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Learn MorePros of Neo4j
Pros of pgRouting
Pros of Neo4j
- Cypher – graph query language70
- Great graphdb61
- Open source33
- Rest api31
- High-Performance Native API27
- ACID23
- Easy setup21
- Great support17
- Clustering11
- Hot Backups9
- Great Web Admin UI8
- Powerful, flexible data model7
- Mature7
- Embeddable6
- Easy to Use and Model5
- Best Graphdb4
- Highly-available4
- It's awesome, I wanted to try it2
- Great onboarding process2
- Great query language and built in data browser2
- Used by Crunchbase2
Pros of pgRouting
- Dynamic routing3
- Routing in the database1
- Open Source1
- Data changes are reflected instantaneously1
- Geospatial network analysis1
- QGIS plugin1
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Cons of Neo4j
Cons of pgRouting
Cons of Neo4j
- Comparably slow9
- Can't store a vertex as JSON4
- Doesn't have a managed cloud service at low cost1
Cons of pgRouting
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- No public GitHub repository available -
What is Neo4j?
Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
What is pgRouting?
It is an extension of PostGIS and PostgreSQL geospatial database and adds routing and other network analysis functionality.
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What companies use Neo4j?
What companies use pgRouting?
What companies use Neo4j?
What companies use pgRouting?
See which teams inside your own company are using Neo4j or pgRouting.
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What tools integrate with Neo4j?
What tools integrate with pgRouting?
What tools integrate with Neo4j?
What tools integrate with pgRouting?
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What are some alternatives to Neo4j and pgRouting?
Titan
Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
OrientDB
It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.
JanusGraph
It is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. It is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.