A Radically Different Approach to Enterprise Data

Insights at the speed of thought and true self-service data analysis for everyone in your business.

The Incorta Direct Data Platform

Success for your BI and analytics projects is finally here. Incorta customers, including some of the most well-known brands in the world, rely on the groundbreaking Incorta platform to deliver amazing speed, flexibility, and value to their users.

Incorta is a unique data and analytics product that consolidates the most essential data pipeline tools, data science and data enrichment tools, and data analytics tools into a true self-service data experience.

Data from a variety of sources including applications, databases, streams, and files are easily brought together, processed, and delivered to any kind of user, whether a business data consumer, a data analyst or even a data scientist.


The main difference between Incorta and other other platforms is that it doesn’t require that data be reshaped and aggregated to fit an analytical, or dimensional model. Incorta is able to analyze complex, full-fidelity business data in real-time.

This means a single repository of data, and a single-source of truth for multiple workloads including business intelligence, analytics and machine learning. It also means incredibly fast performance whether you are using Incorta’s native tools, using various 3rd party BI tools like Power BI or Tableau, or you are doing data science inside of a Spark notebook.

Incorta can be hosted in the cloud, or run on-premises. It can work against shared storage, networked storage, cloud storage, or in a hybrid storage model. Incorta can be run standalone, or as a component within a larger analytics and business intelligence technology portfolio.



No more waiting. Incorta delivers billions of rows, ready in minutes, with full data fidelity.

The secret is Incorta’s Direct Data Mapping engine, a revolutionary approach that automatically analyzes the data and eliminates the need for data modeling, aggregations, cubes, or optimization of any kind.

Other systems require data transformation, reshaping your transactional data into a new summary model to provide acceptable query performance. This is a big effort that asks you to pose questions weeks or months ahead of being able to see results. And it strips away the original detail and data relationships. If you think of a new question, it’s often back to the drawing board. This limits your ability to explore, iterate and innovate with data.

With Incorta, you can analyze large amounts of raw business data in real-time without transformation, while also being able to drill into the details, ask any question, and even train machine learning models.

The value to your organization is immense: Individuals and teams can spin up experiments on the fly, testing and proving value incrementally, and scaling in stages rather than asking for large investments upfront. We believe the winning strategy for analytics is: take a small step, show value, and repeat.



You want the ability to explore your data world at the speed of thought, rapidly testing ideas and discovering new insights while eliminating frustrating waits.

In addition to Incorta’s breakthrough speed-to-value, Incorta gives users blazingly fast query performance. In a word: Speed.

Incorta leverages Direct Data Mapping with an in-memory, columnar analytics engine that is fast, memory efficient, and easy to operate.

As Incorta’s DDM processes data, it results in a data set that is actually smaller than the source data, as opposed to most dimensional modeling schemes which create a data set that is larger than the source data. This means efficient cluster data transfers, and fast data loads into memory.

And, while most other solutions just compress data on-disk and uncompress it as it is read into memory, Incorta maintains a columnar and compressed data organization both on-disk, and in-memory. This makes it possible to analyze 10x to 20x more data than would normally fit into available memory.

However, Incorta is not memory-bound. Data is dynamically loaded from disc as needed, unless a data table has been specifically configured to always remain in memory.

Incorta DDM replaces cost- and rule-based optimizers, and does not require any query tuning or query statistics maintenance for good analytics performance. This means easier operations and more consistent performance.



The next generation of data analytics platforms are able to leverage inexpensive cloud storage options like Amazon S3, Google Cloud Storage, and Microsoft Azure Data Lake Storage Gen2. These services are setting the standard for availability, performance, security, scale, and low-cost.

Open standard file formats such as Parquet provide both archival data durability and analytics performance without the risk of vendor lock-in.

If you don’t already have a data lake, Incorta builds one for you with point-and-click support for a huge variety of databases, technologies, and enterprise applications.

Unlike a data warehouse, Incorta maintains all of your data in its original form, providing you with a single source-of-truth for strategic and operational decision-making, data science and machine learning, and other computational workloads.

Original, full-fidelity data means the freedom to ask any question, traverse drill paths and hierarchies, perform root cause analysis, explore unlimited perspectives, and go from top-line KPIs to supporting transactional records in the blink of an eye.

Incorta customers routinely skip past costly and time-consuming data warehouse projects, and focus on delivering data, insights, and real business results.



In today’s business environment, analytics is not just for executive teams. Agile teams put analytics at the point of work, making data a core driver of decisions made at every level.

And some are going even further: instead of looking at data about the business, ground-breaking companies make their business about the data.

These new business models require data science, advanced analytics and machine learning. And machine learning requires massive amounts of raw transactional data, the kind of data that Incorta can serve up with blazing speed to multiple computational workloads.

However, deploying machine learning models is complex because the model is only one component of a predictive system. In addition to data management, there is process management, monitoring, resource management and analysis of the output.

Incorta makes data science ‘just work’ by tightly integrating models into the analytics data pipeline.

  • Incorta bundles a preconfigured Spark cluster for running data enrichment tasks including machine learning, and for parallelizing operations such as data loading and data reduction.
  • Complex operations can be easily scripted with integrated Python, Scala, R and SQL notebooks.
  • An integrated machine learning library makes it easier to set up time-series predictions, outlier detection, classification, and many other models.
  • Built in job scheduling makes it easy to orchestrate model retraining, predictions and monitoring.
  • Easy to use data analysis and visualization tools provide data validation, insight discovery and presentation of findings.

By merging data management, analytics and data science into a single platform, Incorta means more data science with less data wrangling.



IT is no longer measured by how well it provides reports and dashboards. Data practitioners are now measured on their ability to expand access to data—enriching, distributing and securing clean and accurate data sets that can be utilized by data consumers throughout the organization.

There have been decades of unmet promises of a true end-user, self-service and ad-hoc analysis solution with limited IT required. The problem has been analytics pipelines that are made of specialized components. An ETL tool made for data engineers. An analysis tool made for business analysts. Data preparation tools made for data scientists. Business users can’t use these tools, and don’t have access to all of the data.

Incorta provides a real end-to-end self-service user experience. It lets anyone curate, refine, visualize and share data insights.

  • Starting with point-and-click data connectors to a wide variety of data sources, users are able to connect to data, generate schemas and descriptions, and load the data without IT.
  • Users can build up a business-friendly semantic layer that groups data together into logical data sets that can be further refined and explored in the visual data analyzer. This promotes data consumer confidence and usability.
  • A powerfully simple visualization and dashboarding tool can be used without training and without high licensing costs so that truly everyone in the organization can leverage better data.

Incorta’s unified data analytics platform ensures data quality, collaboration, reuse, and data governance. This ensures that all users get secure and consistent answers.



While Incorta customers cover every industry and come in every size—the data design against common business applications is largely consistent. So why reinvent the wheel?

Blueprints capture the best practices and pre-built content for accessing, organizing and presenting data from popular business solutions such as Oracle e-Business Suite, ERP Cloud, Netsuite, SAP, JD Edwards, and Salesforce.

They include schemas for multiple functional areas in each application, business schemas that pull together key metrics, sample reports, visualizations and sample dashboards. After installation of the blueprint in your instance, only light customization is needed to the source schemas to adjust for local customizations and feature preferences. The result is dramatic—speeding time-to-value by greatly reducing the amount of work needed to give users baseline reports and KPIs.

Blueprints help organizations get up and running quickly, and are the best way to jumpstart your analytics journey on Incorta.

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Incorta analytics are used by some of the most valuable brands in the world. Their requirements for security, reliability and system integration are stringent, and fortunately Incorta is up to the task.

Data security and integrity is maintained by securing data in transit, securing data at rest, integration with security platforms and role-based access controls.

  • Incorta gives IT a centralized data analytics platform that integrates with existing security systems such as Okta, OneLogin and Microsoft Active Directory, granting access based on user- or role-based permissions.
  • Single Sign-On (SSO) supports SAML2, AD, LDAP protocols, and user passwords are encrypted with AES 128.
  • Incorta is unique among analytics platforms in that we retain all application-level security parameters, including row-level security for data access by copying original security settings from each source application. This reduces security risks inherent in attempting to rebuild a security framework.
  • Data in transit, between data sources or different components is encrypted via TLS 1.2
  • Data in storage is protected using full, 128-bit AES encryption, rotating keys and no client-side data caching, optionally encrypted with external keys.
  • Individual data columns can be restricted and/or encrypted. Individual data rows can be contextually restricted using session variables and runtime security filters.
  • User authentication is via password encrypted with AES 128 or SSO via SAML2, AD, LDAP protocols.

Monitoring of access to data and computational resources is achieved using external logs that are auditable using Incorta dashboards or third-party security applications.

Integration with other systems is offered via:

  • An Applications Programming Interface (API) and Command Line Interface (CLI) to work with schemas, trigger loads, manage dashboards, implement security, and synchronize SSO.
  • A Software Development Kit (SDK) for creating new data connectors.
  • A SQL interface to both the Incorta in-memory engine, and the Spark SQL engine that lets popular tools such as Tableau and Power BI benefit from vastly improved query performance.