The Koverse Data Platform (KDP) is built on a foundation of proven open source technologies including Apache Spark and Apache Accumulo.
The Koverse REST API, SDK, and user interface provides a level of interaction with data that does not exist with any other technology. Developers, data engineers and data scientists can work together on the same platform; resulting in a faster time to market for critical capabilities.
Our architecture is embedded with multi-level security provided by our unique attribute-based access control (ABAC) capabilities. Click on the + signs to learn more about the different components.
Koverse Technical Architecture
KDP provides one easy-to-use, fully integrated API and UI, protected with cell-level security.
Embed intelligent solutions within your organization to gain business insights; connect directly using existing tools or via your custom applications.
User Interface, API & SDK
KDP can import data from a range of external sources — relational databases, remote file systems, streaming sources and more. Upon ingest, Koverse indexes and tags every field within every record within every dataset, organizing the data into collections.
The result: securely stored, automatically searchable and pre-staged data for standardized and regulated execution of analytical processing.
Supported data sources include:
- SQL Server
- Amazon S3
- Build Your Own
KDP enables teams to create, develop and deploy unique algorithms to help answer virtually any question put to the data. Once created, algorithms can be reconfigured and reapplied to different datasets and use cases.
All analysis in Koverse is done via transforms. Transforms consist of multi-stage Spark or MapReduce jobs. Because Koverse provides a common data abstraction, transforms can be written once and applied to a variety of input collections, producing the greatest value for all efforts.
Secure Access & Search
KDP’s cell-level security model provides high security and high performance in the same system. Koverse presents a complete suite of security controls: row-, column-, and dataset-level visibility and dataset-level role-based permissions. These access controls are applied consistently to data across the entire platform to keep information secure regardless of how its used. Searches can be done via the Koverse UI or directly by custom solutions via the REST API. Koverse supports both SQL and Lucene search syntax.
Record Write, Mapreduce, Spark, Record Read, Spark SQL, Query
Koverse is a full function data platform, providing end-to-end functionality without the need to make and manage multiple copies of data. A unified access layer guarantees scalability and performance and enforces security and audit across ingest, analytics, query and export.
Koverse enables teams to work with Accumulo, hassle-free. When organizations need security, performance and scalability, there’s no technology more credible than Accumulo. Koverse is built entirely on the Accumulo database and makes all of Accumulo’s functionality easily accessible. Whether an organization has relied on Accumulo in the past or is just starting out, Koverse is the “easy button” for using it.
Accumulo runs entirely on the Hadoop File System and inherits all of the elegant scalability and data processing horsepower of Hadoop.
Koverse provides a flexible delivery model. KDP can be deployed on-premise or in the cloud.
The Koverse Data Platform (KDP) was created by the data architects who created Apache Accumulo, which is the foundation for the next generation data platform at the NSA. It was designed to support the mission of making data securely discoverable, accessible, and usable at scale.
Accumulo has had a massive impact on how information and data are managed and controlled throughout the intelligence and defense communities. Koverse brings the power of Accumulo to any organization by making it much faster, easier, and more reliable to build data/AI driven solutions.
Learn more about Accumulo: