If a person of relational databases paradigms will be tuple oriented we now have the greatest limitation here.

If a person could design column oriented db, that will improve performance a great deal. Vector procedures would perform as they are, indexing, hashing for straightforward symbol posts searches, linked lists behind the curtain as engine.

Memory mapping: dumps in huge portions in microseconds in addition to loading individuals disk images.
And have use well understood and standard language (SQL) that multiple suppliers support.
Imagine the number of tools might be created for interfacing that factor, due to its simplicity.
Would not it be better quality (and Hug simultaneously)?

UPDATE
Because of all contributing factors.
Question continues to be unjustly closed, though i have found your all solutions very informative.

Are modern RDBMS row oriented?

No. They are created for specific tasks, say OLTP versus OLAP. The popular ones like MySQL have column-store engines (ex: Infobright). And you will find DBMS's which are built like a column-oriented DB in the ground-up too.

Here is a potentially interesting read for you personally: C-Store: A Column-oriented DBMS (PDF format)

LucidDB is really a popular column-oriented database for data warehousing and BI:

LucidDB is the foremost and only open-source RDBMS purpose-built entirely for data warehousing and business intelligence. It is dependant on architectural cornerstones for example column-store, bitmap indexing, hash join/aggregation, and page-level multiversioning. Most database systems (both proprietary and open-source) start existence having a focus on transaction processing abilities, then get analytical abilities bolted on being an afterthought (if whatsoever). By comparison, every element of LucidDB was made with the needs of flexible, high-performance data integration and complicated query processing in your mind. Furthermore, comprehensiveness inside the focused scope of their architecture means simplicity for that user: no DBA needed.

See its listing of features for individuals that overlap together with your interests here: LucidDB Features

And have use well understood and standard language (SQL) that multiple suppliers support.

You should use SQL with LucidDB.

Google's proprietary database has already been column-based. That's a primary reason your searches along with other Googly unexpected things happen so rapidly. Check this out wiki article that also includes links and references with other implementations.

So far as why this kind of db isn't being used? You will find several reasons, one of these is the fact that you no longer need for those implementations. For instance, you've got a pc in your own home running some desktop databases and never a mainframe managing a massively scalable data repository. You might have the second but utilizing it to keep your computer data could be similar to utilizing a chain saw to chop your butter.

Besides, you will find other database types for example object oriented and ontological. Nobody kind is going to be suitable for everything, but for the time being, the tried and tested row-based is within place and dealing for a number of people.

You will find several column-oriented databases in a commercial sense available, for instance Vertica; I done a specialized high place rate, write-mostly store with fixed schema. As the enhanced indexing was important, more essential to us was the enhanced compression ratios accomplished on posts with sparse value distributions.

You mean such as this?

Vector Database

You may be thinking about OLAP too.

OLAP