MapD vs Oracle

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

MapD

5
22
+ 1
4
Oracle

1.4K
1.2K
+ 1
97
Add tool

MapD vs Oracle: What are the differences?

Developers describe MapD as "Open source GPU-Powered Database". Interactively query and visualize massive datasets with the parallel power of GPUs. On the other hand, Oracle is detailed as "An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism". Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.

MapD and Oracle can be primarily classified as "Databases" tools.

"Super fast, and the approach taken" is the top reason why over 2 developers like MapD, while over 36 developers mention "Reliable" as the leading cause for choosing Oracle.

MapD is an open source tool with 1.91K GitHub stars and 271 GitHub forks. Here's a link to MapD's open source repository on GitHub.

Decisions about MapD and Oracle
Daniel Moya
Data Engineer at Dimensigon · | 4 upvotes · 107.4K views

We have chosen Tibero over Oracle because we want to offer a PL/SQL-as-a-Service that the users can deploy in any Cloud without concerns from our website at some standard cost. With Oracle Database, developers would have to worry about what they implement and the related costs of each feature but the licensing model from Tibero is just 1 price and we have all features included, so we don't have to worry and developers using our SQLaaS neither. PostgreSQL would be open source. We have chosen Tibero over Oracle because we want to offer a PL/SQL that you can deploy in any Cloud without concerns. PostgreSQL would be the open source option but we need to offer an SQLaaS with encryption and more enterprise features in the background and best value option we have found, it was Tibero Database for PL/SQL-based applications.

See more

We wanted a JSON datastore that could save the state of our bioinformatics visualizations without destructive normalization. As a leading NoSQL data storage technology, MongoDB has been a perfect fit for our needs. Plus it's open source, and has an enterprise SLA scale-out path, with support of hosted solutions like Atlas. Mongo has been an absolute champ. So much so that SQL and Oracle have begun shipping JSON column types as a new feature for their databases. And when Fast Healthcare Interoperability Resources (FHIR) announced support for JSON, we basically had our FHIR datalake technology.

See more

In the field of bioinformatics, we regularly work with hierarchical and unstructured document data. Unstructured text data from PDFs, image data from radiographs, phylogenetic trees and cladograms, network graphs, streaming ECG data... none of it fits into a traditional SQL database particularly well. As such, we prefer to use document oriented databases.

MongoDB is probably the oldest component in our stack besides Javascript, having been in it for over 5 years. At the time, we were looking for a technology that could simply cache our data visualization state (stored in JSON) in a database as-is without any destructive normalization. MongoDB was the perfect tool; and has been exceeding expectations ever since.

Trivia fact: some of the earliest electronic medical records (EMRs) used a document oriented database called MUMPS as early as the 1960s, prior to the invention of SQL. MUMPS is still in use today in systems like Epic and VistA, and stores upwards of 40% of all medical records at hospitals. So, we saw MongoDB as something as a 21st century version of the MUMPS database.

See more
Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of MapD
Pros of Oracle
  • 3
    Super fast, and the approach taken
  • 1
    Hehe
  • 41
    Reliable
  • 28
    Enterprise
  • 14
    High Availability
  • 4
    Hard to maintain
  • 3
    Maintainable
  • 3
    Expensive
  • 2
    High complexity
  • 2
    Hard to use

Sign up to add or upvote prosMake informed product decisions

Cons of MapD
Cons of Oracle
    Be the first to leave a con
    • 12
      Expensive

    Sign up to add or upvote consMake informed product decisions

    - No public GitHub repository available -

    What is MapD?

    Interactively query and visualize massive datasets with the parallel power of GPUs.

    What is Oracle?

    Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.

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

    What companies use MapD?
    What companies use Oracle?
    See which teams inside your own company are using MapD or Oracle.
    Sign up for Private StackShareLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with MapD?
    What tools integrate with Oracle?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to MapD and Oracle?
    Tableau
    Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
    Apache Spark
    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
    Clickhouse
    It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.
    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.
    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.
    See all alternatives
    Interest over time
    How developers use MapD and Oracle
    Avatar of Onezino Gabriel
    Onezino Gabriel uses OracleOracle

    Gerenciamento de banco de dados utilizados por odos os serviços/aplicações criados

    Avatar of Adrian Harabulă
    Adrian Harabulă uses OracleOracle

    recommended solution at school, also used to try out alternatives to MySQL

    Avatar of Satoru Ishikawa
    Satoru Ishikawa uses OracleOracle

    データベース構成設計や実際のデータ操作など。実作業では9i, 10g, 11gを触った。

    Avatar of Hyunwoo Shim
    Hyunwoo Shim uses OracleOracle

    Oracle을 통해 RDB를 학습하였습니다.

    Avatar of douglasresende
    douglasresende uses OracleOracle

    I'm expert database.