NebulaGraph Database VS apisix-ingress-controller

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.

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.

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.

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

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.

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

One option is NebulaGraph if your looking for low latency, scalability, and HA.

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.

This post shows how to implement it with Apache APISIX.

APISIX Ingress Controller is a tool focused on API management, offering high performance and flexible configuration options. If you require more complex routing rules, rate limiting, circuit breaking, and other advanced features, APISIX Ingress Controller may be a better choice. It provides a rich plugin system, allowing integration of plugins through APISIX Ingress CRD using declarative configuration to handle authentication, authorization, monitoring, logging, and other functionalities. This enriches the capabilities of APISIX Ingress Controller and simplifies configuration.

In this post, I'd like to describe how to fix some of them via the Apache APISIX API Gateway.

In the era of digitization, the availability and stability of services are crucial for the success of enterprises. As a key component of microservices architecture, the API gateway plays a significant role. APISIX, an open-source API gateway platform, ensures the continuity and stability of services through its health check mechanism.

Next February will mark the two-year milestone that I'm working for: API7.ai on Apache APISIX. I'm still very pleased about both. It allows me to do things I like a lot, such as writing posts and giving talks.

In early 2021, I started to work on the Apache APISIX project. I have to admit that I had never heard about it before. In this post, I'd like to introduce some Apache projects that are less well-known than HTTPD or Kafka.

Apache APISIX is an API Gateway, which builds upon the OpenResty reverse-proxy to offer a plugin-based architecture. The main benefit of such an architecture is that it brings structure to the configuration of routes. It's a help at scale, when managing hundreds or thousands of routes.

API resilience is about building robust APIs that can withstand a variety of challenges, ensuring that they continue to function effectively. API Gateways play a key role in this, acting as the entry point for external requests and managing the communication between different services by taking into account common API resilience patterns. One of the popular open-source API Gateways, Apache APISIX, provides a variety of features to enhance the resilience and robustness of APIs. In this article, we will explore 10 common API resilience design patterns and how they can be implemented using APISIX.