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Hadoop

Stacks2.5K

Followers2.3K

+ 1

Votes56

RavenDB

Stacks73

Followers82

+ 1

Votes9

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Hadoop vs RavenDB: What are the differences?

Developers describe Hadoop as "Open-source software for reliable, scalable, distributed computing". The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets 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. On the other hand, RavenDB is detailed as "*A NoSQL Database that's fully transactional *". As a document database it remains true to the core principles of these type of storage mechanisms. Somehow it managed to combine the best of relational databases with that of document databases.

Hadoop and RavenDB can be categorized as "Databases" tools.

Hadoop and RavenDB are both open source tools. It seems that Hadoop with 9.4K GitHub stars and 5.85K forks on GitHub has more adoption than RavenDB with 2.28K GitHub stars and 723 GitHub forks.

According to the StackShare community, Hadoop has a broader approval, being mentioned in 309 company stacks & 623 developers stacks; compared to RavenDB, which is listed in 7 company stacks and 4 developer stacks.

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Pros of Hadoop

Pros of RavenDB

39
Great ecosystem
11
One stack to rule them all
4
Great load balancer
1
Amazon aws
1
Java syntax

4
Embedded Library
3
Easy of use
2
NoSql

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What is Hadoop?

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets 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.

What is RavenDB?

As a document database it remains true to the core principles of these type of storage mechanisms. Somehow it managed to combine the best of relational databases with that of document databases.

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What companies use Hadoop?

What companies use RavenDB?

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What tools integrate with Hadoop?

What tools integrate with RavenDB?

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What are some alternatives to Hadoop and RavenDB?

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.

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.

Elasticsearch

Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Snowflake

Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.

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Hadoop vs RavenDB

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Pros of Hadoop

Pros of RavenDB

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What is Hadoop?

What is RavenDB?

Need advice about which tool to choose?Ask the StackShare community!

What companies use Hadoop?

What companies use RavenDB?

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What tools integrate with Hadoop?

What tools integrate with RavenDB?

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