Search Results for "concurrent"

...For more information on the goals of DuckDB, please refer to the Why DuckDB page on our website. Processing and storing tabular datasets, e.g. from CSV or Parquet files. Interactive data analysis, e.g. Joining & aggregate multiple large tables. Concurrent large changes, to multiple large tables, e.g. appending rows, adding/removing/updating columns. Large result set transfer to client. For development, DuckDB requires CMake, Python3 and a C++11 compliant compiler. Run make in the root directory to compile the sources. For development, use make debug to build a non-optimized debug version.

...ArcticDB is designed with quant users in mind. It allows you to self-manage your data leveraging your preferred infrastructure. Giving you the keys to protect your most valuable asset. Supports large concurrent writes to many tables ensuring datasets can be onboarded fast and in the most convenient format. Scale-out architecture and built-in compression ensure that networks and storage are utilized efficiently. Support for DataFrames with thousands of columns enables large trading universes.

...YugabyteDB reuses PostgreSQL’s query layer and supports all advanced features. Scale-out and in with zero impact. Proven in production to scale beyond 300K TPS, over 100TB of data, and thousands of concurrent connections. Achieve continuous availability during infrastructure failures and on maintenance tasks such as software upgrades and distributed backups. Use powerful replication and data geo-partitioning capabilities to achieve the latency, resilience, and compliance your applications need. Deploy YugabyteDB in public, private, and hybrid cloud environments, on VMs, containers, or bare metal. ...

...From streaming data to change data capture, StarRocks meets the data ingestion demands of real-time analytics. Scale storage and computing power horizontally and support tens of thousands of concurrent users. All of your BI tools work with StarRocks through standard SQL. StarRocks provides superior performance. It is also a unified OLAP covering most data analytics scenarios.

The graph database built for super large-scale graphs with milliseconds of latency. Optimized SUBGRAPH and FIND PATH for better performance. Optimized query paths to reduce redundant paths and time complexity. Optimized the method to get properties for better performance of MATCH statements. Nebula Graph adopts the Apache 2.0 license, one of the most permissive free software licenses in the world. Free as in freedom, because, under the Apache 2.0 license, you can use, copy, modify and...

MySQL Control Center is an excellent GUI front end for MySQL database creation and administration. It allows multiple concurrent MySQL server connections, MDI (or not under Linux), stored login credentials, point and click dump file imports and more.

Ray improves throughput when many concurrent queries access large scientific databases. Queries are synchronized to access sectors on disk simultaneously so that an arbitrary number of parallel queries can be executed without degradation in performance.