OtterTune

About

OtterTune is a database tuning tool that optimizes performance and reduces costs for PostgreSQL and MySQL databases.

Website Rank
1.24M

Category Rank
(Computers_Elect…) 6.8K

Country Rank
(US) 403K

Website Traffic
31.8K

Monthly Visits Trend

Top Traffic Countries

Top Traffic Sources

Recent Reviews
8

Company Size
11 - 50

Employees On Linkedin
20

Twitter Followers
2.33K

Twitter Likes
909

Twitter Posts
622

Facebook Followers
-

Facebook Likes
-

Summary

OtterTune uses AI to optimize your Amazon RDS and Aurora database performance and reduces AWS costs.

Features

Powerful recommendations for optimizing databases

Health scores for monitoring the performance of databases

Tuning modes and schedules for implementing recommendations

Customizable target objectives for optimizing databases

Customizable charts and reports for visualizing database metrics

Provides guidance and recommendations for improving database performance and efficiency

Saves time by automating the optimization process

Increases performance and reduces AWS costs

Supports PostgreSQL and MySQL on Amazon RDS and Aurora

Use Cases

Optimizing database performance and efficiency

Reducing AWS costs

Automating the database optimization process

Monitoring the health and performance of databases

Visualizing and analyzing database metrics

Pricing

Standard

$550

Monthly

Standard

$550

Yearly

Recent Reviews (8)

OtterTuneAI

2023-10-21

RT by @TheRockstarDBA: Optimizing slow Postgres queries can improve performance and reduce costs, but how do you find those queries and what can you do to fix them? @sendtoshailesh goes over using the slow query log, auto_explain and pg_stat_statements. https://medium.com/@shaileshkumarmishra/find-slow-queries-in-postgresql-42dddafc8a0e

AndrewPadilla1

2023-10-21

R to @davidgasquez: sql 2023 standard includes support for property graph queries . see @OtterTuneAI posts for more info about a presumed convergence ( subsumption?) of sql and graph .

OtterTuneAI

2023-10-20

RT by @XanthakisGeorge: Just what is a vector database? Who are the players and what vector extensions exist? If you're considering a vector database, what requirements and expectations should you have? @chbussler's excellent article goes over these questions and more. https://medium.com/google-cloud/vector-databases-are-all-the-rage-872c888fa348

OtterTuneAI

2023-10-20

RT by @priyank76064158: .@OtterTuneAI gives you the flexibility to create as many tuning schedules as you want for your databases. @andy_pavlo explains why that’s so important.

OtterTuneAI

2023-10-19

RT by @kinddevilly: "The intellectual distance between a relational database system and NoSQL has shrunk quite a bit." @OtterTuneAI's @andy_pavlo talks about how NoSQL compares to relational databases and pros and cons of each. To get your question answered, submit one here: https://forms.gle/B3LXATpHvjK4gYy37.

OtterTuneAI

2023-10-10

RT by @FranRam09552040: Spending more on your Postgres or MySQL databases on Amazon does not mean better performance. Learn why and how @OtterTuneAI can help.

OtterTuneAI

2023-10-06

RT by @YanielSant41212: 🦦 @OtterTuneAI provides the recommendations you need to optimize your databases. Take a tour and see how we surface recommendations for knobs, indexes, queries and more. 🔥

OtterTuneAI

2023-10-06

RT by @FranRam09552040: While @OtterTuneAI supports multiple target objectives for database optimization, it defaults to P99 query latency. Our CEO and Co-Founder, @andy_pavlo, explains why that is.

About

Summary

Features

Use Cases

Pricing

Standard

Standard

Recent Reviews (8)

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