Software Alternatives, Accelerators & Startups

TigerGraph DB VS Hadoop

Compare TigerGraph DB VS Hadoop and see what are their differences

TigerGraph DB logo TigerGraph DB

Application and Data, Data Stores, and Graph Database as a Service

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • TigerGraph DB Landing page
    Landing page //
    2023-08-29
  • Hadoop Landing page
    Landing page //
    2021-09-17

TigerGraph DB videos

No TigerGraph DB videos yet. You could help us improve this page by suggesting one.

Add video

Hadoop videos

What is Big Data and Hadoop?

More videos:

  • Review - Product Ratings on Customer Reviews Using HADOOP.
  • Tutorial - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

Category Popularity

0-100% (relative to TigerGraph DB and Hadoop)
Databases
26 26%
74% 74
Graph Databases
100 100%
0% 0
Big Data
0 0%
100% 100
Developer Tools
100 100%
0% 0

User comments

Share your experience with using TigerGraph DB and Hadoop. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare TigerGraph DB and Hadoop

TigerGraph DB Reviews

We have no reviews of TigerGraph DB yet.
Be the first one to post

Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
5 Best-Performing Tools that Build Real-Time Data Pipeline
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than relying on hardware to deliver high-availability, the library itself is...

Social recommendations and mentions

Based on our record, Hadoop seems to be more popular. It has been mentiond 17 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.

TigerGraph DB mentions (0)

We have not tracked any mentions of TigerGraph DB yet. Tracking of TigerGraph DB recommendations started around Mar 2021.

Hadoop mentions (17)

View more

What are some alternatives?

When comparing TigerGraph DB and Hadoop, you can also consider the following products

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

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

FalkorDB - Explore FalkorDB, the premier knowledge graph database tailor-made for GenAI applications. Unlock the power of structured data for advanced AI insights.

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

Azure Cosmos DB - NoSQL JSON database for rapid, iterative app development.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.