Open-source graph database, built for real-time streaming data, compatible with Neo4j.
cyphergraphgraph-algorithmsgraph-analysisgraph-databasekafkakafka-streamsnosqlopencypherstream-processingstreaming-data
0aee18544d
Summary: Benchmark planning and estimating indexed ScanAll. According to the benchmark, caching speeds up the whole process of planning and estimation by a factor of 2. Most of the performance gain is in the `CostEstimator` itself, due to plenty of calls to `VerticesCount` when estimating all of the generated plans. Reviewers: mislav.bradac, florijan Reviewed By: mislav.bradac Subscribers: pullbot Differential Revision: https://phabricator.memgraph.io/D765 |
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cmake | ||
config | ||
docs | ||
experimental | ||
libs | ||
poc | ||
release | ||
src | ||
tests | ||
tools | ||
.arcconfig | ||
.clang-format | ||
.gdbinit | ||
.gitignore | ||
.ycm_extra_conf.py | ||
CHANGELOG.md | ||
CMakeLists.txt | ||
coverage | ||
Doxyfile | ||
Doxylogo.png | ||
format | ||
init | ||
install_neo | ||
llvm-gcov | ||
README.md |
memgraph
Memgraph is an ACID compliant high performance transactional distributed in-memory graph database featuring runtime native query compiling, lock free data structures, multi-version concurrency control and asynchronous IO.
dependencies
Memgraph can be compiled using any modern c++ compiler. It mostly relies on the standard template library, however, some things do require external libraries.
Some code contains linux-specific libraries and the build is only supported on a 64 bit linux kernel.
- linux
- clang 3.8 (good c++11 support, especially lock free atomics)
- antlr (compiler frontend)
- cppitertools
- fmt format
- google benchmark
- google test
- glog
- gflags