Compare IBM solidDB vs. Kinetica

IBM solidDB is ranked 28th in Relational Databases while Kinetica is ranked 31st in Relational Databases. IBM solidDB is rated 0, while Kinetica is rated 0. On the other hand, IBM solidDB is most compared with SQL Server, MySQL and IBM Db2 Database, whereas Kinetica is most compared with OmniSci and SQream DB.
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IBM solidDB Logo
489 views|297 comparisons
Kinetica Logo
78 views|62 comparisons
Ranking
28th
Views
489
Comparisons
297
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
31st
Views
78
Comparisons
62
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about Microsoft, Oracle, IBM and others in Relational Databases. Updated: May 2020.
420,062 professionals have used our research since 2012.
Top Comparisons
Compared 35% of the time.
Compared 31% of the time.
Compared 17% of the time.
Compared 68% of the time.
Compared 32% of the time.
Also Known As
solidDB
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Overview

IBM solidDB is a relational database server that combines the high performance of in-memory tables with the nearly unlimited capacity of disk-based tables.

Pure in-memory databases are fast, but strictly limited by the size of memory. Pure disk-based databases allow nearly unlimited amounts of storage, but their performance is dominated by disk access. Even if the computer has enough memory to store the entire database in memory buffers, database servers that are designed for disk-based tables can be slow because the data structures that are optimal for disk-based tables are far from being optimal for in-memory tables. The solidDB solution is to provide a single hybrid database server that contains two optimized engines inside it:

  • The main-memory engine (MME) is optimized for in-memory access.
  • The disk-based engine (DBE) is optimized for disk-based access.

Both engines coexist inside the same server process, and a single SQL statement can access data from both engines.

Kinetica is the active analytics leader in the Extreme Data Economy. The Kinetica Active Analytics Platform combines streaming and historical data with location intelligence and machine learning-powered analytics. Organizations across automotive, energy, telecommunications, retail, and financial services, leverage the platform’s GPU-accelerated computing power to build custom analytical applications for real-time insight.

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Find out what your peers are saying about Microsoft, Oracle, IBM and others in Relational Databases. Updated: May 2020.
420,062 professionals have used our research since 2012.
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