Hadoop vs OpenLink Virtuoso
Overview
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Detailed Comparison
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 the first cross-platform Universal Server to implement Web, File, and Database server functionality alongside Native XML Storage, and Universal Data Access Middleware, as a single server solution. |
| - | Virtualization of ODBC- and/or JDBC-accessible Disparate Data Sources;
Virtualization of Storage Services across Dropbox, OneDrive, Google Drive, Box, Amazon S3, Rackspace etc;
Supports SQL and/or SPARQL query access from ODBC, JDBC, ADO.NET, or OLE DB compliant apps and services;
Blistering Performance and Scalability as demonstrated by DBpedia and a majority of the nodes in the massive Linked Open Data Cloud (or KnowledgeGraph);
Built-in and Custom Reasoning & Inference Capability that's critical for modern AI and Digital Transformation initiatives;
Attributed-based Access Controls for ultra flexible security and data privacy;
Open Standards compliant interfaces for client and server interaction entry points;
Use of Hyperlinks as Super Keys for constructing powerful Knowledge Graphs that manifest as a Semantic Web of Linked Data
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Statistics | |
GitHub Stars 15.3K | GitHub Stars - |
GitHub Forks 9.1K | GitHub Forks - |
Stacks 2.7K | Stacks 3 |
Followers 2.3K | Followers 6 |
Votes 56 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to Hadoop, OpenLink Virtuoso?
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
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 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 is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
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
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 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
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 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
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.
