Our unique know-how locked in solutions you can implement to better serve your data needs

Based on our experience in delivering Big Data applications to our customer, we have created software solutions to speed up building data-powered applications for real-time stream processing, data analytics and Machine Learning, both on-premise and in the public cloud.

servers
  • GID MLOps Platform

    GID MLOps Platform

    • Full machine learning model lifecycle management that supports model training, validation, deployment and performance monitoring
    • Make your Machine Learning models more reliable and explainable with feature engineering
    • Monitor execution performance of your Machine Learning models, train them automatically to get more accuracy
    • Let your Data Scientists work with technologies they love, boost their productivity with Unified Analytics environment designed as a single point of access to all your data
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  • GID Streaming Analytics Platform

    GID Streaming Analytics Platform

    • Streaming analytics platform that allows you to automate getting actionable insights and reacting to them automatically, in real-time
    • Rich configuration to handle perfectly your business scenario
    • Designed for performance, scalability and accuracy
    • Use the same technology stack as top tech companies like Netflix, Uber, Zalando or Spotify
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  • GID Modern Data Platform

    GID Modern Data Platform

    • Give users access to your Big Data through scheduled dashboards and reports, help them prepare ad-hoc reports
    • Visualise and analyse your realtime data
    • Integrate all your data sources under one solution accessible for analytics and reporting
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  • Data Science Platform

    Data Science Platform

    • Unified Analytics environment designed as a single point of access to all your Data Science needs - support for Python, R, SQL and SAS is included
    • Schedule standard reports or give your Data Scientist freedom to performs ad-hoc reporting
    • Let your users browse through your data sets and discover data that is the most relevant for their research
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  • Data Lake Platform

    Data Lake Platform

    • State-of-the-art Data Analytics Platform without any license fees

    • Combined out of Open Source industry-standard tools or public cloud services to build foundation of your Data Lake

    • Track who and how is using your data, be GDPR compliant and secure your audit needs

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  • Google Cloud for Analytics

    Google Cloud for Analytics

    • Make your first steps with analysing data in the cloud

    • End-to-end cloud bootcamp program focused on delivering your real business use case

    • Within 6-8 weeks you will learn how to leverage Google Cloud technologies and build data-driven products

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~4.9 Stats on Clutch

Completed in half the estimated time and with a fivefold improvement on data collection goals, the robust product has exponentially increased processing capabilities. GetInData’s in-depth engagement, reliability, and broad industry knowledge enabled seamless project execution and implementation.

Wojciech Ptak
CTO

GetInData had been supporting us in building production Big Data infrastructure and implementing real-time applications that process large streams of data. In light of our successful cooperation with GetInData, their unique experience and the quality of work delivered, we recommend the company as a Big Data vendor.

Miłosz Balus
CTO

GetInData delivered a robust mechanism that met our requirements. Their involvement allowed us to add a feature to our product, despite not having the required developer capacity in-house.

Stephan Ewen
CTO

Their consistent communication and responsiveness enabled GetInData to drive the project forward. They possess comprehensive knowledge of the relevant technologies and have an intuitive understanding of business needs and requirements. Customers can expect a partner that is open to feedback.

Wilson Yu Cao
Development Team Manager

We sincerely recommend GetInData as a Big Data training provider! The trainer is a very experienced practitioner and he gave us a lot of tips regarding production deployments, possible issues as well as good practices that are invaluable for a Hadoop administrator.

Mariusz Popko
Platform Manager

The engineers and administrators at GetInData are world-class experts. They have proven experience in many open-source technologies such as Hadoop, Spark, Kafka and Flink for implementing batch and real-time pipelines.

Kostas Tzoumas
CEO

Our Projects

Stream Analytics Platform for a Telecom Operator

getindata flink real time processing platform.png

We supported the largest telecommunication company in Kazakhstan in building a modern stream analytics platform. The platform supports various use-cases like marketing campaigns, frauds and enabling/disabling services.

Main technologies: Flink, Kafka, Nifi, Hadoop, Druid

The platform has dramatically benefitted business and increased efficiency for subscribers. GetInData’s collaborative approach was seamless. Their attention to detail and expert code quality are noteworthy.

Alexey Brodovshuk
Software Development Supervisor

Full-Stack Big Data Platform

getindata trucaller big data platform.png

We are installing and managing a Big Data cluster for the world's largest mobile phone community (>250 mln users). We are implementing ETL and analytics jobs and ad-hoc queries for hundreds of terabytes of production data.

Main technologies: Kafka, Hadoop, Spark, Hive, Elasticsearch, Falcon/AirFlow, Kylin

GetInData acts in a way that is proactive, transparent, and above all, professional in every respect. When building solutions, they focus on providing maximum value, avoiding vendor lock-in and sharing knowledge. GetInData is an example of a model to which we would like all IT vendors to aspire

Umut Alp
CTO

Acast

acast anomali detection.png

Anomaly detection in podcasting at Acast. All these anomalies notifications are based purely on the data and simple logarithm curve fitting - it's unbelievable what you can achieve with data & math! This use-case takes advantage of data pipelines and large-scale data infrastructure on top of AWS that we work on implemented together with Acast.

Spotify

elephants in cloud.png

We managed an on-premise petabyte-scale Hadoop environment and took part in its migration to the Google Cloud Platform.

Main technologies: Hadoop, Google Cloud Platform, Kubernetes

Truecaller - armed with data analytics to control incoming calls

truecaller cloud journey getindata.png

We are building and using a robust, petabyte-scale and cost-effective Data Analytics Platform taking advantage of Google Cloud Platform and open-source technologies to collect, store, and analyze data of 250M users and 500k+ events per second.

Main technologies: Google Cloud Platform, BigQuery, Data Studio, Data Proc, Kafka, Spark, Airflow, Kubernetes

iZettle - Fintech data platform gets a boost from stream processing

izettle getindata strem processing google cloud platform.png

We built a data platform to get a boost from stream processing. iZettle looked for a solution that could help them with advanced analytics and growing data collection.

Main technologies: Google Cloud Platform, DataFlow, Big Query, Cloud Composer

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Data analytics, data managment and more - whatever your company needs, our solutions will help you create optimal data management processes.

  • Big Data for Business

    Big Data for Business

    If you want to know how we work with Big Data services for business, click the link below. On the GetIndata for Business site,we will tell you what the cooperation process looks like, how we deal with your project and how we choose the right tools.

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  • Knowledge base

    Knowledge base

    If you are interested in technical aspects of the Big Data solutions and Big Data Services we offer, go to the page where our specialists share their knowledge and experience in this field.

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Contact us

Interested in our solutions?
Contact us!

Together, we will select the best Big Data solutions for your organization and build a project that will have a real impact on your organization.


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