hop | Neo4j | |
---|---|---|
13 | 50 | |
858 | 12,486 | |
2.1% | 1.1% | |
9.2 | 9.9 | |
7 days ago | 14 days ago | |
Java | Java | |
Apache License 2.0 | GNU General Public License v3.0 only |
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.
hop
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Loading data
If you're looking for a visual and more intuitive way to load data to Neo4j, you might want to have a look at Apache Hop. Hop comes with tons of functionality to load data to Neo4j.
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How to automate cypher query?
Apache Hop is a great open source orchestration platform with excellent native Neo4j support.
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Does anyone use a no-code data transformation tool?
Have you checked out Apache Hop? https://hop.apache.org/ It is a very powerful no-code open source ETL tool.
- Hop – The easiest way to deploy your code
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Kafka ETL tool, is there any?
Apache Hop https://hop.apache.org/
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What are the Possible Oracle database to Salesforce Integration solutions
You could look into Apache Hop. Open source with Salesforce connectors. Powerful free option for reverse ETL. https://hop.apache.org/
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[Q] Knowledge Graph - Populating the GraphDB from scratch.
I would get familiar with an ETL tool. Apache Hop is excellent, opensource, and has native support for neo4j. It will make your imports easier to see the "flow" - also easier to share/collaborate with others. It also gives you support to use several methods (direct from RDBMS, from CSV, or running code like your python example) all from within the same workflows/pipelines, so you can use the best method/tool for a particular part of your process.
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Replace RDBMS with neo4j
I used Apache HOP as an ETL to integrate the ERP data from RangerMSP into a Neo4j knowledgegraph. Then connected the ERP data to our other vendors data using their web APIs (Office365/sharepoint/teams), backups, infrastructure monitoring/alerting to create other workflows that performed automations and validations of our service delivery. The reporting is so so much easier, faster, and more contextual since relationships are created as the data is built/modified, rather then when queried as in an RDBMS.
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Apache Hop few questions about starting up
I'm a pentaho pdi user that wants to give a try to Apache Hop. I've started the gui and learned a bit how to import from pdi, create a new workflow/pipeline, made some test. Now I've to move on but reading the docs at https://hop.apache.org/ I can't find informations I need:
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is there a software to use spark without carry about coding using it's apis
You can try Apache Hop
Neo4j
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System Design: Databases and DBMS
Neo4j
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How to choose the right type of database
Neo4j: An ACID-compliant graph database with a high-performance distributed architecture. Ideal for complex relationship and pattern analysis in domains like social networks.
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Looks Like the Free Software Foundation Forced Neo4j's Hand
After spending millions fighting the committer of ONgDB who removed the commons clause from the AGPL branded license, it looks like the Free Software Foundation got involved and forced them to remove the commons clause or change the license to their own proprietary license.
https://github.com/neo4j/neo4j/commit/b6237ca4e31706b1efbd0f...
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Getting Started with GenAI Stack powered with Docker, LangChain, Neo4j and Ollama
The GenAI Stack came about through a collaboration between Docker, Neo4j, LangChain, and Ollama. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are well integrated, come with sample applications, and make it easy for developers to get up and running. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are well integrated, come with sample applications, and make it easy for developers to get up and running.
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Database Review: Top Five Missing Features from Database APIs
Neo4j (GraphQL)
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How to Choose the Right Document-Oriented NoSQL Database for Your Application
NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and Cassandra.
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Loading data
this thread on this github issue could be useful.
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[For Hire] Senior Developer with 14 years experience. Canadian expat in a low cost of living country | From 500 EUR per project/month
Recently I have taken an interest in big data. https://neo4j.com/ , https://cassandra.apache.org/ , https://clickhouse.com/, https://www.elastic.co/ - are all databases I have experience with. Neo4j and Cassandra only as a hobby, but Clickhouse I have used in production, and Elasticsearch I have used for some 7 years now.
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SQL Versus NoSQL Databases: Which to Use, When, and Why
For organizations and their applications that are designed to detect fraud, like International Consortium of Investigative Journalists, or try to improve customer experience via personalization, as in the case of Tourism Media, a NoSQL graph database like Neo4j is a good match. In these kinds of use cases, the quantity of data we're dealing with is enormous, and the pattern we're searching for in the data is often complex.
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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.
What are some alternatives?
Apache Log4j 2 - Apache Log4j 2 is a versatile, feature-rich, efficient logging API and backend for Java.
Apache AGE - Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL. [Moved to: https://github.com/apache/age]
vanus - Vanus is a Serverless, event streaming system with processing capabilities. It easily connects SaaS, Cloud Services, and Databases to help users build next-gen Event-driven Applications.
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
Apache Hive - Apache Hive
FlockDB - A distributed, fault-tolerant graph database
Smooks - Extensible data integration Java framework for building XML and non-XML fragment-based applications
RedisGraph - A graph database as a Redis module
tarindexer - python module for indexing tar files for fast access
ArangoDB - 🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
Faust - Python Stream Processing
janusgraph - JanusGraph: an open-source, distributed graph database