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neo4j VS InfluxData

Compare neo4j VS InfluxData and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

neo4j logo neo4j

Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

InfluxData logo InfluxData

Scalable datastore for metrics, events, and real-time analytics.
  • neo4j Landing page
    Landing page //
    2023-05-09
  • InfluxData Landing page
    Landing page //
    2023-07-30

neo4j

Website
neo4j.com
Pricing URL
Official neo4j Pricing
$ Details
Release Date
2007 January
Startup details
Country
United States
State
California
City
San Mateo
Founder(s)
Emil Eifrem
Employees
500 - 999
Edit details

InfluxData

Website
influxdata.com
Pricing URL
Official InfluxData Pricing
$ Details
Release Date
-
Edit details

neo4j features and specs

  • Graph DB

InfluxData features and specs

  • High Performance
    InfluxData's InfluxDB is designed to handle high write and query loads, making it suitable for time-series data and real-time applications.
  • Open-Source
    The core InfluxDB product is open-source, allowing for transparency, community contributions, and the option to self-host the database.
  • Scalability
    InfluxDB offers horizontal scalability, enabling users to handle increasing volumes of data efficiently through clustering.
  • Built-In Data Processing
    InfluxData offers integrated tools for data processing and scripting, such as Kapacitor for real-time processing and Flux for advanced querying.
  • Rich Ecosystem
    InfluxData provides a comprehensive ecosystem including Telegraf for data collection, Chronograf for visualization, and Kapacitor for alerting and processing.
  • Time-Series Focused
    InfluxDB is optimized for time-series data, offering specialized features like time-based retention policies, continuous queries, and downsampling.
  • Easy Integration
    InfluxDB integrates well with many third-party data visualization and monitoring tools such as Grafana, making it easier to build end-to-end solutions.

Possible disadvantages of InfluxData

  • Complexity
    The comprehensive features and tools in the InfluxData ecosystem can result in a steeper learning curve, especially for novices.
  • Cost
    While the open-source version is free, the enterprise and cloud-hosted versions come with a cost, which can be significant for small to mid-sized businesses.
  • Resource Intensive
    InfluxDB can be resource-intensive, especially under high loads, requiring significant hardware resources for optimal performance.
  • Limited SQL Support
    InfluxDB doesn’t fully support SQL, which can be a hurdle for users accustomed to traditional relational databases. It uses its own query languages like InfluxQL and Flux.
  • Fragmented Documentation
    Some users find the documentation fragmented or lacking in depth, which can make troubleshooting and advanced usage more challenging.
  • Data Backup and Restore
    Managing backups and restores in InfluxDB can be intricate and may require additional effort and tools to ensure data integrity and availability.

neo4j videos

+ Add

All about GRAND Stack: GraphQL, React, Apollo, and Neo4j

More videos:

  • Review - Kevin Van Gundy | Building a Recommendation Engine with Neo4j and Python

InfluxData videos

+ Add

Barbara Nelson [InfluxData] | Best Practices for Data Ingestion into InfluxDB

Category Popularity

0-100% (relative to neo4j and InfluxData)

neo4j

InfluxData

Databases
72 72%
Databases
28% 28
Graph Databases
100 100%
Graph Databases
0% 0
Time Series Database
0 0%
Time Series Database
100% 100
NoSQL Databases
84 84%
NoSQL Databases
16% 16

User comments

Share your experience with using neo4j and InfluxData. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare neo4j and InfluxData

neo4j Reviews

Top 15 Free Graph Databases
Neo4j is an open-source graph database, implemented in Java described as embedded, disk-based, fully transactional Java persistence engine that stores data structured in graphs rather than in tables. Neo4j Community Edition
Source: www.predictiveanalyticstoday.com
ArangoDB vs Neo4j - What you can't do with Neo4j
Multi-Model: Neo4j is a single-model graph database. It does not support any other data models. If your application requires a document or key/value store, you would have to use a second database technology to support it. Being multi-model, ArangoDB allows you to not only use one database for everything,but run ad hoc queries on data stored in different models.
Source: www.arangodb.com

InfluxData Reviews

ReductStore vs. MinIO & InfluxDB on LTE Network: Who Really Wins the Speed Race?
Maintaining consistency between multiple databases, like MinIO and InfluxDB, adds a layer of complexity. In our setup, MinIO, used for blob storage, is linked to data points in InfluxDB via its filename. Any inconsistencies or mismatches between the two could potentially result in data loss. Furthermore, we need to query both databases, which is quite inefficient. Lastly,...
Source: www.reduct.store
Apache Druid vs. Time-Series Databases
We occasionally get questions regarding how Apache Druid differs from time-series databases (TSDB) such as InfluxDB or Prometheus, and when to use each technology. This short post serves to help answer these questions.
Source: imply.io
4 Best Time Series Databases To Watch in 2019
InfluxDB is part of the TICK stack : Telegraf, InfluxDB, Chronograf and Kapacitor. InfluxData provides, out of the box, a visualization tool (that can be compared to Grafana), a data processing engine that binds directly with InfluxDB, and a set of more than 50+ agents that can collect real-time metrics for a lot of different data sources.
Source: medium.com

Social recommendations and mentions

Based on our record, neo4j seems to be a lot more popular than InfluxData. While we know about 34 links to neo4j, we've tracked only 2 mentions of InfluxData. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

neo4j mentions (34)

  • 6 retrieval augmented generation (RAG) techniques you should know
    The key difference lies in the retrieval mechanism. Vector databases focus on semantic similarity by comparing numerical embeddings, while graph databases emphasize relations between entities. Two solutions for graph databases are Neptune from Amazon and Neo4j. In a case where you need a solution that can accommodate both vector and graph, Weaviate fits the bill. - Source: dev.to / 5 days ago
  • LLM to extract and auto generate knowledge graph - step by step, in ~100 lines of python
    Neo4j is a leading graph database that is easy to use and powerful for knowledge graphs. - Source: dev.to / 7 days ago
  • 10 Ways AI Can Speed Up your Mobile App Development
    Neo4j is one of the most popular graph databases. It offers powerful querying capabilities through its Cypher query language. - Source: dev.to / 2 months ago
  • Databases in 2024: A Year in Review
    Great heads up. I wonder about graph databases. He mentioned and both include the graph use case and I wonder how they compare to . - Source: Hacker News / 4 months ago
  • Installing Neo4j In Ubuntu
    The first blog in this series is to install neo4j - desktop version and few plugins which would help us to build an application. I am using Ubuntu 22.04.4 LTS. - Source: dev.to / 9 months ago
View more

InfluxData mentions (2)

  • Can i log data into excel/csv using aws?
    I would highly recommend using a proper Time Series Database like QuestDB or InfluxDB to do this instead. You can always export data from wither of those two into Excel if your boss wants it in excel, but it's much easier to do data transformations, create graphs and reports, etc. If you have all the data in a proper database. Source: about 3 years ago
  • How to stream IoT data into Excel
    I would suggest using something better suited to IoT data than ... a spreadsheet. I'd recommend looking at one of the Time Series Databases for this. 1) QuestDB or 2) InfluxDB as these are much better suited to streaming data. Source: over 3 years ago

What are some alternatives?

When comparing neo4j and InfluxData, you can also consider the following products

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Prometheus - An open-source systems monitoring and alerting toolkit.

OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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