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Coginiti

Score9.3 out of 10

13 Reviews and Ratings

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 data widely available and focusing on outcomes over pre-defined output, everyone is freed up to explore and experiment to answer business questions. By creating and sharing both building blocks and output of analysis, the speed and quality of the decisions improves. By promoting the best work to standard assets, the entire organization learns in an organic manner.

Categories & Use Cases

Aginity is an excellent software, you should try it.

Use Cases and Deployment Scope

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.

Pros

  • Big data analytic, it's able analyze large data warehouse.
  • Very easy to use especially connecting to various database.
  • Productivity tracking.

Cons

  • 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.

Most Important Features

  • Great security and compliance.
  • Data integration.
  • Scalability

Return on Investment

  • Aginity offers great data security safeguarding company's data.
  • Ability to share files hence time saving and enhanced productivity.
  • Faster decisions making because we are Able to access our database in one location.

Alternatives Considered

IBM Watson Knowledge Catalog

Other Software Used

ClusterControl, Talend Data Quality, FreshBooks

My Experience with Aginity at Columbus Crew

Use Cases and Deployment Scope

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.

Pros

  • Accessing data scattered in relational datbases.
  • Creating sophisticated analytics with SQL interface.
  • Reusing and sharing past projects with colleagues.

Cons

  • Aginity do not offer capabilities for large enterprise organizations.

Most Important Features

  • Backend integration capability.
  • Business analytics tools.
  • Reusable data models.

Return on Investment

  • Time saving by integrating data in one solution.
  • No code environment simplifies database management.
  • Data governance safeguard company data.

Alternatives Considered

WPS Analytics

Other Software Used

Asana, FlowyTeam, Acceldata Flow, Slack

My Great Adventure and Experience with Aginity

Use Cases and Deployment Scope

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.

Pros

  • 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.

Cons

  • The vendor hasn't offered enough tutorials inform of documentations and articles for all Aginity features.

Most Important Features

  • Query editor: Help in referencing catalog objects.
  • Collaborative analytics catalog: This tool has enabled me to access and get the right SQL code from others.
  • Database integration is another vital feature that enables us to explore more databases.

Return on Investment

  • Aginity helps us implement the best SQL codes to deploy on our system for free.
  • Aginity helps me save SQL in a catalog that we share with other employees in our organization making it easy to get the best solution and acquire SQL knowledge from them.
  • We also solve business problems rapidly by accessing our databases in one central location.

Alternatives Considered

AdvancedMiner

Other Software Used

IBM Data Center Outsourcing, Oracle Adaptive Access Manager, Microsoft Azure Active Directory, Amazon API Gateway

Aginity for Metadata under control

Use Cases and Deployment Scope

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.

Pros

  • 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

Cons

  • 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

Most Important Features

  • Be able to save and create a lot of different queries in different tabs. Everything is well organized
  • the simplified queries proposed by Aginity are very useful
  • possibily to keep many connection open

Return on Investment

  • The tool helped us to implement all Supply Chain and Retail data into the DWH
  • The tool allowed us to control ETL and reporting access, monitor them, and prioritize user's access
  • If you do not use the tool in the correct way, the risk is to delete some business information

Alternatives Considered

Toad for Oracle and DBeaver

Other Software Used

IBM Netezza Performance Server, Snowflake, Matillion

Aginity - worth what it costs.

Pros

  • Transactions isolation
  • Queries
  • Schema visualization
  • Performance

Cons

  • It would be nice to have more performance features

Most Important Features

  • Running queries
  • Possibility of quick and safe connection to our DW

Return on Investment

  • Since we started using Aginity our productivity in terms of handling our DW increased a lot.
  • All of this productivity made our product even better.

Alternatives Considered

Toad Data Point

Other Software Used

Bitbucket, Toad Data Point, AWS Cloud9, AWS CloudTrail, AWS Auto Scaling