Compare Amazon Aurora vs. IBM solidDB

Amazon Aurora is ranked 33rd in Relational Databases while IBM solidDB is ranked 28th in Relational Databases. Amazon Aurora is rated 0, while IBM solidDB is rated 0. On the other hand, Amazon Aurora is most compared with , whereas IBM solidDB is most compared with SQL Server, MySQL and IBM Db2 Database.
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Amazon Aurora Logo
18 views|14 comparisons
IBM solidDB Logo
494 views|301 comparisons
Ranking
33rd
Views
18
Comparisons
14
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
28th
Views
494
Comparisons
301
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.
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Top Comparisons
Compared 37% of the time.
Compared 32% of the time.
Compared 17% of the time.
Also Known As
solidDB
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Overview

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.

Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.

Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).

Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.

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.

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Sample Customers
Dow Jones, Arizona State University, Verizon, Capital One, United Nations, Nielsen, Autodesk, FanduelIskratel
Find out what your peers are saying about Microsoft, Oracle, IBM and others in Relational Databases. Updated: May 2020.
418,901 professionals have used our research since 2012.
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