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Speedment AB

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4.8 out of 5 stars
3 reviews
  • 1 profiles
  • 1 categories
Average star rating
4.8
Serving customers since
2010

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Speedment AB Reviews

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SK
Simran K.
04/11/2024
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Integrate your existing application or create new application works best

|Speedment
This software is very helpful i am a software developer and this is very beneficial for developers as it saves lot of time of mapping and writing basic code of integrating db, the best part is it integrates with existing project as well. It helps is development saves time as well.
Shiv S.
SS
Shiv S.
11/17/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

Speedment - Blazingly fast!

|Speedment
Speedment has helped me quickly build Java applications!
Sumit B.
SB
Sumit B.
Senior Education Consultant at Pearson
12/13/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

Building application with Java base has become super easy with this tool!

|Speedment
Reduced go-to-market time enabled by super smart database java queries, reduced database load times and improved performance (NFR) by removing the bottlenecks through in-memory management feature of speedment. It was very easy for speedment to be integrated with the MySQL DB and also having it run on cloud helped tremendously for our teams based out of remote locations.

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HQ Location:
Palo Alto, US

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What is Speedment AB?

Speedment AB is a technology company that specializes in database optimization and acceleration solutions. Their flagship product, Speedment HyperStream, enhances the performance of SQL databases by transforming traditional database queries into Java streams, allowing for significantly faster data processing and reduced latency. This facilitates real-time analytics and improves application performance for businesses managing large datasets. With a focus on empowering software developers, Speedment AB provides tools that integrate seamlessly with existing database systems to optimize data handling while ensuring scalability and efficiency.

Details

Year Founded
2010