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Aginity has proven to be an invaluable tool for organizations looking to improve their work efficiency and productivity. Users have found …
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What is Coginiti?
Coginiti (formerly Aginity), the collaborative intelligence company, empowers users to get consistent answers to any business question. The Collaborative Intelligence platform provides a unique workspace that empowers the entire organization to build, share and reuse analytics. By making quality…
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What is Coginiti?
Coginiti (formerly Aginity), the collaborative intelligence company, empowers users to get consistent answers to any business question. The Collaborative Intelligence platform provides a unique workspace that empowers the entire organization to build, share and reuse analytics. By making quality…
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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Aginity has proven to be an invaluable tool for organizations looking to improve their work efficiency and productivity. Users have found that the ability to access databases and external files for integration has greatly enhanced their data analysis capabilities. The system's excellent data synchronization ensures consistency, which is vital for accurate decision-making. Multiple departments within organizations, including business intelligence and analytics teams, have benefited from Aginity's direct interface to databases like Netezza and RedShift, allowing them to design, create, and execute SQL queries seamlessly. For users dealing with RedShift instances, Aginity has been particularly helpful in performing queries and conducting maintenance tasks. Prior to using Aginity, users encountered performance and productivity issues when running queries in RedShift's editor. Overall, Aginity serves as a central hub for database management, analytics tools, and SQL code reusability, empowering users to drive innovation by sharing their SQL skills.
Intuitive User Interface: Many users have found the user interface of the big data analytic software to be intuitive and easy to use, especially when connecting to various databases. They appreciate how it simplifies their workflow and makes it easier to navigate through different features.
Transparency of Database: Reviewers have appreciated the transparency provided by the software's database, which includes detailed table information such as columns, data types, data length, and space usage. This feature has been particularly helpful in understanding and analyzing the structure of the database.
Collapsible Object Browser: The object browser in the software is highly praised by users for its ease of navigation. It allows them to have a clear picture of tables and views, along with their composition. Users prefer its collapsible format organized by schema names, table/view names, and specific columns over other similar software options.
Cons:
Tedious Navigation: Some users have found the navigation in Aginity to be tedious, causing frustration and slowing down their workflow. They mention difficulties in finding specific features and navigating between different sections of the software. Automatic Character Creation: Several reviewers have expressed dislike for the automatic creation of parentheses and other characters in Aginity. This feature often leads to deleting unnecessary parts, resulting in wasted time. Users suggest that having more control over this auto-creation process would improve their overall experience. Lack of Log Feature: Users have mentioned that Aginity lacks a log feature for running codes and troubleshooting. This omission makes it difficult for them to track errors or identify issues with their code execution. They feel that having a log would greatly enhance their ability to debug and optimize their queries.
Users commonly recommend the following when it comes to using this software:
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Prioritize SQL proficiency: It is important to be well versed in SQL before using this software. This will allow for better utilization of its capabilities.
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Minimize simultaneous queries: To avoid freezing and optimize performance, it is recommended to minimize the number of queries running simultaneously.
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Give it a try: Trying out the software is suggested to see if it meets one's expectations. This will help determine if it aligns with specific needs and requirements.
Users find this software worth using for data analysis and analytics on large data warehouses and big data. It has been compared to MySQL Workbench and praised as a great tool for working with Amazon databases, particularly RedShift. The simplicity and usefulness of the SQL command area and the ability to view data simultaneously are appreciated. The learning curve for this software is reported as manageable, making hiring a consultant unnecessary.
Reviews
(1-9 of 9)Companies can't remove reviews or game the system. Here's why
January 22, 2022
Aginity is an excellent software, you should try it.
Aginity is a Very reliable tool that has been enabling our organization to access databases or external files for integration this feature has immensely improved our work efficiency and productivity. also, its ability to access past tasks has been helping us to refer back and share data. agility offers excellent data synchronization helping us maintain consistency within the system.
- Big data analytic, it's able analyze large data warehouse.
- Very easy to use especially connecting to various database.
- Productivity tracking.
- Navigation something is about tedious.
- We had installation issues ,it would be great to have easier installation option.
- The system freezes when I press execute.
December 29, 2021
My Experience with Aginity at Columbus Crew
It's almost two years now ever since I started using Aginity at my workstation. Aginity is used in a few selected departments in my current firm. I use it to access data in relational databases and external applications and integrate it to Aginity pro.
- Accessing data scattered in relational datbases.
- Creating sophisticated analytics with SQL interface.
- Reusing and sharing past projects with colleagues.
- Aginity do not offer capabilities for large enterprise organizations.
December 13, 2021
My Great Adventure and Experience with Aginity
Aginity had empowered our employees with BI, database management, and analytics tools that make it effective to re-use SQL codes. Aginity is used in a few selected departments to drive more innovations by sharing the team's SQL skills in one central location.
- Explore, model and analyze data across all company platforms.
- With Aginity, we improve team engagements where we can access and re-use colleagues' SQL.
- Make faster data-driven decisions with BI capabilities.
- The vendor hasn't offered enough tutorials inform of documentations and articles for all Aginity features.
December 10, 2021
Easy to navigate,Clean and Attractive GUI, Aginity reduce business continuity risks.
My experience overall with Aginity has been very satisfying, this is because it offers Full-featured just at our disposal. It is easy to use, the setup process is not complicated. It offers a quality analytics tool [that] empowers our business to complete successfully on this aspect. The company expert team includes business technologies, innovators, and entrepreneurs who work collaboratively to produce high-quality services.
- Aginitu Amp gives both data scientists and business users the capabilities to build, reuse and share advanced analytics easily.
- The Intuitive user interface allows data scientists and business analysts to build, reuse, and share analytics without SQL or coding.
- Error message windows and closes before the user can read them, hence leaving the user in suspension mood, and hovering my finger over the print screen capturing them.
- Navigation sometimes its a little bit buggy.
December 09, 2021
Aginity for Metadata under control
Aginity is the tool we use in order to query the database. We [use] it for IBM Pure Data (Netezza), Hortonworks and we had some trials with DB2. We use it in order to see all objects' metadata, to review DDL and DML on existing structures, and to see information regarding columns, keys, distribution, and so on.
- See the list of tables, views, procedures
- help preparing some queries, such as select top 100, reclaims, etc
- run many queries all together and monitor the execution of each of them
- with Hortonworks, you have to modify manually some settings in order to correctly see the metadata (HCAT properties)
- with reclaim, the generate only express statistics and "limit 100" on the select is a little risky if you do not pay attention.
- Saved views cannot be retrieved with the same [syntax] you wrote them, but they become really hard to read
May 23, 2021
Aginity - worth what it costs.
We have been using Aginity mainly to connect to our Redshift instance and it has been very helpful to perform queries, do all the necessary maintenance, and follow in real-time what's going on in our environment.
Before start using Aginity, we were running everything in Redshift's editor what was causing a bit of trouble due to do not be the best way in terms of performance and productivity.
Before start using Aginity, we were running everything in Redshift's editor what was causing a bit of trouble due to do not be the best way in terms of performance and productivity.
- Transactions isolation
- Queries
- Schema visualization
- Performance
- It would be nice to have more performance features
April 26, 2017
Analytic Agility with Aginity
Our business intelligence department all use Aginity to access our RedShift data. Our analyst team uses the tool to generate reports and run analysis on our data warehouse which lives in Amazon RedShift. Our business intelligence engineering team uses Aginity to perform some of the RedShift operational tasks and to validate data within the data warehouse.
- Query auto-completion
- Database exploration including schemas, tables, columns, distribution keys, sort keys, etc.
- Common scenario query samples, and easy access to table DDL
- Table size operational report
- Free community edition
- It would be helpful if the table size report could make it more obvious which tables need to be vacuumed. You can figure it out with the report, but can't just glance down a list.
- Error message windows often auto close before you can read them leaving me hovering my finger over the print screen trying to capture them.
- The auto-complete feature is a bit finicky. Many common scenarios which happen while writing a query by hand such as an unclosed parenthesis can cause the auto-complete not to trigger.
April 26, 2016
Aginity - Flexible GUI, but it has its quirks...
I used Aginity Workbench to build, update, and read from Netezza. Mainly, I used Aginity as a consultant to help build hand written ETL processes for a company I contracted with. In the organization itself, very few people used it aside from a few SQL-savvy business analysts. It is possible more people used it since I complete the contract more than 10 months ago. It really isn't being pushed by the organization, but served more as a portal to building an EDW.
- Cleaner than most GUI's.
- Easy to read.
- Drag in table names instead of writing them.
- Would not sort fields alphabetically!
- Hard to tell when it was running and locked.
- Navigating can be a pain and can be buggy (click one table, and another table is selected).
April 20, 2016
Aginity Workbench, a Data Warehouse Application That Will Help You Bench Your Work to the Max
It is being used by my department, and possibly some other departments, but not across the entire organization. I know Toad is also a popular tool, since Aginity is specific to Netezza, and Netezza is going to be retired in the near future for my department. It addresses the business need for data analysis, by providing a direct interface to our Netezza database, for designing, creating, and executing SQL queries. It allows transparent data viewing and data research.
- Transparent database -> table information. The columns for a specific table/view is listed out within the object browser, and the object browser is easy to navigate, for providing a clear picture of the tables/views, and what it's made up of. Including column data types, data length, and space usage. The object browser follows a collapsible format, breaking down databases by schema names, following with the table/view names, and then the columns specific to that table/view. This in my opinion, is easier than the object browser that Toad provides, where you have to select into a specific table in order to see it's contents and details, rather than being able to compare and have everything on one page.
- The output window is easy for further data extraction, one can simply copy the data out onto an email, into an excel spreadsheet, or other places as necessary. Data could also be exported from the output window, into either excel spreadsheets, or CSV format files, without the need to convert between one or the other. A special area is reserved for dragging column headers into, and what it does is it groups information by that column. This allows flexible user grouping, without the need of writing SQL queries to group on columns. Often times, in my experience, I find the need to group columns on a to-go basis, where I review the data output, and find the need to group on certain columns for further research and analysis, this option allow me to manipulate the result I currently have, without the need to rerun a query for grouping inclusions.
- Able to cascade query windows between different environments. I often need to cascade query windows between an UAT environment, a RESEARCH environment, and a PRODUCTION environment. To be able to cascade between them, and to reference queries and its results, is a huge plus, that I didn't find in some of the other products I've used. This allow me to reference information in between different environments, without the need to connect back and forth.
- For one, I don't like how the parenthesis are automatically created as a set. Often times I only need to type one part of the parenthesis, but it creates a set of ( and ), forcing me to delete them because I didn't need the other half at where my cursor was. Same goes with any other sort of characters, such as ' '. I understand that it's suppose to be smart, but more often than not, it's causing more inconvenience and wasting more time, than actually saving time simply because it types an extra ) or ' for me.
- The error message and the log. I would think there probably is a log somewhere, but the fact that I've been using Aginity for close to a year now, and I still haven't found something similar to a log, is saying something about this feature. A log is like a standard thing nowadays, for running codes, to check against what has happened with the code, and for debugging what you have done wrong within the code. It also contains error messages, and help you troubleshoot with a clearer picture. The error message display current is very small and hard to read, sometimes the error message itself is not as easy to understand either. I use SAS on a daily basis as well, I feel like SAS has done a way better job on this issue, than Aginity.