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Splice Machine

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4 reviews
  • 1 profiles
  • 2 categories
Average star rating
4.6
Serving customers since
2012
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Splice Machine Reviews

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Maria B.
MB
Maria B.
11/25/2025
Validated Reviewer
Review source: Organic

Maximizes Efficiency and Client Outreach

It helps contact clients more efficiently and maximize our resources.
Sumit J.
SJ
Sumit J.
Asst. Manager at KPMG (CSPO®, CSM®, ITIL®4, LSS Yellow Belt, ISTQB) - Delivering IT/web solutions
05/18/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

Splice Machine Review

It's capability to support healthcare domain. Data yransfer in a form (SQL) that is accustomed to working with current systems.
Adithya S.
AS
Adithya S.
Google Certified Data Analyst 📊 | Programmer Analyst Trainee @ Cognizant
05/17/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

Most powerfull machine for data storage. It even integrates with machine learning and AI.

It's one of the best data management machine. They have many products like Machine learning manager, AI manager, data platform etc. All are used respectively to store data in their servers. They are aligned with best system architecture.

About

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HQ Location:
San Francisco, US

Social

@splicemachine

What is Splice Machine?

Splice Machine Inc. is a technology company specializing in the development of hybrid database management systems (DBMS) that combine the functionalities of SQL RDBMS, scale-out NoSQL, and machine learning in one unified platform. This integration allows Splice Machine to offer a system that supports real-time applications, big data analytics, and machine learning capabilities seamlessly.Typically targeted towards businesses aiming to modernize their IT infrastructure and enhance their operational efficiencies, Splice Machine's database platform scales automatically and can run on-premise or in the cloud, making it a versatile choice for enterprises of various sizes and industries. Its hybrid architecture enables companies to process huge volumes of data in real time, which is critical for applications requiring immediate insights and responses, such as in financial services, healthcare, retail, and manufacturing.

Details

Year Founded
2012