DigitalOcean Managed Databases vs TempoDB

Overview

TempoDB

Stacks4

Followers11

Votes0

DigitalOcean Managed Databases

Stacks64

Followers67

Votes0

DigitalOcean Managed Databases vs TempoDB: What are the differences?

Deployment Process: DigitalOcean Managed Databases offers a simplified deployment process compared to TempoDB, allowing users to quickly set up and manage their databases without the need for extensive configurations.
Scalability: While DigitalOcean Managed Databases provide easy scalability options for users to adjust resources as needed, TempoDB offers more advanced scalability features such as automatic sharding for handling larger datasets.
Monitoring and Alerts: DigitalOcean Managed Databases offer basic monitoring and alert features to keep track of database performance, while TempoDB provides more advanced monitoring tools and customizable alerting capabilities for precise resource management.
Data Retention Policies: TempoDB allows users to define specific data retention policies to automatically manage and store data, while DigitalOcean Managed Databases might have limitations when it comes to customizing these policies.
Data Storage: DigitalOcean Managed Databases are designed for a wide range of database systems such as MySQL, PostgreSQL, and Redis, offering diverse storage options, while TempoDB specializes in time-series databases, optimizing storage for timestamped data points.
Cost Structure: The cost structure of DigitalOcean Managed Databases is based on resource usage and storage, whereas TempoDB may have a pricing model that focuses more on data ingestion rates and API calls.

In Summary, DigitalOcean Managed Databases and TempoDB differ in deployment process, scalability, monitoring features, data retention policies, storage specialization, and cost structure.

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Detailed Comparison

TempoDB	DigitalOcean Managed Databases
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.
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 4	Stacks 64
Followers 11	Followers 67
Votes 0	Votes 0
Integrations
Heroku	No integrations available

What are some alternatives to TempoDB, DigitalOcean Managed Databases?

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 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

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

ClearDB

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.

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

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

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 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

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

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.

Related Comparisons

DigitalOcean Managed Databases vs TempoDB: What are the differences?

Deployment Process: DigitalOcean Managed Databases offers a simplified deployment process compared to TempoDB, allowing users to quickly set up and manage their databases without the need for extensive configurations.
Scalability: While DigitalOcean Managed Databases provide easy scalability options for users to adjust resources as needed, TempoDB offers more advanced scalability features such as automatic sharding for handling larger datasets.
Monitoring and Alerts: DigitalOcean Managed Databases offer basic monitoring and alert features to keep track of database performance, while TempoDB provides more advanced monitoring tools and customizable alerting capabilities for precise resource management.
Data Retention Policies: TempoDB allows users to define specific data retention policies to automatically manage and store data, while DigitalOcean Managed Databases might have limitations when it comes to customizing these policies.
Data Storage: DigitalOcean Managed Databases are designed for a wide range of database systems such as MySQL, PostgreSQL, and Redis, offering diverse storage options, while TempoDB specializes in time-series databases, optimizing storage for timestamped data points.
Cost Structure: The cost structure of DigitalOcean Managed Databases is based on resource usage and storage, whereas TempoDB may have a pricing model that focuses more on data ingestion rates and API calls.

In Summary, DigitalOcean Managed Databases and TempoDB differ in deployment process, scalability, monitoring features, data retention policies, storage specialization, and cost structure.

DigitalOcean Managed Databases vs TempoDB

Overview