SQL Performance Tuning: 5 Things to Do for Faster Results

query tuning in sql

Is your SQL Server falling behind in terms of performance? Are poorly-written queries slowing down your applications? Before you set out in search of professional help, make sure you’ve tried everything you could to resolve the issues you’re facing on your database. 

Many problems related to SQL Server can be handled easily with preventative maintenance, patches, and a few activities performed on a regular basis. You can always depend on our SQL performance tuning tools if nothing works for a particular situation. But before that, read the five important things you can do to fix database performance.

5 Things to Do for Effective SQL Performance Tuning

Given below are five simple things you can do to improve database performance:

Check if your SQL Server is up-to-date

An older query engine out of active development is bound to get you in performance-related trouble every now and then. Moreover, the newer versions have much better diagnostic support and will make things faster in multiple ways.

For starters, they come with new versions of the query optimizer. Although Microsoft provides a few tweaks here and there in its service packs, major version releases contain all the best improvements. Other advantages include:

  • Bug fixes
  • New CPU instruction sets
  • Latest software development techniques

Even a 32-bit to 64-bit upgrade can go a long way in improving database performance. This will help regardless of whether you are performing SQL tuning for Oracle or SQL Server.

Increase the Memory

Maxing out its memory will make a difference in its performance. This is because the database utilizes it to cache data instead of making additional trips to disk. Additionally, you gain more memory for cache query plans and can use it for larger sorts and joins. Another advantage is a potential decrease in disk and CPU utilisation, which further helps with SQL performance tuning. Just remember to raise the memory configuration in your SQL Server so it actually makes use of the new RAM.

Open Task Manager

If things remain slow after you’ve increased memory and upgraded your SQL Server,  it’s time to open Task Manager. Sort by CPU, followed by memory, and close any running apps, processes, or software that’s eating up space and you’re unaware of. Configure exceptions for antivirus software, if you have anything installed.

Windows may also be caching data for file system access, stealing RAM from server-side apps such as SQL Server. This can be checked by looking at the Cached number in the “Physical Memory (MB)” tab.

Check the Event Log

This includes both – the Windows Event Log and the SQL Server Log – as they both have potentially useful information. In case Windows or SQL Server are facing any sort of issue, these logs will certainly have more details about it.

You’ll know whether SQL Server is lagging due to hardware-related problems, facing long disk wait times, or dumping core. There may be other services with issues on the server that you can find out about here.

You can also read our post on SQL tuning for Oracle for some useful tips.

See if SQL Server alerts are set up

It is important to ensure these alerts are configured. They will, in turn, help you make sure you’re updated on everything that’s happening in SQL Server. As the person in charge of the database, you need to be aware in case the storage is falling short or other serious errors in SQL Server.

Selecting a SQL Server Database Version for Your Company

SQL Server database and SQL

Choosing the right version of SQL Server is important for the performance you desire. If you’re installing an older one because your organization’s management prefers an older build or the vendor is unable to support newer versions, it is important to let them know which version your company needs, and why.

For this reason, we will discuss some popular versions of SQL Server from older to newer and mention their advantages in this blog.

Which SQL Server Version Works Best with SQL Performance Tuning?

Knowing the versions that support this task is extremely important because it will give you the ability to improve the SQL Server database and SQL performance.

To that effect, we will discuss the SQL Server 2016, 2017, and 2019 versions here.

SQL Server 2016

This version was chosen by a lot of independent software vendors or ISVs for one reason – 2016’s Service Pack 1 edition came with Enterprise features in Standard mode. These helped create a single application version that worked simultaneously for both Standard as well as Enterprise clients.

Advantages of Choosing this Version:

  • It is easy to find support material online as this version is quite popular and numerous database professionals are well-versed with this version’s tools.
  • Standard Edition users may find this version appealing since it supports 128GB RAM and additional space for internal functions such as query plans.
  • Support for this version ends after 2026 – longer than the older versions (2012/2014).
  • Newer applications that have additional compliance requirements will benefit from features in this version such as Always Encrypted, temporal tables, and Dynamic Data Masking. These will make it somewhat easier to protect and monitor sensitive information.
  • You can have both row store and column store indexes in this version, unlike the earlier ones that only had row store indexes.
  • If you need query plan monitoring to help with SQL performance tuning, you can use the Query Store’s features provided in SQL Server 2016 for this purpose.

SQL Server 2017

Being a newer release, it is one of the most regularly updated versions with patches coming in almost every other month. These patches are important because they resolve significant problems. It also comes with a minimum commit replica configuration to ensure commits are accepted by several replicas.

Advantages of Choosing this Version:

  • The upgrades are easier to get from this version onward due to a Distributed Availability Group that contains multiple SQL Server versions in it. Before this, we had AG version upgrades that were not as convenient, leading most users to construct a new cluster and migrate to it rather than opt for an upgrade.
  • This version contains batch mode execution plans, which gives those who require high-performance column store statements an advantage.
  • If you must run your SQL Server on Linux, you may consider SQL Server 2017 as several bugs have been resolved in the Cumulative Updates.
  • It’s a newer version so support will last longer than that of its predecessor.

SQL Server 2019

Released on November 4, 2019, this version is the latest in the SQL Server series. Naturally, it comes with the longest support lifespan, i.e. it will be supported until 2030. This version also receives regular patch updates to fix many significant issues in the form of Cumulative Updates.

Changes and Features in this Version:

  • Patch contents aren’t documented anymore. Moreover, you are likely to receive updates with undocumented new features – something to consider in case you require it for mission-critical production environments.
  • There is a bit of a learning curve thanks to some cutting-edge features in this version, so be prepared to perform some experimentation as you learn.
  • Some of the best performance features are included in the 2019 compatibility mode. However, you will have to keep a close eye on all SQL Server databases and SQL queries – even the ones running fast at present – as these will alter your current execution plans. In other words, you will have to test both slow and fast queries to make sure the slow ones speed up and the fast ones don’t fall behind in performance.
  • Table variables have gotten better in this version along with user-defined functions.
  • Additional features to watch out for including Big Data Clusters, Java support, and high container availability, so you may want to explore this version if you’re looking for perks like these in the SQL Server you want.

In Conclusion

At this point, SQL Server 2017 might seem like the best version to go with, thanks to a balance of features, stability, and support lifespan. Furthermore, you’ll receive plenty of help with SQL performance tuning – a lifesaver for overworked professionals who may not have the time or resources to upgrade every server every year.

Improve SQL Queries & Database for Better Efficiency: Part 2

This is the second blog in our two-part series to explain the best ways to optimize your database, which is best done by enhancing the SQL queries being used. Without much ado, let’s pick up where we left off –

Give Preference to WHERE, instead of HAVING (when defining filters)

A query is efficient when it saves resources by fetching only what’s needed from the database. According to the Order of Operations defined in SQL, WHERE queries are calculated before HAVING statements.

Therefore, it is advisable to give preference to WHERE over HAVING when the goal is to filter a query on the basis of conditions for greater efficiency. 

For instance, let us suppose a hundred sales have been made during the year 2019, and a user wishes to put in a query to determine what the number of sales was for the same time period. They may write something like this:

SELECT Clients.ClientID, Clients.Name, Count(Sales.SalesID)

FROM Clients

   INNER JOIN Sales

   ON Clients.ClientID = Sales.ClientID

GROUP BY Clients.ClientID, Clients.Name

HAVING Sales.LastSaleDate BETWEEN #1/1/2019# AND #12/31/2019#

This statement would return at least a thousand sales records from the Sales table, then filter these thousand records to find the hundred records generated in the year 2019, and lastly, tally the data in the dataset.

If we compare the above with the same instance using the WHERE clause instead, there is a limit placed on the number of records fetched:

SELECT Clients.ClientID, Clients.Name, Count(Sales.SalesID)

FROM Clients

  INNER JOIN Sales

  ON Clients.ClientID = Sales.CustomerID

WHERE Sales.LastSaleDate BETWEEN #1/1/2019# AND #12/31/2019#

GROUP BY Clients.ClientID, Clients.Name

This statement would return the hundred records from the year 2019, after which it would count the records in the dataset, thereby getting rid of the first step in the HAVING clause.

Keep wildcards strictly at the end of a statement

A wildcard creates the largest search possible when looking for plaintext information like names or designations. However, the wider a search, the less efficient it is, and a leading wildcard worsen the performance – particularly when it’s used with an ending wildcard.

That’s because the database has to find every single record that remotely matches the selected field. Take this query to fetch cities beginning with ‘Ch’, for instance:

SELECT Cities FROM Clients

WHERE Cities LIKE ‘%Ch%’

This statement will not just fetch the expected results of Chicago, Chester, and Chelsea, but will also return unintended results, like Richardson, Canal Winchester, and Cannon Beach.

A more productive statement would be:

SELECT Cities FROM Clients

WHERE Cities LIKE ‘Ch%’

This query will lead only to the expected results of Chicago, Chester, and Chelsea.

Use LIMIT to sample query results

The use of a LIMIT query will make sure the results of new SQL queries are relevant and desirable. As the name suggests, its function is to limit the quantity of records to the number mentioned, saving a lot of resources in the process.

Considering the 2019 sales query from above, let us suppose a limit of 15 records:

SELECT Clients.ClientID, Clients.Name, Count(Sales.SalesID)

FROM Clients

  INNER JOIN Sales

  ON Clients.ClientID = Sales.ClientID

WHERE Sales.LastSaleDate BETWEEN #1/1/2019# AND #12/31/2019#

GROUP BY Clients.ClientID, Clients.Name

LIMIT 15

The results will indicate if the data set is worth using or not.

Adjust Your Timing a Bit

If you’re looking to minimize the impact of your analytical queries on the production database, consult with an Oracle Database Administrator regarding the scheduling of your SQL queries so that they can be run during off-peak hours.

Specific hours when there are fewest concurrent users, generally in the middle of the night, should be chosen to run such resource consuming queries. If your SQL queries are more likely to include the following criteria, consider running it during off-peak timings:

  • Selecting from huge tables (where there are over a million records)
  • Queries with Cartesian or Cross Joins
  • Looping queries
  • SELECT DISTINCT queries
  • Subqueries that are nested
  • Search queries involving wildcards in long text or memo areas
  • Numerous schema statements

Query with Confidence!

Keeping these and other SQL tips into consideration will certainly enable you to construct efficient, smart queries that will operate swiftly and fetch your team the game-changing insights it needs.

Improve Performance of SQL Query with these Great Techniques

SQL performance tuning can be an extremely complicated task, especially where data in huge quantities is concerned. When implementing queries to insert data in large quantities, even the tiniest of changes can have a major impact on performance – for better or for worse. 

If you are new to databases, you may be wondering what SQL performance tuning is and how you can use it with sound knowledge of the fundamentals and a few tricks up your sleeve. In this blog, you will find some fundamental techniques for SQL tuning to improve performance of SQL query being entered in the database. 

Techniques to Improve the Performance of SQL Queries

Consider these five tips and techniques to enhance database performance – 

Indexing

Indexes are quite effective in SQL tuning but are often overlooked at the time of development. Basically, an index is a data structure that can boost data retrieval speeds in tables by supplying quick random lookups and prompt access to requested records. This implies that once you have made an index, selecting, SQL performance monitoring, and sorting operations are faster. 

They are also useful in defining a primary key that will prevent other columns from having the same values. Naturally, database indexing is a vast topic that deserves its own set of blogs, but for now, it is important to understand that the aim is to index the larger columns intended for searching and ordering.

  • Keep in mind, however, that indexes must be modified after INSERT, UPDATE, and DELETE operations, which means they could actually worsen the performance of the database if your tables are receiving a large number of these commands. 
  • Furthermore, Database Administrators usually discard their indexes before executing gigantic batch inserts involving millions of rows, to hasten the insertion process. Once the task is complete, they then create the indexes all over again. It is important to remember, in such cases, that when the indexes are dropped in this manner, it affects all the queries being executed in that table. Hence, to improve performance of SQL query, this approach is typically taken in certain situations that require a single sizable insertion.

Execution Plan Tool in SQL Server

This tool helps create indexes and it shows all the data retrieval techniques selected by the query optimizer. There are walkthroughs available that will help newcomers learn more about this tool.

  • If you are using the SQL Server Management Studio, you can fetch the execution plan by pressing on Ctrl+M to select the “Include Actual Execution Plan” option before executing your query. This leads to a third tab named “Execution Plan” that will show any missing indexes that it has detected.

Steer Clear of Coding Loops

Suppose you need to insert a thousand queries in your database in one go. In that case, you may be tempted to do it using a loop but you must, in fact, refrain from doing so. 

  • Instead, consider changing the snippets containing the loop in unique INSERT or UPDATE statements that have additional rows and values. 
  • Make sure that your WHERE clause avoids updating the stored value if it matches the existing value. Such a trivial optimization can dramatically improve performance of SQL query by updating only hundreds of rows instead of thousands.

Checking Whether a Record Exists 

This is a handy SQL optimization approach that concerns the use of EXISTS(). 

  • In case you want to know if a certain record is present in the database, make a preference for EXISTS() instead of COUNT(). That’s because EXISTS() can give you much better performance with more coherent code as it leaves the table the moment it gets the data it needs. On the other hand, COUNT() scans the whole table every single time, counting up each and every entry that matches your condition.

How You Need Tuning to Improve MySQL Database Performance

SQL performance tuning is about saving you a great deal of money by improving various aspects of database management. Be it changing inefficient queries or replacing unnecessarily large indexes, tuning your database can really help you regulate your expenses.  

SQL tuning will not only improve MySQL database performance, but it will also help you save multiple resources, whether you operate your database servers on-premises or migrate your data over to the cloud.

Performance Tuning – More Than Just Optimization of SQL Queries

A majority of database professionals mostly focus on ensuring uptime by keeping tabs on the allocation of resources such as storage and memory. These formed a sizable portion of database management until companies started moving their databases to enormous cloud resources like AWS and Azure. 

This gave importance to other aspects like performance tuning in SQL, which DBAs work on once they ensure that things are running somewhat smoothly. However, a lot of database professionals may have to tweak a SQL Server that they aren’t familiar with, and there’s not much help available for such instances. 

Identifying Problem Areas During Performance Tuning

It can get intensive trying to figure out all the issues and resolving them one after another. At first, your problems may not even involve the optimization of SQL queries, and you may begin your search at the user/session-level. 

What some professionals do at this point is, they listen to the users and ask questions such as – 

  • Are there any specific times when the application slows down, for example, when they create an extra ticket or open an active one?
  • Which data takes excessive time to render?
  • How long does saving a record take? (a specific answer may be preferable)

Improve MySQL Database Performance in SQL Server with These Tools

Fortunately, SQL Server has multiple features that can help you improve MySQL database performance with greater convenience. Some of them are – 

Plan Guides

Plan guides enable you to adjust the way SQL Server executes a query, affecting performance. These are especially useful in case of queries written by another vendor, where some experts may not be willing to change them right away, as you can add a query hint to influence its operation. 

However, plan guides may get obsolete over time because the scenario may change after a while but they cannot. To overcome this, make a note of reviewing them from time to time. 

Query Store

This feature helps in the optimization of SQL queries too. It allows the user to determine which queries are taking up the most resources, and then tune them. Apparently, the Query Store feature is not enabled in some SQL databases because the user rarely needs it at first, but enabling it is easy.

Some DBAs are not aware of the Query Store, while others know of it but haven’t explored it enough, so the feature may as well be disabled. They can begin its use once they know how it works so that they can analyze various performance fluctuations caused because of modifications in the query plan.

Database Engine Tuning Advisor

This function examines workflows and suggests indexes or other strategies to improve MySQL database performance. On the other hand, don’t run this tool until your database has sufficient data stored, as the recommendations are more productive at that point. 

It won’t be as useful for a newer application that has, say, only a thousand rows in its tables, than after the app has expanded a bit.

Why DBA Tuning for Oracle SQL Query is Crucial in Databases

SQL tuning is an extensive topic in itself that deserves coverage in books dedicated to stored programming. This is because it is considered as a vital skill for those who create stored programs in MySQL or Oracle.

There are several other reasons as well, which we will discuss in this blog. 

DBA Tuning of SQL Queries – Why They are Important

Take a look at some reasons why SQL tuning is so important – 

  • Those who are not convinced about the importance of DBA tuning need to remember a simple fact that SQL statement execution takes up the most time when stored program execution time is analyzed. 
  • Additionally, a database that is insufficiently tuned or not tuned at all is tremendously slow by comparison. 
  • An untuned database cannot scale well with the growth in data volumes. This means that although your program appears to perform acceptably well at the moment, chances are, it will face serious performance issues in the future without proper tuning.

Database Query Optimization – An Informative Example

Given below is an example that explains the necessity of SQL query tuning in overall system performance. Let us consider a query that performs a straightforward join between two tables:

SELECT sum(sale_value),x.sales_id

FROM tx_10000 x,ty_10000 y

 WHERE x.sales_id=y.sales_id

GROUP by x.sales_id;

As data gets collected every day, the size of the tables also increases. At first, there may not be any visible change in performance, but that will change just after some days. After about seven days, the application will become nearly inoperable if the query plan is not correctly selected by the database SQL optimizer, and that’s when the need for a DBA SQL tuning is realized. 

On closer analysis, the DBA shall uncover a proportional relationship between table size and elapsed time. It is also observed that along with the worsening query performance as the tables expand, there is also an acceleration in the rate of increase.

The DBA may project the estimated time to be around twenty hours as the size of the tables approaches their peak sizes, around a million rows, which is truly a poor performance trend. 

The issue and solution both seem obvious once the SQL statements used in the application are assessed, and the solution is to perform database query optimization by supporting the join with an index, which can be created in this manner: 

CREATE INDEX i_ty_1000 ON ty_1000 (sales_id);

This brings a remarkable improvement in the performance trend, with over 99 percent decrease in elapsed time for the mentioned query. Furthermore, the database is over a hundred times quicker and it can now scale well with the raise in table data volumes. 

In Conclusion

Such dramatic changes cannot be achieved through hardware upgrades, stored program tuning, or any amount of server enhancement. Even if any of these were to be carried out, it wouldn’t make much of a difference in the long run. 

This is because the rapid degradation would ultimately quash any performance improvements attained by other techniques. This is why DBA tuning is more important than any other mode of optimization and should be performed first. 

Oracle or MySQL SQL query tuning is the most essential aspect of application performance in general, so make sure that SQL is tuned before any other sort of optimization activities are carried out.

Oracle Database and SQL: Tips for MySQL Database Performance Tuning

Until now we have learned a lot about Oracle database and SQL performance tuning. Now, let’s discuss MySQL database performance tuning. Just like any other relational database, MySQL could also be a nightmare to many. It can crawl to a halt at a moment’s notice and in the next moment, you will find it leaving your apps in the lurch and your business on the line. The fact is, regular errors underlie most MySQL performance issues. 

To ensure your MySQL server bustles along at great speed, providing consistent and stable performance, it’s imperative to eradicate such mistakes that are often confused by some subtlety in your configuration trap or workload. Just like any other performance tuning tips for Oracle database and SQL, MySQL too has some of its own performance tuning techniques that we have described in this blog. Let’s get started without wasting more words-

Oracle Database and SQL- Know How to Tune MySQL Database Performance

Fortunately, many MySQL performance problems have similar solutions which make both tuning MySQL and troubleshooting a manageable task. 

Here are a few tips for getting great performance out of MySQL.

Tip 1# Profile Your Workload

The best way you can understand how your server invests its time is to profile its workload. By doing so you could expose the most expensive queries for further tuning. When you issue a query against the server, you don’t have to care much about anything else except how quickly it completes. Therefore, time is the most crucial metric to consider here. 

The most significant way of profiling your workload is using a tool such as MySQL Enterprise Monitor’s query analyzer. Such a tool is meant to capture queries that are executed by the server. Furthermore, it returns a table of tasks sorted by decreasing order of response time, quickly bubbling up the most time-consuming and expensive jobs to the top so that you can find where you need to put your efforts. Workload-profiling tools group identical queries together that allow you to find slow queries as well as the queries that are fast but executed multiple times. 

Tip 2# Recognize the Four Basic Resources

For functioning, a database server requires four basic resources- Network, CPU, Disk, and memory. If any of these resources are weak, overloaded, or erratic, then the database server is most likely to perform badly. Recognizing these fundamental resources is crucial in two specific areas: selecting troubleshooting and hardware issues. 

While you choose hardware for MySQL, you must ensure the components perform well all around. Just as essential, ensure to balance them reasonably well against each other. Often, businesses choose servers having fast CPUs and disks but that are starved for memory. In some cases, adding memory is a cheap way of enhancing performance by order of magnitude, specifically on workloads that are disk-bound. This might seem counterintuitive, but in various cases, disks are overused as there isn’t sufficient memory to hold the server’s working set of data. 

Another good example of this perspective relates to CPUs. In most conditions, MySQL performs well with fast CPUs as every query runs in a single thread and can’t be parallelized across CPUs. 

During troubleshooting, examine the performance and utilization of all the four resources with much care and determine whether they are performing badly or are simply being asked to execute excessive work. This knowledge can help solve issues instantly. 

Tip 3# Don’t use MySQL as a Queue

Queues and queue-like access patterns can sneak into your application without even letting you know. For instance, if you set the status of an item so that a specific work process can claim it before working on it, then you are ignorantly formulating a queue. Marking emails as unsent, sending them and then remarking them as sent in a common example. 

Queues create problems for two big reasons: they serialize your workload which prevents tasks from being done in parallel, and they mostly result in a table that includes work in process as well as earlier data from jobs that were executed long ago. Both add concealment to the application and load to MySQL. 

Tip 4# Firstly Filter Results by the Cheapest 

The best way of optimizing MySQL is to do imprecise, cheap work first, then the precise and hard work on the smaller that will result in a set of data. 

For instance, consider you are searching for something within an assigned radius of a geographical point. The initial tool in many programmers’ toolbox is the great-circle (Haversine) formula. This will compute the distance along the sphere’s surface. The trouble with this technique is that the formula needs a variety of operations related to trigonometry, which are very intensive toward the CPU. Great-circle calculations tend to perform slowly and make the machine’s CPU utilization skyrocket. 

Before you implement the great-circle formula, cut down your records to a small subset of the total, and scrape the resulting set to a precise circle. A square that comprises the circle either precisely or precisely is a simple way of doing this. That way, the world outside the square never gets hit with all those expensive trig functions. 

Tip 5# Understand the Two Scalability Death Traps

Scalability isn’t as fuzzy as you may think. In fact, there are explicit mathematical definitions of scalability that are defined as equations. Such equations emphasize why systems don’t scale and why they should. Consider the Universal Scalability Law, a definition that is convenient in expressing and quantifying a system’s scalability qualities. It explains scaling issues in terms of two elementary costs: crosstalk and serialization. 

Parallel processes that must hold for something serialized to take place are inherently limited in their scalability. Similarly, if such processes are required to chat with each other all the time for coordinating their work, they restrict each other. If you avoid crosstalk and serialization, your application could scale much better.

Improve Oracle Database Performance Tuning with Tosska’s AI-Enabled Tools

improve oracle database performance tuning

Oracle database performance tuning is a crucial method for accelerating the application function and data retrieval process. In order to speed up the performance of the application, the developer or the database administrator has to expedite query response time. This implies that they must have a deep understanding of how well the database is organized and how it satisfies its purpose.

Generally, SQL tuning means minimizing the query plan steps which in turn decreases the wait time and time cost. There are a number of ways you can implement to performance tune your Oracle database. In most of the techniques, you would require changing the source code. However, at Tosska Technologies, you will get products that are AI-based and don’t require touching the source code. Let us introduce you to our amazing products that are extremely helpful in Oracle database performance tuning.

3 Brilliant Tools Offered by Tosska for Improve Oracle Database Performance Tuning

Tosska provides solutions for SQL and database related performance optimizations and improvements. We are one of the very few companies in the world that uses artificial intelligence technology to solve different database performance problems. We help our customers to minimize their hardware investment and increase their level of database application service.

We have enlisted below some tools provided by Tosska Technologies that help to improve Oracle database performance successfully.

  1. Tosska SQL Tuning Expert (TSE™) for Oracle®

It’s an innovative machine or SQL tuning tool that upgrades your SQL statements without involving the user. By just point and click, the tool will help you with the ultimate SQL performance solution. The only thing you are required to do is to enter your problematic SQL statement into the product and press the button.

You are free from doing any testing, guessing or analyzing during the complete SQL tuning process. The enhanced SQL statement will get benchmarked with your original SQL statement side by side without any doubt. It isn’t just another tool but provides users with better statistics analysis, query plan visualization, and more.

2. Tosska SQL Tuning Expert Pro (TSE Pro™) for Oracle®

One of the best parts of having this tool is that it will tune your Oracle database without touching your source code. Surprised? But, it’s true. Tosska SQL Tuning Expert Pro is a tool that helps in upgrading SQL performance without even touching the source code of the program. Besides this, users can even use various other performance query plans for different sizes of production databases without the need of keeping a number of versions of the program source. It is specially designed for package application users who don’t hold the source code of their applications.

With our SQL Tuning Expert Pro, SQL tuning gets even easier for application developers than ever before. You can improve the SQL statement without conducting any time-consuming test, program implementation, and integration test that are essential in the software development cycle. Apart from these brilliant SQL tuning attributes, strong indexes recommendation function is also given that assists users in reviewing and discovering more potential indexes that are extremely crucial but may be missing in the current database schema.

To be more specific, it’s an extremely brilliant and cost-aware index advice engine that lets users analyze their existing database schema- in case any new indexes are available that are helpful in enhancing an assigned SQL workload. The engine is capable of handling up to thousands of SQL statements and offers you a reasonable recommendation that even human experts are not able to accomplish.

3. Tosska In-Memory Maestro (TIM™) for Oracle®

Tosska In-Memory Maestro for Oracle is a tool that automates the process of optimizing In-memory SQL and offers recommendations for In-memory objects for a given SQL workload. Our proprietary artificial intelligence engine is highly beneficial in achieving the aforesaid. The tool also offers a user-friendly In-memory simulation function for users so that they can virtually estimate their in-memory table objects for one or more SQL workload captured from AWR or SGA without actually populating those table objects.

Final Words

Nowadays, most of the highly succeeding companies make use of artificial intelligence to upgrade themselves, then why not you too implement it! With our AI-enabled tool, you can improve oracle database performance easily and in less time. Even, in one of our tools, the source code of the program will remain untouched, yet the problem will be solved. The tools really don’t require the user’s involvement in fixing the queries. Therefore, if you are searching for any such product, then browse our products and get the one that suits you the best.

Tosska Technologies aims at helping users to smooth out the problem with the new and advanced technologies in the market. You should surely give it a try; we assure you will love the product offered by us.