1010data vs. MongoDB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
1010data
Score 7.6 out of 10
N/A
N/AN/A
MongoDB
Score 8.2 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
1010dataMongoDB
Editions & Modules
No answers on this topic
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
Offerings
Pricing Offerings
1010dataMongoDB
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP
More Pricing Information
Features
1010dataMongoDB
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
1010data
-
Ratings
MongoDB
9.1
38 Ratings
4% above category average
Performance00 Ratings9.038 Ratings
Availability00 Ratings9.738 Ratings
Concurrency00 Ratings8.638 Ratings
Security00 Ratings8.638 Ratings
Scalability00 Ratings9.438 Ratings
Data model flexibility00 Ratings9.138 Ratings
Deployment model flexibility00 Ratings9.137 Ratings
Best Alternatives
1010dataMongoDB
Small Businesses
Google BigQuery
Google BigQuery
Score 8.7 out of 10
IBM Cloudant
IBM Cloudant
Score 7.8 out of 10
Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
IBM Cloudant
IBM Cloudant
Score 7.8 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 8.5 out of 10
IBM Cloudant
IBM Cloudant
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
1010dataMongoDB
Likelihood to Recommend
10.0
(2 ratings)
9.4
(78 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(67 ratings)
Usability
8.0
(1 ratings)
9.0
(14 ratings)
Availability
-
(0 ratings)
9.0
(1 ratings)
Support Rating
-
(0 ratings)
9.6
(13 ratings)
Implementation Rating
-
(0 ratings)
8.4
(2 ratings)
User Testimonials
1010dataMongoDB
Likelihood to Recommend
1010data
The software is excellent for any application which is too large for Excel. The visual interface surpasses that of most SQL platforms. It is quite useful for data mining in an exploratory way but less useful in statistical and regression analysis.
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MongoDB
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.
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Pros
1010data
  • To "pool" their data for market analysis
  • Very large data analysis
  • Performance and scalability
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MongoDB
  • 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.
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Cons
1010data
  • The ten.do interface could use more detailed documentation
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MongoDB
  • 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.
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Likelihood to Renew
1010data
No answers on this topic
MongoDB
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.
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Usability
1010data
That's votes by our team.
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MongoDB
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.
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Support Rating
1010data
No answers on this topic
MongoDB
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.
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Implementation Rating
1010data
No answers on this topic
MongoDB
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.
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Alternatives Considered
1010data
While we have used SQL, 1010data is really the only industry standard product available for our use.
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MongoDB
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.
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Return on Investment
1010data
  • Positive impact on help business make a data-drive decision
  • Positive impact on big data analysis
  • Negative impact on user friendly
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MongoDB
  • 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
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ScreenShots

MongoDB Screenshots

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