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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Exasol vs Hadoop

Exasol vs Hadoop

OverviewComparisonAlternatives

Overview

Hadoop
Hadoop
Stacks2.7K
Followers2.3K
Votes56
GitHub Stars15.3K
Forks9.1K
Exasol
Exasol
Stacks15
Followers17
Votes6

Hadoop vs Exasol: 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, Exasol is detailed as "An intelligent, self-tuning and resource-efficient database". It is an intelligent, self-tuning and resource-efficient database. Use the unrivalled performance of our analytics database and deploy anywhere, whether that’s on cloud, on-premises, or with a hybrid strategy – turning your organization’s insights into real value faster, easier and more cost effectively than ever before.

Hadoop and Exasol belong to "Databases" category of the tech stack.

Hadoop is an open source tool with 10.6K GitHub stars and 6.59K GitHub forks. Here's a link to Hadoop's open source repository on GitHub.

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Detailed Comparison

Hadoop
Hadoop
Exasol
Exasol

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.

It is an intelligent, self-tuning and resource-efficient database. Use the unrivalled performance of our analytics database and deploy anywhere, whether that’s on cloud, on-premises, or with a hybrid strategy – turning your organization’s insights into real value faster, easier and more cost effectively than ever before.

-
Unlock analytics as fast as you think; An intelligent, self-tuning and resource-efficient database; Consolidate AI, ML and BI for both standard and advanced analytics, directly in the database – using any data science language; There’s no platform, vendor or architecture lock-in with the Exasol Analytics Database
Statistics
GitHub Stars
15.3K
GitHub Stars
-
GitHub Forks
9.1K
GitHub Forks
-
Stacks
2.7K
Stacks
15
Followers
2.3K
Followers
17
Votes
56
Votes
6
Pros & Cons
Pros
  • 39
    Great ecosystem
  • 11
    One stack to rule them all
  • 4
    Great load balancer
  • 1
    Amazon aws
  • 1
    Java syntax
Pros
  • 1
    Easy
  • 1
    On-prem
  • 1
    Cloud
  • 1
    Great on old hardware (or new)
  • 1
    Complex queries

What are some alternatives to Hadoop, Exasol?

MongoDB

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.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

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.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

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.

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