Oracle PL/SQL vs Scylla

Overview

ScyllaDB

Stacks143

Followers197

Votes8

Oracle PL/SQL

Stacks748

Followers598

Votes8

Oracle PL/SQL vs Scylla: What are the differences?

Introduction:

Oracle PL/SQL and Scylla are two distinct database technologies that serve different purposes in the realm of data management. Understanding the key differences between these two databases is crucial for making informed decisions about which one best fits specific project requirements.

1. Data Model: Oracle PL/SQL follows a relational data model, where data is stored in tables with rows and columns. On the other hand, Scylla is based on a distributed wide-column store data model inspired by Google's Bigtable, allowing for efficient handling of large amounts of data across multiple nodes in a cluster.

2. Query Language: Oracle PL/SQL uses SQL as its primary query language for interacting with the database. In contrast, Scylla uses CQL (Cassandra Query Language), which is similar to SQL but has some key differences, such as support for denormalized schemas and eventual consistency.

3. Consistency Model: Oracle PL/SQL provides strong consistency guarantees, ensuring that reads always reflect the most recent write. On the other hand, Scylla offers tunable consistency levels, allowing users to choose between strong consistency or eventual consistency based on their specific use case requirements.

4. Scale-Out Architecture: Scylla is designed to scale out horizontally by adding more nodes to a cluster, making it well-suited for handling massive amounts of data and high workloads. In contrast, Oracle PL/SQL traditionally relies on vertical scaling, where more resources are added to a single server, which may lead to limitations in scalability.

5. Distributed Transactions: Oracle PL/SQL supports distributed transactions across multiple databases, ensuring data integrity and consistency in complex transactional scenarios. Scylla, on the other hand, does not natively support distributed transactions, requiring additional mechanisms for managing consistency across multiple nodes.

6. Community and Ecosystem: Oracle PL/SQL is backed by Oracle Corporation, a well-established company with a dedicated community and extensive ecosystem of tools and resources. Scylla, being an open-source project, has a growing community and ecosystem that may not be as extensive as Oracle's, but offers flexibility and collaboration opportunities for developers and users.

In Summary, understanding the key differences between Oracle PL/SQL and Scylla is essential for determining which database technology aligns best with specific project requirements and constraints.

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Advice on ScyllaDB, Oracle PL/SQL

Tom

CEO at Gentlent

Jun 9, 2020

Decided

The Gentlent Tech Team made lots of updates within the past year. The biggest one being our database:

We decided to migrate our #PostgreSQL -based database systems to a custom implementation of #Cassandra . This allows us to integrate our product data perfectly in a system that just makes sense. High availability and scalability are supported out of the box.

387k views387k

Comments

Vinay

Head of Engineering

Sep 19, 2019

Needs advice

The problem I have is - we need to process & change(update/insert) 55M Data every 2 min and this updated data to be available for Rest API for Filtering / Selection. Response time for Rest API should be less than 1 sec.

The most important factors for me are processing and storing time of 2 min. There need to be 2 views of Data One is for Selection & 2. Changed data.

174k views174k

Comments

Detailed Comparison

ScyllaDB	Oracle PL/SQL
ScyllaDB is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the ever-increasing computing power of modern infrastructures – eliminating barriers to scale as data grows.	It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.
High availability; horizontal scalability; vertical scalability; Cassandra compatible; DynamoDB compatible; wide column; NoSQL; lightweight transactions; change data capture; workload prioritization; shard-per-core; IO scheduler; self-tuning	-
Statistics
Stacks 143	Stacks 748
Followers 197	Followers 598
Votes 8	Votes 8
Pros & Cons
Pros 2 Replication 1 High performance 1 Written in C++ 1 High availability 1 Scale up	Pros 2 Multiple ways to accomplish the same end 2 Powerful 1 Pl/sql 1 Extensible to external langiages 1 Massive, continuous investment by Oracle Corp Cons 2 High commercial license cost
Integrations
KairosDB Wireshark JanusGraph Grafana Hackolade Prometheus Kubernetes Datadog Kafka Apache Spark	Python PHP .NET Node.js Oracle Hadoop Java

What are some alternatives to ScyllaDB, Oracle PL/SQL?

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

GraphQL

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

Related Comparisons

Oracle PL/SQL vs Scylla: What are the differences?

Introduction:

In Summary, understanding the key differences between Oracle PL/SQL and Scylla is essential for determining which database technology aligns best with specific project requirements and constraints.

Oracle PL/SQL vs Scylla

Overview