DigitalOcean's Droplets is designed to help the user spin up a virtual machine in just 55 seconds. Standard, General Purpose, CPU-Optimized, or Memory-Optimized configurations provide flexibility to build, test, and grow an app from startup to scale.
$4
per month
SingleStore
Score 7.8 out of 10
N/A
SingleStore aims to enable organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads in one unified platform.
$0.69
per hour
Pricing
DigitalOcean Droplets
SingleStore
Editions & Modules
Basic
$4
per month
CPU-Optimized
$42
per month
General Purpose
$63
per month
Memory-Optimized
$84
per month
Storage-Optimized
$131
per month
OnDemand
$0.69
per hour
Offerings
Pricing Offerings
DigitalOcean Droplets
SingleStore
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
Pricing for DigitalOcean Droplets varies depending on the size of the virtual environment and the associated data needs.
DigitalOcean Droplets are the best choice for developers teams that need reliable Linux servers to deploy their projects, the ability to create a droplet for testing purposes then destroy it, and only get charged for the few hours used makes the chances of messing up very slim. DigitalOcean Droplets is a great solution because the servers are scalable and the process of adding more resources like CPU or RAM to an existing droplet takes only a few minutes and once a server is scaled up it can also be scaled down if necessary which is perfect for supporting a temporary peak in traffic for example.
Good for Applications needing instant insights on large, streaming datasets. Applications processing continuous data streams with low latency. When a multi-cloud, high-availability database is required When NOT to Use Small-scale applications with limited budgets Projects that do not require real-time analytics or distributed scaling Teams without experience in distributed databases and HTAP architectures.
It does not release a patch to have back porting; it just releases a new version and stops support; it's difficult to keep up to that pace.
Support engineers lack expertise, but they seem to be improving organically.
Lacks enterprise CDC capability: Change data capture (CDC) is a process that tracks and records changes made to data in a database and then delivers those changes to other systems in real time.
For enterprise-level backup & restore capability, we had to implement our model via Velero snapshot backup.
[Until it is] supported on AWS ECS containers, I will reserve a higher rating for SingleStore. Right now it works well on EC2 and serves our current purpose, [but] would look forward to seeing SingleStore respond to our urge of feature in a shorter time period with high quality and security.
Solutions are based around a business needs and even when implementing such solution, real time insights are also followed through showing the updates the business are implementing while informing the end users as what is new with technology.
SingleStore excels in real-time analytics and low-latency transactions, making it ideal for operational analytics and mixed workloads. Snowflake shines in batch analytics and data warehousing with strong scalability for large datasets. SingleStore offers faster data ingestion and query execution for real-time use cases, while Snowflake is better for complex analytical queries on historical data.
The support deep dives into our most complexed queries and bizarre issues that sometimes only we get comparing to other clients. Our special workload (thousands of Kafka pipelines + high concurrency of queries). The response match to the priority of the request, P1 gets immediate return call. Missing features are treated, they become a client request and being added to the roadmap after internal consideration on all client needs and priority. Bugs are patched quite fast, depends on the impact and feasible temporary workarounds. There is no issue that we haven't got a proper answer, resolution or reasoning
We allowed 2-3 months for a thorough evaluation. We saw pretty quickly that we were likely to pick SingleStore, so we ported some of our stored procedures to SingleStore in order to take a deeper look. Two SingleStore people worked closely with us to ensure that we did not have any blocking problems. It all went remarkably smoothly.
DigitalOcean Droplets is continuously evolving to be more and more powerful. It has great features and has low cost options, which is really great for developers. Its CDN, Loadbalancer, etc. make it a good place to host a high-traffic application. Moroever, DigitalOcean Droplets has a nonprofit program that helps nonprofit sites to run their infrastructure, which is tremendous and no competitor of DigitalOcean Droplets does that.
Greenplum is good in handling very large amount of data. Concurrency in Greenplum was a major problem. Features available in SingleStore like Pipelines and in memory features are not available in Greenplum. Gemfire was not scaling well like SingleStore. Support of both Greenplum and Gemfire was not good. Product team did not help us much like the ones in SingleStore who helped us getting started on our first cluster very fast.
As the overall performance and functionality were expanded, we are able to deliver our data much faster than before, which increases the demand for data.
Metadata is available in the platform by default, like metadata on the pipelines. Also, the information schema has lots of metadata, making it easy to load our assets to the data catalog.
