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Data Warehouse as a Service

Data Warehouse as a Service - ScienceSoft

Data Warehouse as a Service (DWaaS) is a managed service, which involves the configuration and administration of hardware and software a DWH requires. ScienceSoft offers clients flexible data storage integrated with the existing data sources and analytics environment on a subscription fee basis.

DWaaS Is an Option to Consider, If You Experience at Least One of the Following Symptoms:

  • No company-wide insights because of disparate data and data silos.
  • Missed opportunities for process optimization because of poor data quality and low DWH performance.
  • Too high DWH implementation and administration costs.

What You Get with Data Warehouse as a Service by ScienceSoft


Data warehouse configuration and development


DWH integration


Data migration and data cleaning


Continuous support and administration


On-demand DWH configurations

Success Stories on Data Warehouse Services

Why Choose ScienceSoft as Your DWaaS Vendor

  • 35 years of data analytics experience.
  • 19 years of data warehousing experience.
  • ISO 9001 and ISO 27001-certified to assure the quality of the data warehousing services and the security of the customers' data.

  • ScienceSoft is a 3-Year Champion in The Americas’ Fastest-Growing Companies Rating by the Financial Times.

Why DWaaS with ScienceSoft Is a Safe Choice

No risk of losing control over data

With DWaaS, we guarantee you have constant access to your data. Additionally, we offer you the in-house backup, so, in case, for some reason, you decide to opt for another vendor, you run no risk of being cut off your data.

Complete security and full compliance with relevant regulations

We develop your DWaaS solution taking all needed security measures to safeguard your data and providing compliance with the relevant regulations and protocols (e.g., HIPAA, GDPR) that your business needs.

Up to 99.99% of data availability

We create our DWH solutions using services by leading cloud service providers, who guarantee 99.99% of service availability. Besides, our services are built according to ITIL processes, which contributes to eliminating DWaaS downtimes.

Technologies We Employ

  • Microsoft SQL Server
  • Azure Synapse Analytics
  • Azure Cosmos DB
  • Azure Data Lake
  • Google BigQuery
  • Amazon Simple Storage Service (Amazon S3)
  • Amazon Relational Database Service
  • Amazon DynamoDB
  • Amazon Redshift
  • Amazon Aurora
  • Vertica
  • Oracle
  • Snowflake
  • Teradata
  • MongoDB
  • SAP IQ
  • PostgreSQL
  • MySQL

Choose Your DWaaS Model

Data Warehouse as a Service

If you want to skip the complexities of DWH development, implementation and management and just store data for your self-service analytical solution, we are ready to customize a DWH solution to rent it out to you.

Start Data Warehouse as a Service

DWaaS + Managed Analytics Services

If you want to translate your raw data into meaningful insights without investing in developing and managing a full-scale analytical solution consisting of a DWH, a data lake, OLAP cubes and other possible elements, we offer DWaaS plus managed analytics services on a contractual or subscription fee basis.

Start renting my data analytics solution

Not Sure Which Option Is More Suitable for You?

ScienceSoft’s consultants will help you choose a service option and ensure that it is compliant with your business needs and goals.

Don’t Delay Your DWaaS Decision!

Turning to DWaaS is a sound decision, if your business needs the following benefits:

  • Consolidated data storage for data sources with no DWH development, implementation and support efforts.
  • High data quality.
  • An opportunity to quickly get company-wide analytical insights.
  • A highly effective DWH solution that supports needed analytical activities.
  • Lower total cost of ownership for the DWH.

Don’t Let Your Competitors Embrace Your DWaaS Benefits!

ScienceSoft is ready to develop a DWH solution, integrate it into your IT environment and take over its administration to let you concentrate on running analytics and winning the competition.