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  1. Stackups
  2. Application & Data
  3. Relational Databases
  4. Postgresql As A Service
  5. Database Labs vs ElephantSQL

Database Labs vs ElephantSQL

OverviewComparisonAlternatives

Overview

ElephantSQL
ElephantSQL
Stacks15
Followers86
Votes15
Database Labs
Database Labs
Stacks8
Followers19
Votes2

Database Labs vs ElephantSQL: What are the differences?

# Introduction
Database Labs and ElephantSQL are both cloud-based database as a service (DBaaS) providers that offer managed database solutions. However, there are key differences between the two services that users should consider when choosing a database provider.

1. **Supported Databases**: Database Labs supports a wide range of databases, including PostgreSQL, MySQL, and Redis, while ElephantSQL primarily focuses on PostgreSQL as its supported database. This difference in supported databases may influence users' choice based on their specific database requirements.

2. **Pricing Plans**: Database Labs offers a pay-as-you-go pricing model based on usage, while ElephantSQL provides tiered pricing plans with fixed monthly fees. Users with fluctuating database usage may find Database Labs' pricing model more cost-effective, whereas users with consistent usage patterns may prefer ElephantSQL's fixed pricing plans.

3. **Performance Optimization**: ElephantSQL is known for its focus on optimizing PostgreSQL performance, offering features such as read replicas and automatic failover. In comparison, Database Labs provides a range of performance tuning options for different database types, allowing users to customize performance settings based on their specific needs.

4. **Compliance and Security**: Database Labs offers HIPAA-compliant hosting for healthcare applications and GDPR-compliant data protection, making it suitable for industries with strict compliance requirements. ElephantSQL focuses on ensuring the security and integrity of data stored in PostgreSQL databases, offering features like SSL encryption and backups for data protection.

5. **Scalability Options**: Database Labs provides horizontal scaling options for databases, allowing users to easily add more computing resources as their database needs grow. In contrast, ElephantSQL offers vertical scaling options with larger RAM and storage capacities, limiting scalability to resource upgrades rather than distributed computing.

6. **Support and Documentation**: ElephantSQL offers comprehensive documentation and resources for PostgreSQL users, along with responsive support for troubleshooting and assistance. Database Labs provides support through a ticketing system and a knowledge base with resources for database management, but may have less specialized support for specific database types compared to ElephantSQL.

# Summary
In Summary, Database Labs and ElephantSQL differ in their supported databases, pricing plans, performance optimization, compliance and security features, scalability options, and support offerings, making it essential for users to carefully evaluate these differences based on their specific database needs.

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Detailed Comparison

ElephantSQL
ElephantSQL
Database Labs
Database Labs

ElephantSQL hosts PostgreSQL on Amazon EC2 in multiple regions and availability zones. The servers are continuously transferring the Write-Ahead-Log (the transaction log) to S3 for maximum reliability.

We manage an optimized Postgres image. You focus on your core app, not on becoming a database administrator.

Continuous backup to S3;Automatic failover;24/7 monitoring;Extenstions- HStore, Full Text search, Crypto and many more.;Latest version- ElephantSQL always boosts the latest stable version of PostgreSQL.
Provision in Minutes;Zero Management;Continuous Backups;Point in Time Recovery;Lives in DigitalOcean
Statistics
Stacks
15
Stacks
8
Followers
86
Followers
19
Votes
15
Votes
2
Pros & Cons
Pros
  • 11
    They suck
  • 1
    Easy setup
  • 1
    Easy backup
  • 1
    Geospatial support
  • 1
    Monitoring
Pros
  • 1
    Superb customer service, and ready to go out of the box
  • 1
    Fastest, most effective support desk I've ever seen
Integrations
SoftLayer
SoftLayer
Google Compute Engine
Google Compute Engine
Amazon EC2
Amazon EC2
Heroku
Heroku
AppHarbor
AppHarbor
cloudControl
cloudControl
No integrations available

What are some alternatives to ElephantSQL, Database Labs?

Amazon RDS for PostgreSQL

Amazon RDS for PostgreSQL

Amazon RDS manages complex and time-consuming administrative tasks such as PostgreSQL software installation and upgrades, storage management, replication for high availability and back-ups for disaster recovery. With just a few clicks in the AWS Management Console, you can deploy a PostgreSQL database with automatically configured database parameters for optimal performance. Amazon RDS for PostgreSQL database instances can be provisioned with either standard storage or Provisioned IOPS storage. Once provisioned, you can scale from 10GB to 3TB of storage and from 1,000 IOPS to 30,000 IOPS.

Heroku Postgres

Heroku Postgres

Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.

Google Cloud SQL for PostgreSQL

Google Cloud SQL for PostgreSQL

With Cloud SQL for PostgreSQL, you can spend less time on your database operations and more time on your applications.

Azure Database for PostgreSQL

Azure Database for PostgreSQL

Azure Database for PostgreSQL provides a managed database service for app development and deployment that allows you to stand up a PostgreSQL database in minutes and scale on the fly – on the cloud you trust most.

Neon Database

Neon Database

It is a fully managed serverless PostgreSQL. Neon separates storage and compute to offer modern developer features such as serverless, branching, bottomless storage, and more.

Amazon Aurora PostgreSQL

Amazon Aurora PostgreSQL

It is a fully managed, PostgreSQL–compatible, and ACID–compliant relational database engine that combines the speed, reliability, and manageability of Amazon Aurora with the simplicity and cost-effectiveness of open-source databases.

Crunchy Bridge

Crunchy Bridge

It is a fully-managed database as a service. It takes care of backups, high availability, monitoring. Additionally, it is multi-cloud supporting AWS and Azure and comes with PL/Python3u and PL/R for more powerful work.

Vercel Postgres

Vercel Postgres

It enables you to create scalable, secure PostgreSQL databases. You should use Vercel Postgres if you need to manage customer profiles, user-generated content, financial transaction processing, or other complex data.

PaaS DB PostgreSQL

PaaS DB PostgreSQL

A simple product to get an operational database without any pain about server management, security settings and upgrading. We provide resources to instanciate your database (PostgreSQL 9.4). Our goal is to propose this service with an hourly billing.

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