WHY CHOOSE DATAPULT?

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FAST TRACK YOUR ORGANIZATION TO ANALYTICS-READY STATUS IN RECORD TIME

RELIABILITY


Utilizing SQL Server Integration Services and with only one generic package for all tables, ETL is generated programmatically on the fly using the meta-data of the fact and dimension views.

Our dynamic interface allows users to spec out their fact tables while respecting the referential constraints of the source database.

Datapult builds your SQL for you.
Generic, self-building ETL means no
programming is needed on the ETL layer.

Rock Solid SQL

ROCK-SOLID SQL
FOR FACT VIEWS


Dynamic Warehouse comes with an intuitive de-normalization engine to help you build solid, performant views that will be the source of your warehouse’s data.

BEST-PRACTICE


Following an intuitive star-schema approach,
your data warehouse will be easy to query.

Leveraging SQL Server’s most powerful functionality, Datapult Dynamic Warehouse is always up to date (CDC) and never causes locks (Snapshotting).

Datapult’s “Denormalization Engine” UI is designed utilizing SQL best practices, meaning your source SQL will be performant and bug-free.

TRANSPARENCY


Intelligent Data Dictionary Generation:

Data dictionary generation right out the box as well as comprehensive upgrade documentation for version release time.

Datapult encompasses built in Source Control for any view changes with full edit history and compare.

Datapult data warehouses adapt to reflect changes to source databases. The dynamic software has the capability to generate upgrade scripts and documentation prior to shipping new product versions of source systems.

Performance

REAL-TIME SYNCHRONIZATION
& BREAKNECK PERFORMANCE


Datapult applies SQL Server snapshotting when it runs the initial back-load, thereby circumventing performance issues.

The Dynamic Warehouse eradicates locking in the production system that may otherwise have occurred whilst running a large data flow of this nature.

Your Datapult database will never be more than a minute behind production, therefore functioning in real time.

Event-based synchronization and the SQL best practices enforced by the denormalization engine mean that real-time synchronization has no effect on the source performance.

Source Control

INGRAINED
SOURCE CONTROL


Datapult stores all metadata from fact queries in a stand-alone repository, enabling collaboration and sign-off prior to go-live.

The inimitable source control facilitates rollbacks
and change-tracking.

Data

ADDING DEXTERITY TO YOUR DATA

Datapult’s dynamic warehouse transforms data optimized for a heavy transactional system and transfers it to one better suited for analytic querying. Therefore, enabling
business users to query read-only optimized database and return business intelligence-rich results for extremely large data sets in blisteringly fast response times.

Data insights

DATA INSIGHTS

Enable data-inspired insights for all business users.

Centralize the entirety of your business’s data.

Trustworthy data business can rely on.

Empower business units to make smarter decisions.

Cost

COST-REDUCING AUTOMATION

Removes custom programming traditionally required when building a data warehouse.

Eliminates the administration and management demands of traditional data warehouses.

Systematically takes care of infrastructure, ETL and data governance, allowing you to use your data instead
of managing it.

Speed

ACCELERATE ANALYTICS FOR LESS

Fast-track your organization to analytics-ready status
in record time.

Significantly reduce costs associated with preparing your data for analysis, mining and machine learning.

Enable swift and accurate Business Intelligence reporting.

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WHO WE HELP

IT


Struggles to defend large investments associated with traditional data warehouses
  • Enables improved Data Governance
  • Eliminates custom programming, SQL coding and ETL package writing
  • Amasses organization’s data in one centralized location
  • Eliminates administration and management demands of traditional data warehouses

FINANCE


Experiences difficulty, understanding and allocating large data warehousing costs
  • Substantially reduces costs associated with traditional data-warehousing projects
  • Significantly accelerates and increases Return on Investment (ROI)
  • Enables more time for analysis by reducing time spent on data preparation
  • Helps Finance identify short term cost reduction opportunities

BUSINESS


Struggles with inaccurate data and cumbersome reporting processes
  • Enables access to a database functioning in real-time
  • Empowers Business to make smarter, data-inspired decisions
  • Facilitates access to swift, accurate business reporting
  • Enables peace of mind due to SQL best practices and trustworthy data
Datapult