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Learn MorePros of Amazon DocumentDB
Pros of PostgreSQL
Pros of Amazon DocumentDB
- Storage elasticity0
- Scalable0
- Easy Setup0
Pros of PostgreSQL
- Relational database764
- High availability510
- Enterprise class database439
- Sql383
- Sql + nosql304
- Great community173
- Easy to setup147
- Heroku131
- Secure by default130
- Postgis113
- Supports Key-Value50
- Great JSON support48
- Cross platform34
- Extensible33
- Replication28
- Triggers26
- Multiversion concurrency control23
- Rollback23
- Open source21
- Heroku Add-on18
- Stable, Simple and Good Performance17
- Powerful15
- Lets be serious, what other SQL DB would you go for?13
- Good documentation11
- Scalable9
- Reliable8
- Intelligent optimizer8
- Free8
- Transactional DDL7
- Modern7
- One stop solution for all things sql no matter the os6
- Relational database with MVCC5
- Faster Development5
- Full-Text Search4
- Developer friendly4
- Open-source3
- search3
- Great DB for Transactional system or Application3
- Free version3
- Excellent source code3
- Relational datanbase3
- Text2
- Full-text2
- Can handle up to petabytes worth of size1
- Multiple procedural languages supported1
- Composability1
- Native0
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Cons of Amazon DocumentDB
Cons of PostgreSQL
Cons of Amazon DocumentDB
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Cons of PostgreSQL
- Table/index bloatings10
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What is Amazon DocumentDB?
Amazon DocumentDB is a non-relational database service designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data.
What is 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.
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What companies use Amazon DocumentDB?
What companies use PostgreSQL?
What companies use PostgreSQL?
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What tools integrate with Amazon DocumentDB?
What tools integrate with PostgreSQL?
What tools integrate with Amazon DocumentDB?
What tools integrate with PostgreSQL?
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What are some alternatives to Amazon DocumentDB and PostgreSQL?
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.
MongoDB Atlas
MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Atlas
Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.
Amazon DynamoDB
With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.