MongoDB vs. Teradata Aster Database

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
MongoDB
Score 8.6 out of 10
N/A
MongoDB (from "humongous") is an open source document-oriented database system developed and supported by 10gen. 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. According to the vendor, organizations from cutting…
$0.10
million reads
Teradata Aster Database
Score 8.0 out of 10
N/A
Teradata offers the Aster Database, an analytic database platform.N/A
Pricing
MongoDBTeradata Aster Database
Editions & Modules
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
No answers on this topic
Offerings
Pricing Offerings
MongoDBTeradata Aster Database
Free Trial
YesNo
Free/Freemium Version
YesNo
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
Community Pulse
MongoDBTeradata Aster Database
Top Pros
Top Cons

No answers on this topic

Features
MongoDBTeradata Aster Database
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
MongoDB
9.1
38 Ratings
Teradata Aster Database
-
Ratings
Performance9.138 Ratings00 Ratings
Availability9.538 Ratings00 Ratings
Concurrency8.438 Ratings00 Ratings
Security8.738 Ratings00 Ratings
Scalability9.638 Ratings00 Ratings
Data model flexibility9.038 Ratings00 Ratings
Deployment model flexibility9.237 Ratings00 Ratings
User Ratings
MongoDBTeradata Aster Database
Likelihood to Recommend
9.3
(78 ratings)
7.0
(1 ratings)
Likelihood to Renew
10.0
(67 ratings)
-
(0 ratings)
Usability
9.0
(14 ratings)
-
(0 ratings)
Availability
9.0
(2 ratings)
-
(0 ratings)
Support Rating
9.5
(15 ratings)
-
(0 ratings)
Implementation Rating
8.4
(4 ratings)
-
(0 ratings)
User Testimonials
MongoDBTeradata Aster Database
Likelihood to Recommend
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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Teradata
Teradata Aster Database integrates seamlessly with Hadoop's Big Data Stack and the analytic and visualization power of MapReduce, R, Graph, and SQL enables data scientist to deliver insights and reports and timely manner. However, without pre-existing Hadoop, the deployment of this solution will take more time and possibly will incur additional costs.
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Pros
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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Teradata
  • Excellent performance compared to our legacy system.
  • Superb analytics for multi-structured data sources and types.
  • Multiple analytic engines and compatibility with HDFS are main advantages.
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Cons
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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Teradata
  • Cost is one of the main concerns if deploying the solution from a scratch
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Likelihood to Renew
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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Teradata
No answers on this topic
Usability
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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Teradata
No answers on this topic
Support Rating
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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Teradata
No answers on this topic
Implementation Rating
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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Teradata
No answers on this topic
Alternatives Considered
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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Teradata
Compared to HBase, Teradata Aster Database has stronger analytic and visualization capabilities. The Terada Aster Database also more flexible in term of interoperability with other systems, and another strong aspect of Teradata Aster Databases, compared to its competitors, is its near-linear scalability, centralized streamlined data management and advance workload management platform
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Return on Investment
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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Teradata
  • Teradata Aster Database has a huge impact in analyzing our Big Data to gain insight
  • The interoperability with Hadoop has greatly reduce the deployment time
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