In-Memory Database systems are gaining lot of interest in enterprise as well as SMB circles. As data visualization requirements of companies get complex, so does the need for processing them faster.
Companies are generating 10s and 100s of GB of data each month. There is a very serious need to find solutions that can process this data fast, so that they can be consumed by systems, applications and people in real-time.
Let us start by understanding what is an in-memory database system and what are its advantages.
What is In-Memory Database System?
In – Memory Database systems is a database management systems that primarily relies on main memory for data storage. It is used in contrast to the traditional database. This is paving way to faster and optimized storage management.
Traditional Databases have become an essential component of software applications. But with changing times, it is turning to be obsolete and imposes a threat of security, compatibility and cost.
In-Memory Database Systems can process data 100* times faster than traditional databases depending on the type of hard drive used and data complexity.
Censof In-Memory Database System
Censof’s In-Memory database system aims to not only expedite data processing power but also provide scale especially if you deal with applications that are built on DotNet.
Censof In-Memory DB is built on DotNet, extracts data via ODBC, OLEDB or Dot Net Data Provider sources into an In-Memory Database. The technology is a self contained package where most of the functionality can be called directly.
So you can have the power of the in memory technology directly in your own apps and environment. Currently it is possible to have up to 2.1 billion rows in a Dot Net array. The limit is up to 2GB per object. 32 and 64 bit operating environments are supported.
In-memory databases are definitely a modern look to storage and integration. Each of these functionalities as carefully designed for maximum throughput and scalability.
Benefits of In-Memory Database System
InMemory.Net allows Dot Net applications to run queries at lighting speed. SQL quires can aggregate about hundreds of millions of rows in under a second. This should give you an idea of possibilities in terms of speed and throughput.
InMemory.Net is built for scale. It can process data on a small database (say less than 1000 records) to a large set (say millions, or billions of records). We have personally tested it with several of our small and large customers.
Cost is one of the major factor on why companies are not adopting in-memory database systems. Traditional enterprise software companies command a huge premium on this new tech stack.
We build InMemory.Net keeping in mind the needs of large as well as small and medium businesses. It is appropriately priced so that you gain return on your investment in the short term.
Don’t take my word for it, Try InMemoery.Net today and ask for a price quote that suits your needs.