Go to file
A.J. Beamon 977f1bf46a Merge branch 'release-5.0' 2017-09-01 14:50:21 -07:00
bindings Merge branch 'release-5.0' 2017-09-01 12:37:16 -07:00
build Initial repository commit 2017-05-25 13:48:44 -07:00
design made emboldening and capitalization consistent 2017-08-25 11:43:13 -07:00
fdbbackup fix: call initSignalSafeUnwind in fdbcli and backup to avoid hangs in slow task profiling. 2017-08-07 15:55:08 -07:00
fdbcli Unify and clarify interactive and --exec command error and parse error handling. 2017-08-21 13:42:01 -07:00
fdbclient testers now use client locality load balancing 2017-09-01 12:53:01 -07:00
fdbmonitor replace wd40 references from fdbmonitor with command to unset environment variables 2017-07-19 15:38:29 -07:00
fdbrpc fix: load balance will still use second requests when client locality is present 2017-09-01 11:14:18 -07:00
fdbserver testers now use client locality load balancing 2017-09-01 12:53:01 -07:00
fdbservice Initial repository commit 2017-05-25 13:48:44 -07:00
flow revert 'Remove unused code' for function referenced in fdbrpc 2017-09-01 09:54:03 -07:00
layers Remove a few more outdated items 2017-09-01 09:15:59 -07:00
packaging Merge from release-5.0.4 2017-08-29 15:04:28 -07:00
recipes updated paths and formatting with go docs and examples 2017-07-05 17:25:32 -07:00
tests tests: Update binding single key get range performance test to specify a limit of 2 and use exact mode. 2017-09-01 12:36:24 -07:00
.gitignore Initial repository commit 2017-05-25 13:48:44 -07:00
ACKNOWLEDGEMENTS Initial repository commit 2017-05-25 13:48:44 -07:00
LICENSE Initial repository commit 2017-05-25 13:48:44 -07:00
Makefile Added min version compilation option for OS X 2017-08-07 11:56:12 -07:00
README.md Initial repository commit 2017-05-25 13:48:44 -07:00
foundationdb.sln Initial repository commit 2017-05-25 13:48:44 -07:00
versions.target Update version.target to 5.0.5 as next patch version 2017-08-29 14:09:23 -07:00

README.md

FoundationDB

FoundationDB is a distributed database designed to handle large volumes of structured data across clusters of commodity servers. It organizes data as an ordered key-value store and employs ACID transactions for all operations. It is especially well-suited for read/write workloads but also has excellent performance for write-intensive workloads. Users interact with the database using API language binding.