Migrating from a traditional RDBMS (such as Oracle) to a NoSQL database (such as Cassandra, MongoDB, HBase, DynanoDB)

If you have a growing relational database management system, you may be experiencing:

  • Performance problems resulting from growing data volumes
  • Increasing costs of software and hardware as you scale
  • Growing demands to handle unstructured as well as structured data


The solution

Migrating to a NoSQL database (such as Cassandra, MongoDB, HBase, DynamoDB) can improve performance, reduce costs and bring additional flexibility.

The outcomes

Reduced costs

Zero or minimal licensing fees, the ability to use commodity hardware to scale out and lower management costs as a result of automatic repair and data distribution features can all add up to significant cost savings.

Flexible data options

The ability to ingest data “as-is” means faster ingestion and the option to store any type of data – structured or unstructured – brings flexibility not possible in a traditional RDBMS.

Performance and reliability improvements

As NoSQL databases are designed to expand transparently to take advantage of new servers, redundancy can be created across the implementation, providing high availability.

How Pythian can help

With extensive expertise across the areas of database, infrastructure, big data and cloud, Pythian can develop, implement and support your database migration.  Pythian will:

  • Assess if a database migration to NoSQL is right for you
  • Help you select the best technology for your needs
  • Design your migration plan
  • Implement or assist in implementation – in the cloud or on premises
  • Provide ongoing management of your Cassandra or MongoDB environment


Why Pythian

  • Experts in NoSQL on premises and in Amazon AWS, Microsoft Azure, Google Cloud
  • Expertise not just in NoSQL but in the RDBMS to be migrated from
  • Proven methodology for success built upon experience
  • Ongoing 24/7 support services available

Detailed Services


Assess if a NoSQL strategy is right for you

  • Identify existing RDBMS issues that could be solved with a NoSQL database
  • Analyze use cases and requirements
  • Conduct a thorough data source review and analyze potential future data growth
  • Identify and quantify opportunities for cost savings and performance improvements

Learn more about Pythian’s consulting services. >


Design a NoSQL solution

  • Provide vendor-neutral hardware and technology recommendations
  • Design a solution that addresses cost savings and performance issues
  • Propose an architecture design that fits into the overall technology environment
  • Deliver detailed recommendations and a roadmap for implementation

Implement or assist in implementation

  • Provide advisory and implementation services for NoSQL, either on premises or in the cloud (AWS, Azure, Google)
  • Install and configure the NoSQL database
  • Migrate data from the RDBMS and other sources to the NoSQL database
  • Configure data access
  • Implement security
  • Conduct performance testing

Learn more about Pythian’s implementation services. >


Provide ongoing management of the Hadoop environment

  • Provide 24×7 environment monitoring, troubleshooting and escalation
  • Patch selection and installation
  • Proactive health checks and issue resolution
  • Planning and execution of backups, recovery and tuning as required
  • Performance monitoring and tuning
  • Security and configuration management
  • High availability support  
  • Creation of a disaster recovery plan

Learn more about Pythian’s managed services. >