Pythian’s team of global experts will apply their experience and knowledge to thoroughly examine your big data challenges and goals, and tailor a solution that meets your specific business needs— whether it’s superior performance and scalability, database modernization or advanced analytics.  

Pythian has been providing Hadoop solutions to clients since Hadoop first came to market,  and have created innovative solutions across Apache Hadoop and all of its ecosystem components including: Kafka, Hive, Pig, MapReduce, Spark, HDFS, HBase and more.  


Whether you want to use Hadoop as a staging area for disconnected data sources, offload heavy data processing tasks to improve performance, or use Hadoop as a central data repository for analytics, Pythian has the experience to provide end-to-end services on your Hadoop deployment.

  • Data consolidation strategy
  • Architectural review and design
  • Hadoop ecosystem technology selection and implementation: Hive, Spark, Pig, Sqoop, Flume, Oozie, MapReduce, HDFS, Kafka and more
  • Hadoop distribution expertise: Apache Hadoop, Cloudera, MapR, Hortonworks
  • Integration with NoSQL and relational databases such as MongoDB, Cassandra, HBase and others such as Oracle Database, Microsoft SQL Server and Oracle Exadata
  • Data ingestion design
  • Cluster installation and configuration
  • Data warehouse offload and modernization
  • Data governance conformance
  • Performance tuning and optimization
  • Data consolidation and integration
  • On-going operational support

Pythian’s big data team implements solutions that help clients derive value and gain actionable insights from large data volumes stored in their Hadoop cluster. Achieve competitive advantage and gain insight with the right data at the right time.

  • Business case analysis and definition
  • Creation of analytics model prototypes
  • Hadoop cluster design and implementation for analytics
  • Batch query and stream processing configuration
  • Model, feature and visualization development
  • Data quality and consistency testing
  • Integration with websites and applications
  • Performance tuning and optimization
  • Solution operation and performance monitoring
  • Visualization, model and data ingestion updates

Pythian partners with industry leading cloud and Hadoop vendors to provide you with a cost-effective, scalable and always-available data platform

  • Cloud solution development
  • Cloud platform selection: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)
  • Detailed design and build
  • Hadoop deployment to Amazon EMR , Microsoft HDInsight, Google Cloud DataProc and more
  • Hadoop and data migration to the cloud
  • Hadoop cloud configuration
  • Data access and security configuration
  • Cloud platform testing and validation
  • Resource optimization for cost savings
  • Cloud solutions operations support


  • Business case analysis and development
  • Architecture and platform development
  • Installation and configuration of new technologies and tools
  • Cluster capacity planning
  • Data modeling
  • Hadoop performance tuning
  • Data warehouse migration
  • Hadoop cluster upgrades
  • POC through production solution; plan, build, deploy
  • Security requirements analysis, design, and implementation


  • Ongoing business outcomes optimizations of applications, data, and infrastructure
  • Hadoop cluster performance monitoring
  • Proactive and reactive monitoring
  • Continuous improvements and upgrades
  • Ongoing new data integration
  • Problem resolution, root-cause analysis, and corrective actions