Dancing Numbers is a platform that aims to make importing, exporting, and deleting the data in QuickBooks account easier. Dancing Numbers also offers pro advisors who are present 365 days.
$199
per year per user
MongoDB
Score8.8 out of 10
N/A
MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.
$0.10
million reads
Pricing
Dancing Numbers
MongoDB
Editions & Modules
Importer, Exporter, and Deleter
$199
per year per user
Importer, Exporter, and Deleter
$199
per year per user
Accountant Basic
$499
per year Unlimited
Accountant Basic
$499
per year Unlimited
Accountant Pro
$899
per year Unlimited
Accountant Pro
$899
per year Unlimited
Accountant Premium
$1,999
per year Unlimited
Accountant Premium
$1,999
per year Unlimited
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
Offerings
Pricing Offerings
Dancing Numbers
MongoDB
Free Trial
Yes
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
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Fully managed, global cloud database on AWS, Azure, and GCP
Dancing Numbers is ideal for small to medium-sized businesses needing an easy-to-use, cost-effective accounting solution, particularly during transitions from manual bookkeeping or other software. It’s especially useful for firms with basic accounting needs or limited expertise, offering automation for routine tasks. However, it may not be suitable for large enterprises with complex financial operations, businesses requiring advanced customization, or those in highly regulated industries. It also might fall short for companies with extensive international operations or high transaction volumes.
If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
An aggregate pipeline can be a bit overwhelming as a newcomer.
There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I’ve been using Dancing Numbers for a few months now, and overall, it’s been a great experience. The platform is user-friendly and intuitive, making it relatively easy to navigate even for someone with a moderate level of accounting knowledge. The automated data entry and reconciliation features are particularly helpful, saving us a significant amount of time and reducing manual errors.The integration with various accounting systems is a big plus, allowing us to seamlessly connect with our existing tools. Customer support has been responsive and helpful whenever we’ve had questions or needed assistance.However, there are a few areas where Dancing Numbers could improve. While the core functionalities are strong, some advanced features feel a bit limited compared to competitors. Additionally, the pricing structure could be more flexible to accommodate different business sizes and needs.Overall, Dancing Numbers is a solid choice for businesses looking to streamline their accounting processes with a reliable tool, though there’s room for enhancement in certain areas.
NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
