Abstract: The embodiments provide a cloud brainstorming service implemented on at least one cloud server. The brainstorming service includes a message service component configured to receive a plurality of ideas, over a network, from one or more users of devices. The users represent members of a brainstorming session. The brainstorming service also includes a brainstorming logic component configured to process the plurality of ideas and store the plurality of processed ideas in an in-memory database system, and a clustering component configured to retrieve the plurality of processed ideas from the in-memory database system and arrange the plurality of processed ideas into one or more clusters, where each cluster is a group of similar ideas. The message service component is configured to provide the plurality of processed ideas that are arranged into the one or more clusters, over the network, to the one or more users for display.

Abstract: A request handler may receive transaction requests for transactions to be executed using data of a database, and may classify a first transaction request of the transaction requests as a simple transaction request, and a second transaction request of the transaction requests as a complex transaction request. A key-value store engine may execute a first transaction satisfying the first transaction request, using a key-value store of pre-calculated results determined prior to receipt of the first transaction request, and based on the data, and may update a key-value delta reflecting a change, if any, of the key-value store caused by the first transaction. A relational store engine may cause the at least one processor to execute a second transaction satisfying the second transaction request, using a relational store including a subset of the data, and may update a relational delta reflecting a change, if any, of the relational store caused by the second transaction.

Abstract: A computer system includes at least one processor and at least one memory operably coupled to the at least one processor. The memory includes a memory pool and a database partitioned into multiple fragments. Each of the fragments is allocated a block of memory from the memory pool and the fragments store compressed data in a columnar table format. A database operation is applied in a compressed format to the compressed data in at least one of the fragments.

Abstract: Disclosed herein are technologies for demand management by providing a real time prediction model, using an elasticity matrix to quantify price change and demand, group customers based on their demand, set pricing per each group of customers, and optimize distribution. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Described herein is a technology to facilitate automated question answering. In one implementation, an input question is first received. Different search strategies may be used to search multiple types of data from multiple types of knowledge databases to generate one or more candidate answers to the input question. The one or more candidate answers are evaluated to generate a final answer to the input question.

Abstract: The embodiments provide an in-memory database system having an extraction module configured to extract data (e.g., business data and address data) from one or more external data sources and transform the data into a standard format, a geocoder configured to geocode the address data including obtaining spatial data based on the address data using an internal reference table, and an internal database configured to store the internal reference table, the business data, the address data, and the spatial data.

Abstract: A computer system includes at least one processor and at least one memory operably coupled to the at least one processor. The memory includes a memory pool and a database partitioned into multiple fragments. Each of the fragments is allocated a block of memory from the memory pool and the fragments store compressed data in a columnar table format. A database operation is applied in a compressed format to the compressed data in at least one of the fragments.

Abstract: A request handler may receive transaction requests for transactions to be executed using data of a database, and may classify a first transaction request of the transaction requests as a simple transaction request, and a second transaction request of the transaction requests as a complex transaction request. A key-value store engine may execute a first transaction satisfying the first transaction request, using a key-value store of pre-calculated results determined prior to receipt of the first transaction request, and based on the data, and may update a key-value delta reflecting a change, if any, of the key-value store caused by the first transaction. A relational store engine may cause the at least one processor to execute a second transaction satisfying the second transaction request, using a relational store including a subset of the data, and may update a relational delta reflecting a change, if any, of the relational store caused by the second transaction.

Abstract: Described herein is a technology to facilitate automated question answering. In one implementation, an input question is first received. Different search strategies may be used to search multiple types of data from multiple types of knowledge databases to generate one or more candidate answers to the input question. The one or more candidate answers are evaluated to generate a final answer to the input question.

Abstract: A system includes a request analyzer configured to receive a plurality of database requests and classify the plurality of database requests as transaction requester or non-transaction requests, and further configured to route the transaction requests to a transaction server for application against a transaction database, including write access to an identified portion thereof, and to route the non-transaction requests to a non-transaction server to thereby read data obtained from a non-transaction database. The system also includes an update manager configured to update the non-transaction database, based on the application of the transaction requests against the transaction database.

Abstract: The method includes determining at least one business objective on which to base a recommendation list for a first item, associating a configurable target with the business objective, the configurable target being based on a goal for a second item, determining at least one business constraint relating the first item with the second item, the at least one business constraint being based on the business objective and the associated configurable target and generating the recommendation list for the first item based on a list of candidate items and the business constraint.

Abstract: A system includes a request analyzer configured to receive a plurality of database requests and classify the plurality of database requests as transaction requester or non-transaction requests, and further configured to route the transaction requests to a transaction server for application against a transaction database, including write access to an identified portion thereof, and to route the non-transaction requests to a non-transaction server to thereby read data obtained from a non-transaction database. The system also includes an update manager configured to update the non-transaction database, based on the application of the transaction requests against the transaction database.

Abstract: The embodiments provide a cloud brainstorming service implemented on at least one cloud server. The brainstorming service includes a message service component configured to receive a plurality of ideas, over a network, from one or more users of devices. The users represent members of a brainstorming session. The brainstorming service also includes a brainstorming logic component configured to process the plurality of ideas and store the plurality of processed ideas in an in-memory database system, and a clustering component configured to retrieve the plurality of processed ideas from the in-memory database system and arrange the plurality of processed ideas into one or more clusters, where each cluster is a group of similar ideas. The message service component is configured to provide the plurality of processed ideas that are arranged into the one or more clusters, over the network, to the one or more users for display.

Abstract: The embodiments provide an in-memory database system having an extraction module configured to extract data (e.g.