DigitalOcean Managed Databases vs LeanXcale

Overview

DigitalOcean Managed Databases

Stacks64

Followers67

Votes0

LeanXcale

Stacks1

Followers4

Votes0

DigitalOcean Managed Databases vs LeanXcale: What are the differences?

What is DigitalOcean Managed Databases? Fully hosted and managed database engines for your applications, so you can focus on building, not patching. Build apps and store data in minutes with easy access to one or more databases and sleep better knowing your data is backed up and optimized.

What is 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.

DigitalOcean Managed Databases and LeanXcale belong to "SQL Database as a Service" category of the tech stack.

Some of the features offered by DigitalOcean Managed Databases are:

Multi-node database clustering
Automated failover support
Daily backups with Point in Time Recovery (7 days)

On the other hand, LeanXcale provides the following key features:

Rapid data ingestion
Powerful SQL & GIS
Linear scalability

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Detailed Comparison

DigitalOcean Managed Databases	LeanXcale
Build apps and store data in minutes with easy access to one or more databases and sleep better knowing your data is backed up and optimized.	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.
Multi-node database clustering;Automated failover support;Daily backups with Point in Time Recovery (7 days);Horizontal read scaling;Data encrypted on disk and network;Performance graphs (per minute);Multiple logical databases per cluster;Database cluster forks;Connection pooling;One-click upgrades to new versions;Seamless switching of plans and regions;All Regions except AMS2, NYC2, SFO1 and SGP1	Rapid data ingestion; Powerful SQL & GIS ; Linear scalability
Statistics
Stacks 64	Stacks 1
Followers 67	Followers 4
Votes 0	Votes 0
Integrations
No integrations available	.NET Apache Spark Python Kafka Java Linux Windows

What are some alternatives to DigitalOcean Managed Databases, 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.

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.