The 10 Best SQL Analytics Services For QA Teams In 2023

Aqua Data Studio is a database IDE that allows you to run queries on most popular data sources. It also comes with plenty of big data management and visual analytics features. The IDE helps data scientists easily develop and run SQL queries. Results are shown in a filterable spreadsheet-like grid which makes them familiar for anyone who has used Excel.

A cool feature is a visual whiteboard. This lets those without advanced SQL code knowledge create queries using a visual drag and drop interface. The tool uses this information to generate a full SQL statement.

Aqua Data Studio pricing starts at $499 for a single user.

Cluvio is a cloud analytics platform that lets you analyze data in your existing databases and warehouses. You can then create and share interactive dashboards.

The process is satisfyingly simple. The tool works with most databases, including AWS, Oracle, Google Cloud, and Microsoft SQL Server. Just connect the data from inside the dashboard. You can then use the built-in SQL editor to create and run ad-hoc queries. This results in easy-to-read charts and dashboards that you can share with others in your organization.

Cluvio has a free plan for single users with limited dashboards and queries. Paid plans start at $279/month.

Valentina lets you create reports from either your existing database or its own object-relational system. It does this by combining an enterprise reports server with two database servers. Built-in encryption and SSL ensure that your data is secure. You can also see a real-time overview of database performance by watching live logs and running diagnostics.

The reports server lets you turn the data into visual reports. These can be exported as PDFs, web pages, images, or text reports. Whichever option you choose, it’s easy to share these reports with your team or people outside your organization.

The company offers a powerful free server. The paid option costs $1,499.95 per server and adds features like data modeling and report design.

Singular is a data platform that makes it easy to pull in data from various marketing platforms and run queries. The software has ready-made integrations with all the leading marketing platforms, including Google Ads, Facebook, Linkedin, and many more. Import data from each platform to get an overall view of marketing activity.

You can see fields like ROI, conversions, and cost, which makes it easy to see how campaigns are performing across multiple platforms. The tool also comes with ready-made sample SQL queries so you can perform searches without knowledge of SQL.

Singular has a free plan that provides unlimited data connectors and seats. Paid plans offer more reporting and permissions. Contact the company for pricing.

One feature I like is how Teradata Vantage Advanced SQL Engine helps you get fast answers. It does this by breaking down complex analytics workloads and distributing them for more efficient performance.

The software has plenty of features. 4D analytics is particularly powerful—it combines geospatial location metrics with time-series data, which is especially useful for gaining insight into technology like IoT smart devices.

The amount you pay for Teradata Vantage depends on your usage and your cloud server. Pricing starts at $3 per vantage unit on AWS.

IBM Db2 Big SQL is an enterprise-level analytics solution that uses an SQL-on-Hadoop engine. Running queries from within the platform is easy and there are even ready-made templates you can use. The tool also integrated with Apache Spark.

The tool stands out due to its powerful data management features. It allows you to integrate multiple data types. For example, you can combine new forms of unstructured data such as that from social media or video and audio streaming with traditional data. Companies with a lot of cold data taking up bandwidth can easily offload this to Hadoop.

You can buy versions of the tool either integrated with the Cloudera Data Platform or a cloud-native service. Contact the company for pricing.

Apache Zeppelin is a web-based notebook that lets you plug in data from various sources for analysis. QA analysts can then run queries and create visualizations based on the results.

Once the report is finalized, you can share the URL with relevant parties. You can even embed the results in a web page using an iframe. And if you need to change an aspect of the report you can do so—all adjustments are reflected in real-time.

A huge benefit to using Apache Zeppelin is that it is open-source and free to download and use.

Microsoft SQL Server is an advanced data management platform. It connects with external applications and business intelligence tools while offering built-in intelligence functionality.

The SQL server works with Azure Data Studio to make accessing data insight easy. It has a rich SQL editor that lets you run queries and quickly visualize results with charts. You can also use SQL Server Management studio for more complex administrative tasks.

The company offers several versions of SQL Server. These include free versions for small businesses with up to 10GBs of storage and paid standard and enterprise editions.

Databricks is a robust data science and analytics platform. It uses lakehouse architecture that combines the performance of data warehouses with the flexible object stores offered by data lakes. The SQL platform is super flexible. Data analysts can query data directly using the SQL-native interface. Or you can integrate it with BI tools like Tableau and Microsoft Power BI for further insights.

When using the native platform, you can save regularly used code snippets to make repeat queries easy. You can even cache results to shorten run times. Once you have your results, you can create easy-to-understand visuals and share them with other parties, including those outside your organization, via the web.

Databricks pricing is based on the resources you use. The standard plan starts at $0.07 per Databricks Unit.

SQL Sentry is a database monitoring tool from SentryOne. It lets you optimize database performance by helping you monitor, diagnose, and fix database issues. The performance analysis dashboard shows an overview of server activity. If you want to look at a particular aspect, you can dig deeper into the data from here.

The top SQL view is useful. It highlights the top 20% of resource-intensive database queries. You and your team can then focus on tuning these queries to improve database performance. Sharing performance data is easy too. Create reports in a web browser and then share them with people in your organization.

SQL Sentry doesn’t advertise pricing. But you can head to the website to request a quote.