Incorta Is a Different Kind of Data Analytics Platform
Unified Analytics Platform
Incorta consolidates data management and analytics into a single integrated platform for data acquisition, storage, analysis, visualization, and reporting. The complete, end-to-end data platform eliminates the need to stitch together data and manage multiple disparate systems.
Modern Data Architecture
Incorta combines an open data lake with in-memory analytics for both durable storage and responsive queries. Multiple workloads can be served with the built-in Spark engine, including big data processing, data enrichment, and machine learning. This translates into less friction, more consistent answers, and faster innovation.
Incorta Direct Data Mapping delivers fast query performance without the need to manually reshape or transform the data. You can ask any question and immediately explore in any direction. This means less waiting and more insight and innovation for your business.
What Makes the Incorta Data Analytics Platform Different?
Incorta’s unified data analytics platform delivers high-performance data analytics without the cost and complexity of traditional solutions. Direct Data Mapping eliminates the need for time-consuming data engineering, including ETL/ELT and data warehousing. An open data lake acts as the single source of truth for business intelligence, analytics, and machine learning. Spark is integrated for complex processing, machine learning, and parallel operations. An approachable yet extensible data analytics layer serves business users, analysts, data scientists, and developers. This all translates into much faster implementations, more actionable data, better security, and true end-to-end self-service.
Incorta analytics platform connects to any data source with an extensible connector architecture and access to 240+ data drivers. Full, incremental, and parallel loads are supported.
Extensible connector architecture — 50+ pre-built, integrated connectors make it easy to configure popular data sources, and our connector architecture with 240+ data drivers connects to almost any database, enterprise application, data stream, and data file format.
Parallel data loading — Large data sets can be partitioned and loaded in parallel using multiple concurrent Spark processes.
Schema loading and introspection — Each connector can interrogate the data source for column names, data types, null handling, cardinality, and relationships.
Physical schema — A data catalog of physical structures that determines what data will be loaded from a data source. Schemas also include data relationships, filters, and computed columns.
Direct Data Mapping — Preprocesses raw data to determine all potential query paths, enabling fast queries on normalized (application) data models without data reshaping or transformations.
Incorta leverages data lake architecture with metadata, upsert capability, and multi-version read consistency. Data management is provided via the embedded Spark 3.0 engine, with support for big data processing, data enrichment, and machine learning.
Data lineage — Ability to discover sources of computed or compound metrics and perform “where used” analysis. Report on changed or missing objects.
Open standards — No vendor lock-in (Parquet, Spark, SQL, PySpark, Scala, R, Zeppelin).
Shared storage — Data and metadata is stored on an elastic cloud service.
Single source of truth — Engineers, data analysts, data scientists, and business users all access and work against the same data.
Security — Assign privileges based on user accounts, groups, and roles. Security includes access controls, encryption, attribute-based dynamic row filtering, single sign-on (SSO), and auditing.
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 storage as needed, unless a data table has been specifically configured to always remain in memory.
Memory-optimized analytics engine — Data analytics optimized for fast and memory-efficient operation and is accessible using Incorta Data Analyzer, or third-party BI tools like Power BI or Tableau. Breakthrough performance on raw, normalized data via Direct Data Mapping.
Data Analyzer — A drag-and-drop, easy-to-learn, data exploration and visualization tool that leverages business semantics and boasts a wide variety of visualizations.
Dashboards — Group visualizations, data tables, and KPIs for data consumers. Personalize the data shown, apply filters, and click to drill into details.
Mobile app — Native iOS application for mobile users.
Data catalog — Incorta business schemas are aggregations of one or more physical schemas to represent business concepts and simplify the data model for business users. Can be created without code using the Data Analyzer.
SQL access — Available in both the in-memory analytics engine and the on-disk data hub for third-party BI and analytics tools such as Tableau, Power BI, and others.
Incorta Unified Data and Analytics platform is for Everyone in Your Business
Incorta is simple, fast, and elastic. An end-to-end solution, the unified analytics platform consistently delivers better business outcomes for all your data needs. Incorta Direct Data Platform provides integrated user access to all components of the data pipeline, allowing users to be more self-sufficient and agile.
With Incorta you can skip costly and time-consuming data warehouse projects and focus on delivering data, insights, and real business results.
Fast Time to Value
Since Incorta’s data analytics platform does not need pre-optimized data to achieve fast performance, data can be made immediately available to end users. This shrinks lengthy BI implementations from months to just days. Users can start their experiments on the fly, test and prove value incrementally, and scale in later stages rather than asking for large upfront investments.
Since detailed, granular business data is brought into the Incorta, and none of the data is thrown away, users can easily drill from summary aggregates to detailed records or line-item transactions. No special applications, coding, or predefined drill paths are necessary. This allows users to seamlessly transition from forecasting strategic trends to performing tactical root cause analysis.
Security Without Compromise
Fine-grained data enables fine-grained data security that can faithfully replicate the source system security, evaluating hierarchies and row/column-level permissions at runtime. There is no longer a need for trade-offs between data fidelity, performance, privacy, and controls.
The promise of self-service analytics has been made for years. The problem was that “self-service” only extended to the query tools. When business users needed more data, different processing, or even different cuts or rollups, instead of “self-service” it was “ask IT.” Incorta enables business users across the whole data pipeline with true end-to-end self-service.
A commissioned study conducted by Forrester Consulting reveals a customer ROI of 313% and total benefits of over $14 million over three years for Incorta's Direct Data Platform. Download the report to learn more.
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