ArangoDB
Apache Cassandra
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ArangoDB | Apache Cassandra | |
---|---|---|
17 | 35 | |
13,333 | 8,502 | |
0.4% | 0.8% | |
9.9 | 9.9 | |
5 days ago | 6 days ago | |
C++ | Java | |
GNU General Public License v3.0 or later | 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.
ArangoDB
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Ask HN: When is pure functional programming beneficial?
... or working in an environment or on a problem for which functional patterns apply.
Suppose you are writing a "CRUD" app that writes to a relational database, how do you apply functional programming to that? The whole point of an application like that is that it makes side effects.
In some cases you can break those problems down into functional pieces. Consider Python drivers for a product like
One major problem is that you want drivers that work synchronously and asynchronously, the structure of the average api call is something like
def query(parameters):
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Graph Databases vs Relational Databases: What and why?
First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the platform's query language.
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PRQL a simple, powerful, pipelined SQL replacement
Some databases like ArangoDB (https://www.arangodb.com/) allow you to use Javascript instead of SQL.
However, using a type-unsafe, turing-complete language introduces type unsafety and turing-complete problems to the query layer; the usual problems we know and love, such as infinite loops, runtime type errors, exceptions, and the like.
Personally, I'm looking forward to a WASM runtime for databases -- so we can run webassembly on the database. This COULD be carefully designed to be statically checked and, possibly, make it really hard to write runaway loops.
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Ask HN: Why are we so fragmented in databases options?
Personally my favorite db for pet projects is
I think you hear very little about it because ADB users see it as a "secret weapon" to crush their competitors with. I've done large ontology work (MESH and other health ontologies) and IoT work (keep several years of sensor readings for sensors in my house) and workflow systems (select interesting HN articles or jobs I want to apply to) and it has never let me down. I haven't run a real instance serving customers in the cloud though.
For the last few years every eng manager I have worked with has been a fan of
In the early 2000s I thought it overpromised and underdelivered and called it CrashGreSlow but after MySQL got bought by Oracle the pgsql team has worked hard to improve it I think it is great today. It supports all kinds of advanced features such as stored procs, full-text search, JSON equivalent fields, etc.
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System Design: The complete course
For mutual friends, we can build a social graph for every user. Each node in the graph will represent a user and a directional edge will represent followers and followees. After that, we can traverse the followers of a user to find and suggest a mutual friend. This would require a graph database such as Neo4j and ArangoDB.
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Database of Databases
ArangoDB
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Using graphQL+gRPC+Golang to Create a Bike Rental Microservices, with persistence on ArangoDB.
This a NOSQL database built for high availability and high scalability, a perfect fit for implementing persistence in microservices. ArangoDB is an open source native multi-model database that supports graph, document and key-value data models allowing users to freely combine all data models in a single query. Dive deeper into this database and its features here.
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Which database would be a great choice for our game?
Finally, while it is not in the GCP stack, there is a pretty cool graph database https://www.arangodb.com/ . You can use their Oasis and deploy into GCP though. Still, if you were to model a lot of relations between all your trivia information, then a graph database like this could unlock some interesting possibilities.
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Building a GraphQL API on AWS with Amazon Neptune Graph Database and CDK
As an AWS person, I became really interested in how I may take advantage of a an AppSync GraphQL API backed by a graph database. There are many great options to choose from, including things like Neo4j and ArangoDB which I hope to also try out sometime soon, but for this build I chose to use Amazon Neptune.
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IndraDB: A graph database written in rust
Will it perform better than ArangoDB, which outperforms Neo4j?
Apache Cassandra
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How to Choose the Right MQTT Data Storage for Your Next Project
Apache Cassandra{:target="_blank"} is a highly scalable and fault-tolerant database that can handle large volumes of data across multiple nodes or clusters. It provides fast read and write operations, making it suitable for real-time analytics or applications with high throughput requirements.
- 10+ Open-Source Projects For Web Developers In 2023
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Database 101: Data Consistency for Beginners
Wide Column: Apache Cassandra, ScyllaDB and DynamoDB
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In One Minute : Hadoop
Cassandra, a replicated, fault-tolerant, decentralized and scalable database system.
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Build Your First App with JavaScript, Node.js, and DataStax Astra DB
A popular database you might already be familiar with is Apache Cassandra®, which powers high-performing applications for thousands of companies including Hulu, Netflix, Spotify, and Apple. While this free, open-source database is known for its high availability, scalability, and resilience; the downside is that it’s also notoriously complex to set up and manage.
- Reducing logging cost by two orders of magnitude using CLP
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Baeldung Series Part 2: Build a Dashboard With Cassandra, Astra and CQL – Mapping Event Data
In our previous article, we looked at augmenting our dashboard to store and display individual events from the Avengers using DataStax Astra, a serverless DBaaS powered by Apache Cassandra using Stargate to offer additional APIs for working with it.
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System Design: CAP theorem
Example: Apache Cassandra, CouchDB.
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Deploy a TikTok Clone with Node.js, Netlify, and DataStax Astra DB
For our TikTok database, we’re using DataStax Astra DB: a cloud-based database that fully manages Apache Cassandra®, one of the most robust and scalable NoSQL databases around.
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System Design: The complete course
Data partitioning in Apache Cassandra.
What are some alternatives?
Druid - Apache Druid: a high performance real-time analytics database.
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
MongoDB - The MongoDB Database
Neo4j - Graphs for Everyone
Scylla - NoSQL data store using the seastar framework, compatible with Apache Cassandra
indradb - A graph database written in rust
skytable - Skytable is a modern scalable NoSQL database with BlueQL, designed for performance, scalability and flexibility. Skytable gives you spaces, models, data types, complex collections and more to build powerful experiences
delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
RavenDB - ACID Document Database
Apache HBase - Apache HBase
Event Store - EventStoreDB, the event-native database. Designed for Event Sourcing, Event-Driven, and Microservices architectures