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IBM Cloud Pak for Data VS ArangoDB

Compare IBM Cloud Pak for Data VS ArangoDB and see what are their differences

IBM Cloud Pak for Data logo IBM Cloud Pak for Data

Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.

ArangoDB logo ArangoDB

A distributed open-source database with a flexible data model for documents, graphs, and key-values.
  • IBM Cloud Pak for Data Landing page
    Landing page //
    2023-02-11
  • ArangoDB Landing page
    Landing page //
    2023-01-20

IBM Cloud Pak for Data features and specs

No features have been listed yet.

ArangoDB features and specs

  • Graph DB: Yes

IBM Cloud Pak for Data videos

IBM Cloud Pak for Data - Product Walkthrough

More videos:

  • Review - Overview of IBM Cloud Pak for Data

ArangoDB videos

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Category Popularity

0-100% (relative to IBM Cloud Pak for Data and ArangoDB)
Data Dashboard
100 100%
0% 0
Databases
0 0%
100% 100
Data Integration
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare IBM Cloud Pak for Data and ArangoDB

IBM Cloud Pak for Data Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
IBM Cloud Pak for Data is a fully-integrated, cloud native, data and AI platform designed for sophisticated DataOps and business analytics solutions. IBM boasts a potential for a 25-65% reduction in extract, transform, load (ETL) requests by eliminating the complexities of data integration of different data types and structures using Cloud Pak for Data. You can customize...
Source: theqalead.com

ArangoDB Reviews

9 Best MongoDB alternatives in 2019
ArangoDB is a native multi-model DBMS system. It supports three data models with one database core and a unified query language AQL. Its query language is declarative which helps you to compare different data access patterns by using a single query.
Source: www.guru99.com
Top 15 Free Graph Databases
ArangoDB is a distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. ArangoDB
ArangoDB vs Neo4j - What you can't do with Neo4j
Scalability needs and ArangoDB ArangoDB is cluster ready for graphs, documents and key/values. ArangoDB is suitable for e.g. recommendation engines, personalization, Knowledge Graphs or other graph-related use cases. ArangoDB provides special features for scale-up (Vertex-centric indices) and scale-out (SmartGraphs).

Social recommendations and mentions

Based on our record, ArangoDB seems to be more popular. It has been mentiond 4 times since March 2021. 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.

IBM Cloud Pak for Data mentions (0)

We have not tracked any mentions of IBM Cloud Pak for Data yet. Tracking of IBM Cloud Pak for Data recommendations started around Mar 2021.

ArangoDB mentions (4)

What are some alternatives?

When comparing IBM Cloud Pak for Data and ArangoDB, you can also consider the following products

Denodo - Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.

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

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

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

data.world - The social network for data people

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.