Finding one-to-one mapping of the differences between monolithic and cloud-native databases is difficult.
In this blog, we compare YugabyteDB and Oracle (RAC, Data Guard) via availability objectives.
This should help you understand how Oracle MAA options map to YugabyteDB’s intrinsic features when considering migration projects.
Explore how database sharding works, how to handle corner cases correctly, and how to split tablets to save resources.
YugabyteDB is a 100% open source, distributed SQL database system. This single phrase expresses two distinct notions: a SQL database system, and a distributed database system. Historically, these notions were mutually exclusive. But current technology allows a single system to implement both notions. YugabyteDB does this with its two-layer architecture: an extensible query processing layer and a distributed document store.
In this blog post, we explain how YugabyteDB’s two-layer architecture works and compare it against other popular databases.
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In 2019, I gave a presentation with the title, “19 features you will miss if you leave Oracle.” The talk focused on features used every day with Oracle—and those that may not be available in other databases. However, the goal of this presentation was not to influence any decision or outcome.
Migrating from a commercial database is not about covering a full set of features. It’s a strategy to stay in control of the software that processes and stores enterprise data.
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As Amazon CTO Werner Vogels often reminds us: ”Everything fails, all the time”. This means any component of the infrastructure will fail at some point. However, with more and more software being deployed in the cloud, today’s infrastructure must provide redundancy. In addition, the applications that sit on top of it must provide continuity over failures.
This involves database replication when the failure concerns data in motion. But there are different levels of failures and different protection technologies.
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A distributed SQL database provides a service where you can query the global database without knowing where the rows are. You connect to any node, without having to know the cluster topology. You query your tables, and the database will determine the best access to your data, whether it’s close to your client or geographically distant.
The organization of data, whether co-located or partitioned, is the most important consideration for high performance,
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A distributed SQL database reads from remote nodes, which increases the need for optimal data access. From my 20 years of experience as a database consultant, here is the most overlooked optimization technique for any database that supports it: performance-critical queries should find their columns from the index structure, without making extra hops to the table.
Many myths against SQL, such as “joins don’t scale” or “analytic queries need a separate column store”,
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We have documented how to install YugabyteDB on the main cloud providers (https://docs.yugabyte.com/latest/deploy/public-clouds). And when I joined Yugabyte, many friends from the oracle community asked me about the Oracle Cloud (OCI).
In the Oracle Cloud there are 2 ways to run containers:
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YugabyteDB is PostgreSQL compatible. It uses the same protocol and SQL layer as PostgreSQL. This makes YugabyteDB compatible with a majority of database tools, because PostgreSQL is the most popular open source database on the planet. Here is an example with Arctype, a user-friendly collaborative SQL client to query and visualize data.
1. I went to https://arctype.com/ and downloaded the client for Windows.
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