Apache AGE
spicedb
Apache AGE | spicedb | |
---|---|---|
132 | 38 | |
2,695 | 4,518 | |
3.6% | 2.4% | |
8.9 | 9.7 | |
5 days ago | 6 days ago | |
C | Go | |
Apache License 2.0 | Apache License 2.0 |
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Apache AGE
- Apache AGE: PostgreSQL Extension Graph Data Processing and Analytics
- Apache AGE: PostgreSQL Extension Graph Data Processing and Analytics for RDBMS
- Apache AGE supporting latest PostgreSQL (ver 16)
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Enhancing Fraud Detection with Apache AGE: A Graph Database Approach
For more information and support, visit the Apache AGE website. or github.
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Unlocking the Power of Apache Age: Advanced Techniques for SQL/Cypher Hybrid Queries
These are just a few examples of how you can use Cypher queries in SQL/Cypher Hybrid Queries. By using these advanced techniques, you can perform more complex and powerful queries on your graph data. Apache AGE offer a versatile and powerful platform for working with graph and relational data concurrentlyz. To learn more you can visit age website or github page.
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Mastering Graph Queries with Cypher in Apache Age
Cypher queries in Apache Age empower users to interact with graph data efficiently and intuitively. Whether you're creating nodes, establishing relationships, or performing complex traversals, Cypher provides a robust and expressive language for working with graph databases.As you explore Apache Age and Cypher further, you'll discover additional features and nuances that make graph database management a seamless experience. Embrace the power of graph queries, and unlock the full potential of your interconnected data with Apache Age. Happy graph querying!
- We built An Open-Source platform to process relational and Graph Query simultaneously
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Machine learning and graph databases
Check Apache AGE graph database system here: Website: https://age.apache.org/ GitHub: https://github.com/apache/age
- Is Open Sourcing Technologies Good for Society
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Open Source doesn't win by being cheaper
We are also open Source community at Apache https://github.com/apache/age
spicedb
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How do you manage transactions in Go? Do we really need to use one transaction for each request?
Have you taken a look at SpiceDB? The Authzed blog has a few posts that are useful to improving your understanding -- I can think of two: New Enemies and Writing relationships to SpiceDB.
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How to start a Go project in 2023
Things I can't live without in a new Go project in no particular order:
- https://github.com/golangci/golangci-lint - meta-linter
- https://goreleaser.com - automate release workflows
- https://magefile.org - build tool that can version your tools
- https://github.com/ory/dockertest/v3 - run containers for e2e testing
- https://github.com/ecordell/optgen - generate functional options
- https://golang.org/x/tools/cmd/stringer - generate String()
- https://mvdan.cc/gofumpt - stricter gofmt
- https://github.com/stretchr/testify - test assertion library
- https://github.com/rs/zerolog - logging
- https://github.com/spf13/cobra - CLI framework
FWIW, I just lifted all the tools we use for https://github.com/authzed/spicedb
We've also written some custom linters that might be useful for other folks: https://github.com/authzed/spicedb/tree/main/tools/analyzers
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Feature flags and authorization abstract the same concept
At AuthZed, we think about this topic regularly while developing SpiceDB[0], except we believe feature flags are a subset of authorization. I'd disagree with the author that permissions are always long-lived -- authorization can also be ephemeral (and often that's how it's most secure) or dependent on run-time context[1]. What's more, using SpiceDB, we can often collapse checking for authorization and feature-flags into a single round-trip by defining a permission that can additionally require a feature flag (e.g. permission = admin & has_feature_flag).
It's a little silly, but lots of folks ask for the moon when it comes to performance for authorization because it's critical to every request, but then go on and sprinkle a dozen feature flag RPCs each adding more and more latency. We think you should be able to have both.
What we're excited about is use cases beyond feature flags and authorization: we've also seen some folks use SpiceDB as an update graph or others as a dependency graph.
[0]: https://github.com/authzed/spicedb
[1]: https://authzed.com/blog/caveats/
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Postgres: The Graph Database You Didn't Know You Had
It scaled well compared to a naive graph abstraction implemented outside the database, but when performance wasn't great, it REALLY wasn't great. We ended up throwing it out in later versions to try and get more consistent performance.
I've since worked on SpiceDB[1] which takes the traditional design approach for graph databases and simply treating Postgres as triple-store and that scales far better. IME, if you need a graph, you probably want to use a database optimized for graph access patterns. Most general-purpose graph databases are just bags of optimizations for common traversals.
[0]: https://github.com/quay/clair
[1]: https://github.com/authzed/spicedb
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Writing a Kubernetes Operator
I get the sentiment. We held off on building an operator until we felt there was actually value in doing so (for the most part, Deployments cover the operational needs pretty well).
Migrations can be run in containers (and they are, even with the operator), but it's actually a lot of work to run them at the right time, only once, with the right flags, in the right order, waiting for SpiceDB to reach a specific spot in a phased migrations, etc.
Moving from v1.13.0 to v1.14.0 of SpiceDB requires a multi-phase migration to avoid downtime[0], as could any phased migration for any stateful workload. The operator will walk you through them correctly, without intervention. Users who aren't running on Kubernetes or aren't using the operator often have problems running these steps correctly.
The value is in this automation, but also in the API interface itself. RDS is just some automation and an API on top of EC2, and I think RDS has value over running postgres on EC2 myself directly.
As for helm charts, this is just my opinion, but I don't think they're a good way to distribute software to end users. The interface for a helm chart becomes polluted over time in the same way that most operator APIs become polluted over time, as more and more configuration is pulled up to the top. I think helm is better suited to managing configuration you write yourself to deploy on your own clusters (I realize I'm in the minority here).
[0]: https://github.com/authzed/spicedb/releases/tag/v1.14.0
- AWS Creates New Policy-Based Access Control Language Cedar
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Solution for ReBAC authz using attributes?
To my understanding, the only ReBAC system that supports dynamic attributes is SpiceDB.
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The Annotated Google Zanzibar Paper
If you're curious to see a Postgres-based implementation, SpiceDB has a Postgres driver: https://github.com/authzed/spicedb/tree/main/internal/datast...
- We built an open source authorization service based on Google Zanzibar
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One Million Database Connections
Interesting, for SpiceDB[0], one place we've struggled with MySQL is preemptively establishing connections in the pool so that it's always full. PGX[1] has been fantastic for Postgres and CockroachDB, but I haven't found something with enough control for MySQL.
[0]: https://github.com/authzed/spicedb
What are some alternatives?
surrealdb - A scalable, distributed, collaborative, document-graph database, for the realtime web
Ory Keto - Open Source (Go) implementation of "Zanzibar: Google's Consistent, Global Authorization System". Ships gRPC, REST APIs, newSQL, and an easy and granular permission language. Supports ACL, RBAC, and other access models.
node-bindgen - Easy way to write Node.js module using Rust
OPA (Open Policy Agent) - Open Policy Agent (OPA) is an open source, general-purpose policy engine.
Memgraph - Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
casbin - An authorization library that supports access control models like ACL, RBAC, ABAC in Golang: https://discord.gg/S5UjpzGZjN
age-viewer - Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
realworld - "The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more
napi-rs - A framework for building compiled Node.js add-ons in Rust via Node-API
zanzibar-pg - Pure PL/pgSQL implemenation of the Zanzibar API
neon - Rust bindings for writing safe and fast native Node.js modules.
oso - Oso is a batteries-included framework for building authorization in your application.