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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Outbrain | Professional Services | 1016 | $1.0B | United States | Google Cloud Dataproc | Analytics and BI | 2017 |
In 2017 Outbrain planned a migration of its research Hadoop/Spark cluster to Google Cloud Dataproc. The migration to Google Cloud Dataproc, executed starting January 2018, placed the deployment squarely in the Analytics and BI category to support data science and research analytics workloads.
The implementation centered on running Spark research jobs on managed Dataproc clusters with autoscaling enabled and use of preemptible nodes to optimize cost and capacity. Google Cloud Dataproc hosted ephemeral clusters for interactive and batch research workloads, enabling researchers to spin up Spark runtimes and scale compute independently from storage.
Operational scope focused on Outbrain research and data science teams, with a noted acceleration of research project turnaround in Israel. The migration reduced infrastructure costs by approximately 40 percent, an outcome recorded during the post migration period.
Implementation and rollout were driven by DoiT International, which led configuration, provisioning, and operational handoff beginning January 2018 after late 2017 planning. Governance emphasized cloud cost controls and autoscaling policies for Dataproc clusters, aligning platform configuration with research analytics workflows and operational ownership by the data science organization.
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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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Lightricks | Professional Services | 650 | $150M | Israel | Amazon Web Services (AWS) | Amazon Redshift | Data Warehouse | 2019 |
In 2019, Lightricks implemented Amazon Redshift as its Data Warehouse on Amazon Web Services. The deployment was executed with support from DoiT International, positioning Amazon Redshift to centralize analytics workloads for usage, marketing, and financial reporting.
Engineering and analytics work focused on building ETL pipelines and extensive performance tuning, with Senior Data Analysts developing SQL and Python optimizations to enable complex dashboards and views. Amazon Redshift served as the core Data Warehouse, feeding Tableau reports and supporting query patterns that required specialized SQL and tool specific optimizations.
Operational integration included Tableau for visualization and a subsequent migration path to Google BigQuery realized through a custom Python program that converted Redshift queries and database specific identifiers. The environment incorporated dbt for refactoring and redesign of the data model, aligning transformation logic with analytics, marketing, and finance reporting needs.
Governance emphasized standardizing SQL patterns and formalizing dbt driven models to control schema and transformation logic, while custom optimization methods were documented because some reports could not execute without those interventions. DoiT International provided implementation guidance on AWS provisioning for Amazon Redshift, and the combined architecture centralized reporting workflows and ETL orchestration within the Data Warehouse layer.
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Professional Services | 650 | $150M | Israel | Google Kubernetes Engine | Container Service | 2022 |
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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 | 3 | $1M | United Kingdom | Google Cloud Composer | Extract, Transform, and Load (ETL) | 2020 |
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