NebulaGraph Database
apisix-helm-chart
NebulaGraph Database | apisix-helm-chart | |
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8 | 1 | |
10,263 | 214 | |
1.2% | 1.9% | |
7.9 | 8.1 | |
5 days ago | 9 days ago | |
C++ | Smarty | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
NebulaGraph Database
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What is a NoSQL Graph Database?
A NoSQL graph database is a type of non-relational, distributed database which employs a graph model. NoSQL stands for “Not only SQL” and refers to a new breed of databases that differ from traditional relational databases in their data model and performance. Graph databases are especially useful for data associated with relationships—everything from friendships on social netwo#rks to equipment supply chains or business processes. They can quickly traverse vast amounts of linked data points to discover insights and hidden connections between entities, making them ideal for network analysis– such as financial fraud detection, recommendation engines and many other use cases– all while performing at scale.
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Graph Database vs Relational Database: What to Choose?
An open source graph database is always the best place to start as they come with a supportive community that ultimately creates the perfect ecosystem.
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Using NebulaGraph Importer to Import Data into NebulaGraph Database
When we first came across NebulaGraph, because the ecology was not perfect, and only some businesses migrated to Nebula, we used to import NebulaGraph data, whether full or incremental, by pushing Hive tables to Kafka and consuming Kafka to write NebulaGraph in batch. Later, as more and more data and businesses switched to NebulaGraph, the problem of importing data efficiency became more and more serious. The increase in import time made it unacceptable to still be importing data at full volume during peak business hours.
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The Ultimate Beginner’s Guide to Open Source Contribution
NebulaGraph NebulaGraph is a popular open-source graph database that can handle large volumes of data with milliseconds of latency, scale up quickly, and have the ability to perform fast graph analytics. Official website https://www.nebula-graph.io/ GitHub projects https://github.com/orgs/vesoft-inc/repositories https://github.com/vesoft-inc/nebula
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Open Source NebulaGraph Database Raises Tens of Millions of Dollars in Series A Funding
NebulaGraph, a leading open source graph database, announced it raised tens of millions of US dollars in Series A funding. Investors in the round are led by Jeneration Capital, with participation from the previous investors - Matrix Partner China, Redpoint China Ventures, and Source Code Capital. China Renaissance served as the exclusive financial advisor in this financing round.
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Nebula Graph v3.0.0 Release Note
Support backup and restore. https://github.com/vesoft-inc/nebula/pull/3469 https://github.com/vesoft-inc/nebula-agent/pull/1 https://github.com/vesoft-inc/nebula-br/pull/22
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Embeddable graph database
One option is NebulaGraph if your looking for low latency, scalability, and HA.
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Nebula Graph: how variable-Length Pattern Matching is implemented
After the step-by-step decomposition of the patterns, the expected execution plan for the MATCH clause is finally generated. As you can see, it takes a lot of effort to transform a complicated pattern into the underlying interfaces for a traversal. Of course, the execution plan can be optimized, such as the multi-step traversal can be encapsulated by using the Loop operator and the sub-plan of a one-step traversal can be reused, which will not be detailed in this article. If you are interested, please refer to the source code of Nebula Graph.
apisix-helm-chart
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The Ultimate Beginner’s Guide to Open Source Contribution
Apache APISIX Apache APISIX is an open source, dynamic, real-time, high-performance cloud native API gateway. APISIX provides rich traffic management features such as load balancing, dynamic upstream, canary release, circuit breaking, authentication, observability, and more. Official website https://apisix.apache.org/ GitHub projects APISIX (the core): https://github.com/apache/apisix GitHub - apache/apisix: The Cloud-Native API Gateway GitHub - apache/apisix-dashboard: Dashboard for Apache APISIX GitHub - apache/apisix-website: Apache APISIX Website GitHub - apache/apisix-docker: the docker for Apache APISIX GitHub - apache/apisix-go-plugin-runner: Go Plugin Runner for APISIX GitHub - apache/apisix-java-plugin-runner: APISIX Plugin Runner in Java GitHub - apache/apisix-python-plugin-runner: Apache APISIX Python plugin runner GitHub - apache/apisix-helm-chart: Apache APISIX Helm Chart GitHub - apache/apisix-ingress-controller: ingress controller for K8s
What are some alternatives?
dgraph - The high-performance database for modern applications
seatunnel - SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.
Neo4j - Graphs for Everyone
library-charts - ⚠️ Deprecated : Helm library charts for the k8s@home Helm charts
zef - Toolkit for graph-relational data across space and time
apisix-python-plugin-runner - Apache APISIX Python plugin runner
WaterBase - WaterBase is a lightweight storage utility created for easy saving and access of persistent key-value data.
helm-repo-example - Auto-updating Helm repository with GitHub Actions
nebula-agent
helm-charts - Helm charts for Paralus
oceanbase - OceanBase is an enterprise distributed relational database with high availability, high performance, horizontal scalability, and compatibility with SQL standards.
apisix-ingress-controller - APISIX Ingress Controller for Kubernetes