Download and explore whatever you want on NebulaGraph
This source code is licensed under the Apache 2.0 license, and supported by the communityArchived Release Version
Release Note v3.6.0
DeleteRange operation. #5525
MATCH statement when querying for non-existent properties. #5634
Find All Path statement. #5621 #5640
MATCH statement causes the
all() function push-down optimization to fail. #5631
MATCH statement that returns incorrect results when querying the self-loop by the shortest path. #5636
MATCH statement that returns missing properties of edges when matching multiple hops. #5646
Enhance full-text index features with the following changes:
NebulaGraph Studio v3.7.0
NebulaGraph Studio (Studio for short) is a web-based visualization tool for NebulaGraph. With Studio, you can create a graph schema, import data, edit nGQL statements for data queries, and explore graphs in one stop.
NebulaGraph Clients v3.6.0
For developers to connect their projects to NebulaGraph.
NebulaGraph Console v3.5.0
NebulaGraph Console (Console for short) is a console for NebulaGraph. With Console, you can create a graph schema, import the demonstration nba dataset, and retrieve data.
NebulaGraph Bench v1.2.0
NebulaGraph Bench is a tool to test the NebulaGraph benchmark by using LDBC dataset.Currently. It only support NebulaGraph 2.0+ release.
NebulaGraph Importer v4.0.0
NebulaGraph Importer is a CSV importing tool. It reads data in the local CSV files and imports data into NebulaGraph.
NebulaGraph Exchange v3.6.0
NebulaGraph Exchange is to migrate both batch and streaming data of multiple formats from a distributed system to NebulaGraph.
NebulaGraph Flink Connector v3.5.0
NebulaGraph Flink Connector supports read data from NebulaGraph to Flink and write data to NebulaGraph from external sources.
NebulaGraph Spark Connector v3.6.0
NebulaGraph Spark Connector provides the capability to read data from and write data to NebulaGraph in a standard format required by Spark.
NebulaGraph Algorithm v3.1.0
NebulaGraph Algorithm is a Spark application based on GraphX. It uses a complete algorithm tool to perform graph computing on the data in the NebulaGraph database by submitting a Spark task.