Abstract: Partitioning data across shared permissioned database storage for multiparty data reconciliation. A system includes an execution platform comprising a plurality of processing nodes and a shared permissioned ledger comprising a plurality of ledger instances, wherein each of the plurality of ledger instances is assigned to one client of a plurality of clients, and wherein storage resources on the shared permissioned ledger are independently scalable from the plurality of processing nodes on the execution platform. The system includes a resource manager in communication with each of the execution platform and the shared permissioned ledger, wherein the resource manager comprises a data ingestion engine.

Abstract: Systems, methods, and devices for high-throughput data ingestion from a plurality of disparate and independent sources, and decentralized normalization, storage, and analysis of ingested data. A system includes a shared permissioned ledger comprising a plurality of independent ledger instances. The system includes a processor in communication with the shared permissioned ledger, wherein the processor matches a plurality of data entries stored on the shared permissioned ledger that each pertain to a transaction between a first client and a second client. The processor determines whether each of the plurality of data entries agree with each other to a threshold degree regarding the transaction between the first client and the second client.

Abstract: Partitioning data across shared permissioned database storage for multiparty data reconciliation. A system includes an execution platform comprising a plurality of processing nodes and a shared permissioned ledger comprising a plurality of ledger instances, wherein each of the plurality of ledger instances is assigned to one client of a plurality of clients, and wherein storage resources on the shared permissioned ledger are independently scalable from the plurality of processing nodes on the execution platform. The system includes a resource manager in communication with each of the execution platform and the shared permissioned ledger, wherein the resource manager comprises a data ingestion engine.

Abstract: Reconciliation and subscription-model permissions of data stored across independent ledger instances of a database. A system includes a resource manager coupled to a plurality of client accounts. The system includes an execution platform and a shared permissioned ledger comprising independent processing and storage nodes for executing data operations for the plurality of client accounts. The resource manager defines a settlement group comprising one or more client accounts and authenticates an observer node associated with the settlement group. The resource manager assigns ingested data an encryption level on a key hierarchy based on content of the ingested data.

Abstract: Systems, methods, and devices for high-throughput data ingestion from a plurality of disparate and independent sources, and decentralized normalization, storage, and analysis of ingested data. A system includes a shared permissioned ledger comprising a plurality of independent ledger instances. The system includes a processor in communication with the shared permissioned ledger, wherein the processor matches a plurality of data entries stored on the shared permissioned ledger that each pertain to a transaction between a first client and a second client. The processor determines whether each of the plurality of data entries agree with each other to a threshold degree regarding the transaction between the first client and the second client.

Abstract: Reconciliation and subscription-model permissions of data stored across independent ledger instances of a database. A system includes a resource manager coupled to a plurality of client accounts. The system includes an execution platform and a shared permissioned ledger comprising independent processing and storage nodes for executing data operations for the plurality of client accounts. The resource manager defines a settlement group comprising one or more client accounts and authenticates an observer node associated with the settlement group. The resource manager assigns ingested data an encryption level on a key hierarchy based on content of the ingested data.

Abstract: Partitioning data across shared permissioned database storage for multiparty data reconciliation. A system includes an execution platform comprising a plurality of processing nodes and a shared permissioned ledger comprising a plurality of ledger instances, wherein each of the plurality of ledger instances is assigned to one client of a plurality of clients, and wherein storage resources on the shared permissioned ledger are independently scalable from the plurality of processing nodes on the execution platform. The system includes a resource manager in communication with each of the execution platform and the shared permissioned ledger, wherein the resource manager comprises a data ingestion engine.

Abstract: Reconciliation and subscription-model permissions of data stored across independent ledger instances of a database. A system includes a resource manager coupled to a plurality of client accounts. The system includes an execution platform and a shared permissioned ledger comprising independent processing and storage nodes for executing data operations for the plurality of client accounts. The resource manager defines a settlement group comprising one or more client accounts and authenticates an observer node associated with the settlement group. The resource manager assigns ingested data an encryption level on a key hierarchy based on content of the ingested data.

Abstract: Analysis of data streams consumed by high-throughput data ingestion and partitioned across permissioned database storage. A system includes a resource manager coupled to a plurality of client accounts. The system includes an execution platform and a shared permissioned ledger comprising independent processing and storage nodes for executing data operations for the plurality of client accounts. The system includes a data ingestion engine comprising a plurality of node-specific ingestors and node-specific normalizers for consuming and normalizing data stream even channels pushed by the plurality of client accounts.