Microsoft sql server 2012 vs oracle 11g

If it finds at least two columns with a common byte pattern, then it stores that byte pattern once on the page and refers to this byte pattern from the respective columns. Partitioned table parallelism enables to process in parallel the queries that reference to partitioned tables. This feature will improve the query processing performance on partitioned tables for many parallel plans. Partition-aligned indexed view enables to create and manage summary aggregates in your data warehouse more efficiently, so this feature improves the query performance.

For example, a fact table is commonly partitioned by dates, and we may have several indexed views with summary aggregates which can be defined on the fact table to help speed up the queries.

When you switch in a new table partition, then the matching partitions on the partition-aligned indexed views defined on the partitioned table switch automatically.

PowerShell in SQL Server is a new provider for browsing and managing databases, tables and other database objects. Filtered indexes enable indexing on subset of rows in a table, think about this as having a WHERE clause, so the B-Tree data structure will only contains search information of data rows that match the filter criteria.

This may provide space-saving and performance improvement when you insert or update reducing maintenance cost the data and it's useful for queries that return a small percentage of rows from a large data set. One common scenario is to index only data to a particular date that is, current month. Sparse columns efficiently manage empty data in a database because they enable NULL data to consume no physical space.

This feature is also enabled in Oracle, although in SQL Server sparse columns can support wide tables with up to , columns, unlike the counterpart Oracle implementation which has a limit to 1, columns. Module signing using certificates is a way to sign database objects such as stored procedures, functions, triggers and assemblies. This means that you can temporarily elevate privileges without switching the user context.

SQL Data Services is a highly scable, cost effective, on demand data storage and query processing service. It is built on robust SQL Server technologies and helps guarantee a business-ready service level agreement that covers high-availability, performance, and security features.

Users can access information on any device, from desktop computers to mobile devices. Gartner regards Microsoft as the highest rated company for its success in making its BI visions a market reality.

The product includes support for enterprise level data warehousing, online analytical processing OLAP , reporting, scorecards, data mining, ETL, key performance indicators KPI , and the integration with Microsoft Office. Now let's talk about the new features of Oracle 11g database. Starting with 11G, more table partitioning options have been provided and these should reduce the burden of the DBA to a great extent. The new extensions are interval partitioning, REF partitioning, virtual column-based partitioning and the introduction of Partition Advisor.

NET provide connection pool workload balancing facilities through the integration with the new workload balancing advisor tool. Unstructured text data from PDFs, image data from radiographs, phylogenetic trees and cladograms, network graphs, streaming ECG data 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. Get Advice. Follow I use this. Join the Snowflake Data Application Summit.

Needs advice. Which would be better for this application? I have not dealt with a sound based data type before. How do I store that and put it in a table? Thank you. Hi Erin, Honestly both databases will do the job just fine.

I personally prefer Postgres. You'll get all the features you need with PostgreSQL. MongoDB might be an excellent option as well if you need "sharding" and excellent map-reduce mechanisms for very massive data sets.

You really should investigate the NoSQL option for your use case. Starting with AWS Aurora is an excellent advise. I recommend Postgres as well. Superior performance overall and a more robust architecture. Easy to start, lightweight and open source.

Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare. Pros of Oracle. Pros of Oracle Sign up to add or upvote pros Make informed product decisions. Cons of Oracle. Asked 3 years, 6 months ago. Active 2 years, 1 month ago. Viewed times. Oracle', N'AllowInProcess', 1 exec master. Dharmendra Parauha Dharmendra Parauha 11 1 1 bronze badge. Please refrain from adding this to your questions. Add a comment. Active Oldest Votes. Sign up or log in Sign up using Google.

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