Apr 19, 2020
I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following
https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505
MongoDB Enterprise Advanced and SingleStore compete in the database solutions category, with users expressing varying preferences. SingleStore seems to have the upper hand in environments requiring high performance and complex SQL operations, while MongoDB Enterprise Advanced is favored for its scalability and developer-friendly features, especially for document-based applications.
Features: MongoDB Enterprise Advanced is recognized for its NoSQL document storage, offering high scalability and strong community support. It integrates easily with JSON, manages flexible schemas, and boasts robust security with multi-level access control and encryption. SingleStore is highlighted for high concurrency and performance, excelling in complex SQL operations and fast data ingestion, benefiting environments with data-intensive transactions.
Room for Improvement: MongoDB Enterprise Advanced could improve its security frameworks and business intelligence tool integration while simplifying its aggregation framework. Concerns over pricing and complex relational data maintenance, along with desires for better documentation, are noted. SingleStore users seek better initial documentation, enhanced SQL features, and improved data distribution handling, as these can affect performance if not managed well.
Ease of Deployment and Customer Service: MongoDB provides flexible deployment options across cloud and on-premises environments, supported by a strong community and optional enterprise-level support. SingleStore, typically deployed on-premises, matches MongoDB's enterprise support, though its community support is less extensive, with mixed reviews on technical support due to documentation gaps.
Pricing and ROI: MongoDB Enterprise Advanced is competitive with a free community version for cost-effective scaling, but the enterprise offering is expensive despite delivering performance benefits. SingleStore offers cost-effective cloud and on-premises options, though perceptions of high costs exist. Both systems are reported to deliver reasonable ROI, with MongoDB's open-source use providing additional cost advantages.
Actually, with MongoDB, it's difficult to calculate the return on investment; it's too expensive for our use.
I would say we see value in money and return on investment with MongoDB Enterprise Advanced.
The efficiency has increased significantly, and our workflows are consolidated into a single platform, thus reducing the operational overhead we previously faced.
The objective was to scale as data loads with high-performing query model responses.
I have seen a return on investment in terms of time saved.
We have received fairly good support whenever we reached out to the technical teams; they were prompt.
I think they resolved it, but it was very long.
The customer support is very proactive and responsive twenty-four hours per day, seven days per week.
Their team is capable of resolving issues efficiently, allowing users to create tickets and receive support.
I have heard that the support team is responsive and very helpful in addressing and troubleshooting issues.
In CosmoDB, the scalability is much better than with the MongoDB ReplicaSet models.
MongoDB is highly scalable.
Overall, on a scale of one to ten, I would rate MongoDB an eight; it's mostly because we're still running a monolithic environment on old hardware, so there are some limitations with read-write access.
As our data volumes grow, we can expand resources without significant performance degradation.
SingleStore's scalability is high and it can be used by any size of organization and can handle any needs of any organization.
It's pretty much stable; we have not faced any major challenges or difficulties with MongoDB Enterprise Advanced.
It handles large workloads and maintains consistent performance very well overall.
I have not seen any downtime.
While solutions for other databases like SQL or PostgreSQL already exist, MongoDB requires additional integrations for developing AI solutions.
We have not contracted the security options in our contract because they're too expensive; thus, we implement just encrypted databases and not the security pack.
From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.
Error handling needs attention. When it fails due to memory, it only indicates that but not exactly in which process it failed.
The data which is sent to DataDog sometimes does not match with the SingleStore dashboard.
Better documentation for advanced use cases, especially where data volumes are very high and queries are frequent, would help us manage the feature more efficiently.
We use the free version of MongoDB, so there are no licensing costs.
We have to pay approximately 2,000 euros per month for MongoDB.
For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable.
My experience with pricing, setup cost, and licensing is that it can be a bit expensive for startups.
It offers flexibility in schema adaptation, allowing us to change the schema and add new data points.
In ReplicaSet, it's acceptable, but if your workload needs more performance, and you must pass to a Sharding model, it becomes complicated in MongoDB; in Cosmos DB, however, it's simple.
MongoDB has definitely helped us improve our network monitoring and reporting dashboard.
SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone.
The best features SingleStore offers in my experience are the excellent team support and the very good UI.
SingleStore offers speed and scalability, delivering fast query performance even with large datasets and supporting real-time analytics with very low latency.
| Product | Mindshare (%) |
|---|---|
| MongoDB Enterprise Advanced | 13.2% |
| Redis | 8.5% |
| Cassandra | 8.3% |
| Other | 70.0% |
| Product | Mindshare (%) |
|---|---|
| SingleStore | 3.5% |
| MongoDB Atlas | 11.8% |
| Amazon RDS | 11.7% |
| Other | 73.0% |
| Company Size | Count |
|---|---|
| Small Business | 36 |
| Midsize Enterprise | 13 |
| Large Enterprise | 39 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 5 |
MongoDB Enterprise Advanced is a comprehensive platform renowned for its scalability, user-friendliness, and high performance, underpinned by its flexible document-based storage and open-source model. JSON compatibility, clustering, and security elevate its standing among professionals.
The platform facilitates efficient data management through developer-friendly tools and a strong aggregation framework. MongoDB’s no-schema requirement, supported by community expertise, underlines its adaptability. While its sharding capabilities and affordably support large data volumes, there are aspects such as security enhancement and enterprise tool integration that need attention. Indexing and query optimization pose challenges, alongside high costs. Improvements in analytics and UI could advance its infrastructure further.
What are the key features of MongoDB Enterprise Advanced?Industries leverage MongoDB Enterprise Advanced for significant roles in data storage within IoT platforms, healthcare apps, public service monitoring, and big data analytics. Companies in logistics and telecommunications find it instrumental for business process management and video content management, benefiting from its seamless integration and unstructured data support.
SingleStore delivers the performance you need for enterprise AI, providing the most performant data platform for apps and analytics at scale. SingleStore enables organizations to scale from one to one million customers in one unified platform. SingleStore offers transparent pricing as shown here https://www.singlestore.com/pricing/
SingleStore caters to over 400 customers globally, including major banks and tech companies in 50+ countries and 40+ verticals. It offers seamless scaling for both transactional and analytical workloads, simplifying data management with its MySQL compatibility and real-time processing capabilities. SingleStore's distributed architecture ensures speed and reliability, efficiently handling large data volumes.
What are the key features of SingleStore?
What benefits can users find in SingleStore reviews?
Top banks and fintech companies leverage SingleStore for efficient management of financial data, while media and telecom industries use it for scalable metadata management and improved data processing. Retail and eCommerce sectors benefit from enhanced transactional capabilities, reducing the need for separate databases and optimizing reporting processes. SingleStore's capacity to unite diverse workloads makes it a strategic choice across many sectors.
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