Go to file
Evan Tschannen 0906250e78 merged everything from feature-remote-logs besides the tlog and tagpartitionedlogsystem
re-included tags in messages to the tlog
previously never committed the LogRouter
2017-06-29 15:50:19 -07:00
bindings Update ryw benchmark key count for get range/clear range tests 2017-06-29 15:37:18 -07:00
build Initial repository commit 2017-05-25 13:48:44 -07:00
fdbbackup Initial repository commit 2017-05-25 13:48:44 -07:00
fdbcli removed fast_recovery_double and fast_recovery_triple from the fdbcli 2017-06-23 16:18:23 -07:00
fdbclient Merge branch 'release-5.0' 2017-06-27 11:16:08 -07:00
fdbmonitor Initial repository commit 2017-05-25 13:48:44 -07:00
fdbrpc removed undefined behavior surrounding TLS logging 2017-06-28 14:23:53 -07:00
fdbserver merged everything from feature-remote-logs besides the tlog and tagpartitionedlogsystem 2017-06-29 15:50:19 -07:00
fdbservice Initial repository commit 2017-05-25 13:48:44 -07:00
flow merged everything from feature-remote-logs besides the tlog and tagpartitionedlogsystem 2017-06-29 15:50:19 -07:00
layers Initial repository commit 2017-05-25 13:48:44 -07:00
packaging Generate new guid for FDBInstaller.wxs 2017-06-28 18:43:22 -07:00
recipes Initial repository commit 2017-05-25 13:48:44 -07:00
tests Update ryw benchmark key count for get range/clear range tests 2017-06-29 15:35:07 -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 Initial repository commit 2017-05-25 13:48:44 -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 Updated version after release 2017-06-27 10:54:50 -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.