Search Results for "workload"

MatrixOne is a future-oriented hyperconverged cloud & edge native DBMS that supports transactional, analytical, and streaming workload with a simplified and distributed database engine, across multiple data centers, clouds, edges and other heterogeneous infrastructures. A monolithic database engine is designed to support hybrid workloads: transactional, analytical, streaming, time-series, machine learning, etc. MatrixOne supports seamless workload migration and bursting among different locations and infrastructures. ...

A high-performance NoSQL database based on bitcask, supports string, list, hash, set, and sorted set. rosedb is a fast, stable, and embedded NoSQL database based on bitcask, that supports a variety of data structures such as string, list, hash, set, and sorted set. Easy to embed into your own Go application. High performance, suitable for both read and write-intensive workloads. Values are not limited by RAM. It is similar to Redis but store values on disk. RoseDB is based on bitcask.

...TigerBeetle is a financial transactions database designed for mission-critical safety and performance to power the next 30 years of OLTP. TigerBeetle redesigns the distributed database storage engine and consensus protocol for the OLTP workload. This solves the problem of OLTP write contention to unlock three orders of magnitude more performance than a general purpose (OLGP) database. The language of business transactions around the world is Debit/Credit. TigerBeetle ships with this schema out of the box. A single TigerBeetle cluster can process over 100 billion transactions, at a hundredth of the cost compared to legacy, proprietary, or cloud databases.

SnappyData (aka TIBCO ComputeDB) is a distributed, in-memory optimized analytics database. SnappyData delivers high throughput, low latency, and high concurrency for a unified analytics workload. By fusing an in-memory hybrid database inside Apache Spark, it provides analytic query processing, mutability/transactions, access to virtually all big data sources and stream processing all in one unified cluster. One common use case for SnappyData is to provide analytics at interactive speeds over large volumes of data with minimal or no pre-processing of the dataset. ...

noisia is a PostgreSQL workload generator designed for testing and benchmarking query performance. It simulates real-world SQL traffic by replaying or generating workloads based on defined query profiles. noisia is useful for stress testing databases, tuning configurations, and validating changes in performance-sensitive environments.

...Our research focuses on building the system components that support such self-driving operations with little to no human guidance. We seek to create a system that not only able to optimize the current workload, but also to predict future workload trends and prepare itself accordingly. Our plan is for NoisePage to support the most common database tuning techniques without requiring humans to determine the right way and proper time to deploy them. It will also enable new optimizations that are important for modern high-performance DBMSs.

Speedment is an open-source Java Stream ORM toolkit and runtime. The toolkit analyzes the metadata of an existing SQL database and automatically creates a Java representation of the data model. This powerful ORM enables you to create scalable and efficient Java applications using standard Java streams with no need to type SQL or use any new API. Speedment was originally developed by researchers and engineers based in Palo Alto with the purpose to simplify and streamline the development of...

TPCCRunner is a TPC-C Like workload generator, used to test Online Transaction Processiong Database System. TPCCRunner supports most of popular RDBMS: Oracle, DB2, SQL Server, MySQL, Informix, Sybase etc.