Search Results for "sql database engine"

...Supports native ClickHouse TCP client-server protocol. Compatibility with database/sql (slower than native interface!). Database/sql supports http protocol for transport. (Experimental). Marshal rows into structs (ScanStruct, Select). Unmarshal struct to row (AppendStruct). Connection pool Failover and load balancing. Bulk write support (for database/sql use begin->prepare->(in loop exec)->commit). AsyncInsert, named and numeric placeholders support. ...

...Connections over TCP/IPv4, TCP/IPv6, Unix domain sockets or custom protocols. Automatic handling of broken connections, as well as automatic Connection Pooling (by database/sql package). Supports queries larger than 16MB. Full sql.RawBytes support. It provides intelligent LONG DATA handling in prepared statements. Secure LOAD DATA LOCAL INFILE support with file allowlisting and io.Reader support. Optional time.Time parsing, as well as optional placeholder interpolation. db.SetConnMaxLifetime() is required to ensure connections are closed by the driver safely before connection is closed by MySQL server, OS, or other middlewares. ...

SQL-first: Manticore's native syntax is SQL. It speaks SQL over HTTP and uses the MySQL protocol (you can use your preferred MySQL client). JSON over HTTP: to provide a more programmatic way to manage your data and schemas, Manticore provides a HTTP JSON protocol. Written fully in C++: starts fast, doesn't take much RAM, and low-level optimizations provide good performance.

See http://www.cubrid.org/cluster. CUBRID Cluster is an open source clustered DBMS for high scalability including global schema, distributed partition and load balancing features. It is a spin-off project from CUBRID project and supported by NHN.

Sequoia is a database clustering middleware offering load balancing and transparent failover. Databases are replicated over multiple nodes and Sequoia balances the queries between them. Sequoia supports online maintenance and recovery operations.

SQuaLe is a glib based SQL query load balancer over persitent database connections.

An implementation of a MUD using Java and SQL. It will be fully portable to any JVM, and store the whole MUD in a relational database. Allowing for load balancing and multi server environments and plugins.

IMAP4 server working on top of SQL database (currently PostgreSQL but Oracle may work too). It has some unique features like elimination of duplicate messages throughout the whole system, possibility of clustering or load balancing etc.

Joint is a competent middleware server that supports: load balancing, distribution, naming services, transaction handling, run-time updates, centralized logging and much more. Platform independent and open for use with any SQL database.