GenieDB vs TempoDB
Overview
🔥 Trending in Relational Databases on StackShare
Set up, operate, and scale a relational database in the cloud.
Detailed Comparison
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. | GenieDB’s DBaaS uses multi-master replication and multi-regional distribution on multiple cloud infrastructures (Amazon AWS, IBM Softlayer, DigitalOcean, Rackspace Cloud, and Google Cloud) to help reduce latency, eliminate downtime, and easily scale your database. |
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-master replication with auto-conflict resolution; Geo-distribution across multiple regions and cloud providers using eventual consistency model with geo-compliance; Auto-recovery and healing with re-synchronization; Data security using industry standard SSL encryption and firewall; Elastic scaling by adding new nodes/clusters or by increasing capacity on existing servers; Rapid database provisioning across multiple cloud providers and regions; Easy MySQL migration that supports MySQL dump |
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Followers 11 | Followers 5 |
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What are some alternatives to TempoDB, GenieDB?
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.
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.
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.
