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  4. NetSuite vs Oracle

NetSuite vs Oracle

OverviewDecisionsComparisonAlternatives

Overview

NetSuite
NetSuite
Stacks195
Followers114
Votes0
Oracle
Oracle
Stacks2.4K
Followers1.8K
Votes113

NetSuite vs Oracle: What are the differences?

  1. Customization Flexibility: One key difference between NetSuite and Oracle is the level of customization flexibility they offer. NetSuite is known for its ease of customization, allowing users to tailor the system to their specific business needs without extensive coding knowledge. On the other hand, Oracle may require more technical expertise and resources for customization, making it less flexible for businesses with unique requirements.

  2. Scalability: Another important difference is the scalability of the two systems. NetSuite is a cloud-based solution that is designed to scale effortlessly as a business grows, providing flexibility to add more users and features without significant IT infrastructure changes. Oracle, while also scalable, may require more manual interventions and investments in hardware to accommodate growth, making it a bit less agile in terms of scaling.

  3. Cost Structure: The cost structure between NetSuite and Oracle differs significantly. NetSuite follows a subscription-based pricing model where users pay a monthly fee per user, with the cost varying based on the modules and features utilized. Oracle may have a more complex pricing structure, potentially involving upfront licenses, support fees, and additional costs for customization and implementation, making it more challenging to predict total costs.

  4. Implementation Time: The duration of implementation is another notable difference between NetSuite and Oracle. NetSuite is known for its rapid implementation timelines, thanks to its cloud-based nature and out-of-the-box functionalities that require minimal configuration. In contrast, Oracle implementations might take longer due to the need for more customization, data migration, and potentially more complex integrations with existing systems.

  5. Ecosystem and Support: The ecosystem and support around NetSuite and Oracle vary in terms of availability of third-party applications, consultants, and resources. NetSuite, being a cloud-native solution, benefits from a rich ecosystem of partners and developers who offer a wide range of add-on solutions and expertise. Oracle, with its long-standing presence in the enterprise software market, may have a larger pool of Oracle-certified professionals and consultants, providing more specialized support but potentially at a higher cost.

  6. Industry Focus: NetSuite and Oracle also differ in their industry focus. NetSuite is often preferred by smaller to mid-sized businesses and those in industries such as retail, e-commerce, and services due to its user-friendly interface and quick implementation. Oracle, with its robust capabilities and extensive features, is typically more suited for larger enterprises with complex operations in industries like manufacturing, finance, and healthcare, where scalability and advanced functionalities are critical.

In Summary, NetSuite excels in customization flexibility, scalability, and cost structure, with rapid implementation times and a strong ecosystem focus, making it ideal for smaller to mid-sized businesses across various industries. Oracle, on the other hand, offers robust scalability, comprehensive industry-specific solutions, and in-depth support from Oracle-certified experts, catering more towards larger enterprises with complex operational needs and specific industry requirements.

Advice on NetSuite, Oracle

Daniel
Daniel

Data Engineer at Dimensigon

Jul 18, 2020

Decided

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.

495k views495k
Comments
Abigail
Abigail

Dec 6, 2019

Decided

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.

540k views540k
Comments
Abigail
Abigail

Dec 10, 2019

Decided

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.

558k views558k
Comments

Detailed Comparison

NetSuite
NetSuite
Oracle
Oracle

One complete system including accounting, CRM, inventory, and ecommerce. With NetSuite, you can implement the complete business software suite to run your entire business better or begin with one module and add functionality as you need it.

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.

Powerful web-based accounting software;Real-time inventory management;Complete customer relationship management (CRM);Advanced ecommerce with built-in order management;Web-based professional services automation (PSA);Real-time financial consolidation and global business management
-
Statistics
Stacks
195
Stacks
2.4K
Followers
114
Followers
1.8K
Votes
0
Votes
113
Pros & Cons
No community feedback yet
Pros
  • 44
    Reliable
  • 33
    Enterprise
  • 15
    High Availability
  • 5
    Hard to maintain
  • 5
    Expensive
Cons
  • 14
    Expensive
Integrations
HubSpot
HubSpot
Expensify
Expensify
Box
Box
Yammer
Yammer
DocuSign
DocuSign
Concur
Concur
No integrations available

What are some alternatives to NetSuite, Oracle?

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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