DigitalOcean Managed Databases vs LeanXcale

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DigitalOcean Managed Databases

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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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What is DigitalOcean Managed Databases?

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?

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.

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What companies use DigitalOcean Managed Databases?
What companies use LeanXcale?
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What tools integrate with DigitalOcean Managed Databases?
What tools integrate with LeanXcale?
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    What are some alternatives to DigitalOcean Managed Databases and LeanXcale?
    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.
    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.
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    See all alternatives