional Services | 650 | $150M | Israel | Google BigQuery | Data Warehouse | 2020 |
In 2020, Lightricks implemented Google BigQuery as its Data Warehouse to centralize analytics workloads and provide a single source for queryable datasets. The rollout was supported by DoiT International and deployed on Google Cloud Platform, with Google BigQuery configured to serve enterprise SQL analytics and dataset management. Data analysts were primary users, authoring complex queries and surfacing answers for division level decision making.
The implementation covered schema design, ingestion pipelines, and analytic dataset modeling to support KPI tracking and ad hoc analysis. Google BigQuery was configured to host partitioned and optimized datasets for performant querying and scheduled analytical jobs. Analysts connected Tableau to Google BigQuery to design informative dashboards and to operationalize KPI reports across business units.
Operational coverage centered on analytics and business intelligence functions across Lightricks in Israel, supporting division discussions and the breakdown of major business issues into measurable KPIs. The deployment emphasized query governance, dataset naming conventions, and role based access controls using Google Cloud IAM to manage analyst and consumer permissions. Data analysts translated business needs into SQL artifacts and published dashboards to standardize reporting workflows.
Governance and process changes formalized KPI definitions, query review processes, and dashboard publishing standards to improve consistency of analytical outputs. DoiT International provided implementation guidance for cloud configuration and operational practices to stabilize the environment. Google BigQuery functions as the central Data Warehouse for Lightricks analytics and dashboarding.
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Huq Industries | Professional Services | 3 | $1M | United Kingdom | Google Cloud Composer | Extract, Transform, and Load (ETL) | 2020 |
In 2020, Huq Industries implemented Google Cloud Composer to orchestrate Extract, Transform, and Load (ETL) and data engineering pipelines that ingest and process geolocation datasets for location intelligence in the United Kingdom. The deployment addresses high volume ingestion and near real time processing requirements, handling approximately 1 billion geolocation records per day.
Google Cloud Composer orchestrates Dataflow jobs for streaming transforms and batch pipelines, and schedules DAGs that perform enrichment, deduplication, and geospatial aggregation before landing into BigQuery. Composer was configured with environment level operators, DAG versioning, and monitoring hooks to support pipeline reliability, retry policies, and iterative development.
DoiT International supported the migration and optimisation to Google Cloud, integrating Composer with BigQuery and Dataflow and tuning resource usage and pipeline concurrency to meet throughput targets. Operational coverage centers on Huq Industries' UK location intelligence function, spanning data engineering and analytics teams.
Governance was implemented through centralized orchestration, standardized DAG patterns, and alerting workflows to manage near real time pipelines and operational incidents. The migration and Composer orchestration enabled near real time processing of about 1 billion geolocation records per day and improved cost efficiency.
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Lightricks | Professional Services | 650 | $150M | Israel | Google Kubernetes Engine | Container Service | 2022 |
In 2022 Lightricks deployed Google Kubernetes Engine as its primary Container Service to build a containerized infrastructure that supports machine learning workloads and backend services for its content creation apps. The Google Kubernetes Engine implementation was provisioned in weeks and tied directly to analytics pipelines that ingest around a billion events per day, enabling business intelligence, product optimization, marketing analytics, and recommendation engineering to operate at scale. The project explicitly served developer, data science, and DevOps functions and aimed to preserve user experience while increasing data throughput and compute availability.
The deployment combined Google Kubernetes Engine with BigQuery and Dataflow to automate high‑volume event ingest and near real time analytics, allowing scheduled queries to be prepared minutes before events are registered and sent. Engineers built Docker image pipelines and cluster deployment automation on Google Kubernetes Engine, while continuing to run machine learning training on Compute Engine and progressively migrating models to Vertex AI managed services. The architecture emphasized separation of storage and compute so that BigQuery handled analytics scale and GKE delivered on-demand compute for inference and backend services.
Integrations included BigQuery and Dataflow as the core ingestion and analytics stack, Compute Engine for existing model training, Vertex AI for planned managed model serving, and third-party services such as Cloudinary and Elasticsearch that are securely proxied off the private network. DoiT International assisted with synchronizing data lakes and on-premises compute to cloud clusters, and provided ongoing architecture and operational support for attaching GKE clusters to the companys machine learning systems. Network and security controls were configured to forward traffic to third-party services without exposing internal services to the public Internet.
Governance and rollout were executed with a small engineering and DevOps team, delivering a working Kubernetes infrastructure in weeks with DoiT International support, and moving operational focus away from cluster maintenance toward delivering product features. Outcomes stated by Lightricks include consistent compute availability whenever needed, cost effective operations with fewer personnel spent on cluster configuration, and the ability to process vast amounts of analytics data without inhibiting the user experience. The work on Google Kubernetes Engine underpins Lightricks plans for 2022 to expand backend services such as shared profiles and media upload, while scaling data science and recommendation systems.
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Professional Services | 650 | $150M | Israel | Google Cloud Dataflow | Application Hosting and Computing Services | 2022 |
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Banking and Financial Services | 230 | $60M | United Kingdom | Google Cloud Endpoints | API Management | 2019 |
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Professional Services | 1016 | $1.0B | United States | Google Cloud Dataproc | Analytics and BI | 2017 |
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Professional Services | 650 | $150M | Israel | Amazon Web Services (AWS) | Amazon Redshift | Data Warehouse | 2019 |
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