Oracle PL/SQL vs LeanXcale | What are the differences? | StackShare

LeanXcale vs Oracle PL/SQL

Overview

Oracle PL/SQL

Stacks748

Followers598

Votes8

LeanXcale

Stacks1

Followers4

Votes0

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

Oracle PL/SQL: It is a combination of SQL along with the procedural features of programming languages. 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; LeanXcale: A scalable SQL database with fast NoSQL data ingestion and GIS capabilities. It is a scalable SQL database with fast NoSQL data ingestion and GIS capabilities. It simplifies your architecture thanks to its combination of SQL and NoSQL capabilities. Move faster from customer needs detection to production avoiding complex architectures such as lambda. Development is made easy using the SQL API.

Oracle PL/SQL can be classified as a tool in the "Query Languages" category, while LeanXcale is grouped under "SQL Database as a Service".

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Detailed Comparison

Oracle PL/SQL	LeanXcale
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.	It is a scalable SQL database with fast NoSQL data ingestion and GIS capabilities. It simplifies your architecture thanks to its combination of SQL and NoSQL capabilities. Move faster from customer needs detection to production avoiding complex architectures such as lambda. Development is made easy using the SQL API.
-	Rapid data ingestion; Powerful SQL & GIS ; Linear scalability
Statistics
Stacks 748	Stacks 1
Followers 598	Followers 4
Votes 8	Votes 0
Pros & Cons
Pros 2 Multiple ways to accomplish the same end 2 Powerful 1 Pl/sql 1 Massive, continuous investment by Oracle Corp 1 Extensible to external langiages Cons 2 High commercial license cost	No community feedback yet
Integrations
Python PHP .NET Node.js Oracle Hadoop Java	.NET Apache Spark Python Kafka Java Linux Windows

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

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.

Amazon RDS

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

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.