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  1. Stackups
  2. Application & Data
  3. Relational Databases
  4. SQL Database As A Service
  5. ClearDB vs DigitalOcean Managed Databases vs TempoDB

ClearDB vs DigitalOcean Managed Databases vs TempoDB

OverviewComparisonAlternatives

Overview

ClearDB
ClearDB
Stacks28
Followers83
Votes28
TempoDB
TempoDB
Stacks4
Followers11
Votes0
DigitalOcean Managed Databases
DigitalOcean Managed Databases
Stacks64
Followers67
Votes0

ClearDB vs DigitalOcean Managed Databases vs TempoDB: What are the differences?

# Introduction

1. **Pricing**: ClearDB offers a free plan with limited resources, while DigitalOcean Managed Databases and TempoDB have more flexible pricing tiers based on usage and resources.
2. **Database Options**: ClearDB provides support for MySQL and Redis databases, while DigitalOcean Managed Databases offers PostgreSQL, MySQL, and Redis databases, and TempoDB specializes in time-series databases.
3. **Scalability**: DigitalOcean Managed Databases and TempoDB provide a more seamless and automated scalability process compared to ClearDB, which may require manual intervention for scaling up.
4. **Data Backup and Recovery**: ClearDB offers regular backups with the ability to restore data, while DigitalOcean Managed Databases and TempoDB provide more advanced backup and recovery features with options for customization.
5. **Security Features**: DigitalOcean Managed Databases and TempoDB offer advanced security features such as encryption at rest and in-transit, role-based access control, and VPC peering, which may be more robust compared to ClearDB's security offerings.
6. **Support and Documentation**: DigitalOcean Managed Databases and TempoDB have extensive documentation and community support, while ClearDB may have limited resources for troubleshooting and assistance.

# Summary
In Summary, ClearDB, DigitalOcean Managed Databases, and TempoDB differ in terms of pricing, supported databases, scalability, backup and recovery features, security offerings, and support resources.

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Detailed Comparison

ClearDB
ClearDB
TempoDB
TempoDB
DigitalOcean Managed Databases
DigitalOcean Managed Databases

ClearDB uses a combination of advanced replication techniques, advanced cluster technology, and layered web services to provide you with a MySQL database that is "smarter" than usual.

TempoDB is the first database service for time series data (ex: measuring thermostat temperatures, network latencies, heart rates). Time series is a unique Big Data problem that breaks traditional databases (MySQL, MongoDB, etc). Today, businesses spend months and millions attempting to build solutions to manage all this data and yet still fail to store as much as they need or analyze it effectively. TempoDB is a purpose-built database service that enables businesses to store and analyze massive streams of time series data, so they can learn from the past, understand the present, and predict the future.

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.

Global Multi-Master Design- ClearDB uses geo-distributed MySQL database configurations for the ultimate in database availability, survivability, and performance. Even if whole cloud regions go offline, your database will stay online.;Completely Fault Tolerant- ClearDB is the only cloud database in the market today that offers true multi-regional read/write mirroring with 100% uptime, even if networks or disks fail.;Native MySQL- Our clusters use native MySQL so that you don't have to worry about re-tuning your applications to work with ClearDB.;Fast, Reliable Support- We have expert database and systems engineers working round the clock to ensure that your database is available, reliable, and secure.;Ultra Secure- We use a combination of 256 bit SSL encryption and client certificates directly in MySQL to secure connections.
Flexible, powerful API;Store as much high resolution (1 ms max) time series data as you need for long range historical analysis;We guarantee data availability and protect against loss by replicating each live datapoint 3x and using geographically distributed backup environments;Our service guarantees constant query times (a big win vs. general-purpose databases);Range rollups & summaries;Series metadata tags & attributes;Visualization interface
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
Statistics
Stacks
28
Stacks
4
Stacks
64
Followers
83
Followers
11
Followers
67
Votes
28
Votes
0
Votes
0
Pros & Cons
Pros
  • 7
    Cloud SQL
  • 6
    Heroku
  • 4
    Fast
  • 3
    Great Backup
  • 3
    Easy to use
No community feedback yet
No community feedback yet
Integrations
Heroku
Heroku
Microsoft Azure
Microsoft Azure
AppFog
AppFog
Heroku
Heroku
No integrations available

What are some alternatives to ClearDB, TempoDB, DigitalOcean Managed Databases?

Amazon RDS

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.

Amazon Aurora

Amazon Aurora

Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.

Google Cloud SQL

Google Cloud SQL

Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

Azure SQL Database

Azure SQL Database

It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.

Cloud DB for Mysql

Cloud DB for Mysql

It is a fully managed cloud cache service that enables you to easily configure a MySQL database with a few settings and clicks and operate it reliably with NAVER's optimization settings, and that automatically recovers from failures.

PlanetScaleDB

PlanetScaleDB

It is a fully managed cloud native database-as-a-service built on Vitess and Kubernetes. A MySQL compatible highly scalable database. Effortlessly deploy, manage, and monitor your databases in multiple regions and across cloud providers.

Azure Database for MySQL

Azure Database for MySQL

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

Books

Books

It is an immutable double-entry accounting database service. It supports many clients and businesses at global scale, leaning on Google Cloud Spanner and Google Kubernetes Engine to make that possible.

Aiven

Aiven

A fully-managed and hosted database as a service (DBaaS) that provides enterprises of every size access to secure and scalable open-source database and messaging services on all major clouds across the globe.

Amazon Aurora Serverless

Amazon Aurora Serverless

It is an on-demand, autoscaling configuration for Amazon Aurora. It automatically starts up, shuts down, and scales capacity up or down based on your application's needs. You can run your database on AWS without managing database capacity.

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