When comparing OrientDB vs Oracle Database, the Slant community recommends OrientDB for most people. In the question“What are the best databases to use for Node.js applications?” OrientDB is ranked 10th while Oracle Database is ranked 15th. The most important reason people chose OrientDB is:
This database is primarily, or historically, thought of as a graph database. However, it is actually a multi-model database that supports a variety of noSQL models (key-value, document, etc.).
Specs
Ranked in these QuestionsQuestion Ranking
Pros
Pro Multi-model database (document, object, graph)
This database is primarily, or historically, thought of as a graph database. However, it is actually a multi-model database that supports a variety of noSQL models (key-value, document, etc.).
Pro Open Source commercial friendly license (Apache 2)
The Apache 2 license is one of the most liberal licenses. You can use OrientDB for any purpose for free.
Pro Free clustering support
Unlike other NoSql databases, OrientDB offers clustering support for free. Furthermore, it's not a basic Master/Slave, but it supports Master-Master replication + Sharding.
Pro Distributed Graph Database with relational type Documents
Pro Supports sql as well as other query languages
It can be queried in a number of ways, but the ability to query with SQL makes it a bit more familiar to use.
Pro Multi-master replication
OrientDB is incredibly scalable thanks to its multi-master replication. All nodes in a cluster can both read and write.
Pro Full text search
Full text search support is available when using Lucene based indexing algorithm.
Pro Performance
OrientDB is very fast, especially when it comes to relationships between records (or "links").
Pro Enterprise version available
The Community Edition is free and covers many features, but an Enterprise Edition is available (prices are transparent, published online) with 24x7 support.
Pro World wide technical support
Oracle is a large company with specialists in a lot of countries. It's very easy to find consultants and any kind of help with Oracle.
Pro Useful features for daily workflow
Some of the most important features are the partitioning option, active data guard, and security options. All of these are very useful for daily workflow.
Pro Stable
Pro Secure
Pro Scalable
Pro Reduced downtime during upgrades
Oracle Database has parallel upgrading for high available applications. Updates are made in parallel without keeping the database down.
Pro High performance parallel quesries
Oracle Database has introduced concurrent execution of union branches, which means that one set of parallel servers will execute one branch, a second set will execute another branch and so on. Instead of the old system where each branch executed one after the other.
Cons
Con Not well known
It's a very unfortunate thing, but it's true. Not many people know of this gem so that makes it difficult to find community support at times. It also makes it hard to get people on board with it who shop products by brand name or flashy marketing. It also means there are fewer code snippets, libraries, and frameworks that consider it. While it's interoperability is good with SQL support and Tinkerpop, it still doesn't change the fact that many things don't give it much thought and that can lead to more work as a developer sometimes.
Con Learning curve
A lot of effort went into making OrientDB easy and familiar to use (such as SQL queries for example). However, it's important to understand the database engine a bit and how it works in general (links for example). This involves a bit of a learning curve if you're not familiar with graph databases. Not an enormous curve or anything, but it's still a consideration.
Con Bulk inserts may cause an out of memory crash
When doing inserts in OrientDB you have to be careful to do them one at a time. Bulk inserts may cause out of memory error
.
Con Proprietary
Con Terrible company reputation
Oracle is very (in)famous for being involved in a number of controversies. Some of them have ended up in lawsuits with other tech companies because of license disputes. The latest one is a lawsuit against Google for Google's implementation of JAVA in their Android ecosystem.
Con Ghost data
To work around ghost data you can after encrypting something, manually move everything out of the old table space and then shred those data files. To be able to get rid of ghost data automatically would be great.