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Top Rated
87 Ratings
19 Ratings

Amazon DynamoDB

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Top Rated
87 Ratings
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Score 8.5 out of 101
19 Ratings
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Score 8.9 out of 101

Likelihood to Recommend

Amazon DynamoDB

It is ideal for those projects where you need to store a large amount of data, but you do not know how many will be so you need the database to increase its storage capacity together with the number of users, without having to spend extra money, it also has a great potential thanks to the fast connection it offers, so the data travels at high speed, and this speeds up the performance of the applications, excellent for projects where non-relational databases are used and what matters is to store large quantities of information and use them at high speed.
Winston Mendes profile photo

MarkLogic

If you are storing META data then MarkLogic is super useful as it retrieves everything so fast, while storing the whole data shows performance issues some times. If you have legacy systems then migrating from it would really require sweat and blood, on the other hand if you are in systems like Node.js you can simply integrate two systems easily. If you don't know how in the end your your data schema will look like then it's better to make a prototype using MarkLogic.
Prabhudayal Acharya profile photo

Feature Rating Comparison

NoSQL Databases

Amazon DynamoDB
8.6
MarkLogic
7.9
Performance
Amazon DynamoDB
9.0
MarkLogic
8.5
Availability
Amazon DynamoDB
9.3
MarkLogic
8.0
Concurrency
Amazon DynamoDB
9.0
MarkLogic
7.5
Security
Amazon DynamoDB
9.3
MarkLogic
9.0
Scalability
Amazon DynamoDB
9.5
MarkLogic
8.5
Data model flexibility
Amazon DynamoDB
6.7
MarkLogic
7.0
Deployment model flexibility
Amazon DynamoDB
7.3
MarkLogic
6.5

Pros

Amazon DynamoDB

  • It's very easy to get started, creating a table with a partition/sort key and you're on your way.
  • You can scale up and down your read/write IO as needed.
  • You can store structured and unstructured data.
  • It works great with Web Development as it's JSON based.
Bob Smith profile photo

MarkLogic

  • Search was really advanced. Hard to set up and had limitations about semantical meanings between xml nodes, but provided very good search abilities.
  • The organization of documents across collections and metadata was particularly useful.
  • The REST abilities were very advanced and worked with XQuery well.
Marcus Young profile photo

Cons

Amazon DynamoDB

  • Complex searching (no support for case-insensitive or full-text search).
  • Only supports up to two-key indexes.
  • Requires choosing the indexes up-front when doing searches.
  • Does not have an SQL compatible query front-end.
  • No join-table support (requires putting all data into one table).
Chris Moyer profile photo

MarkLogic

  • MarkLogic still has a long way to go in fostering the developer community. Many developers are gravitating to the simple integrations and do not delve into the deeper capabilities. They have made tremendous strides in recent months and I am sure this will improve over time.
  • Many of the best features are left on the floor by enterprises who end up implementing MarkLogic as a data store. MarkLogic needs to help customers find ways to better leverage their investment and be more creative in how they use the product.
  • Licensing costs become a major hurdle for adoption. The pricing model has improved for basic implementations, but the costs seem very prohibitive for some verticals and for some of the most advanced features.
Harry Bakken profile photo

Likelihood to Renew

Amazon DynamoDB

Amazon DynamoDB 8.8
Based on 28 answers
We will most likely continue to use DynamoDB for certain use-cases. If we stopped using DynamoDB as often, it would likely be because we started using Aurora Serverless more. Aurora Serverless may offer similar availability, management and cost benefits while allowing developers to use their MySQL tools and experience.
No photo available

MarkLogic

MarkLogic 7.0
Based on 7 answers
MarkLogic is expensive but solid. While we use open source for almost everything else, the backend database is too critically important. At this point, re-tooling for a different back end would take too much time to be a viable option.
Daniel Davenport profile photo

Usability

Amazon DynamoDB

No score
No answers yet
No answers on this topic

MarkLogic

MarkLogic 9.0
Based on 1 answer
Very little about it can be done better or with greater ease. Even things that seem difficult aren't really that bad. There's multiple ways to accomplish any admin task. MarkLogic requires a fraction of administrative effort that you see with enterprise RDBMS like Oracle. MarkLogic is continually improving the tools to simplify cluster configuration and maintenance.
Harry Bakken profile photo

Support

Amazon DynamoDB

No score
No answers yet
No answers on this topic

MarkLogic

MarkLogic 9.0
Based on 1 answer
There's always room for improvement. Some problems get solved faster than others, of course. MarkLogic's direct support is very responsive and professional. If they can't help immediately, they always have good feedback and are eager to receive information and details to work to replicate the problem. They are quick to escalate major support issues and production show-stopping problems.In addition to MarkLogic's direct support, there are several employees who are very active among the community and many questions and common issues get quick attention from helpful responses to email and StackOverflow questions.
Harry Bakken profile photo

Alternatives Considered

Amazon DynamoDB

We evaluated using MongoDB or Amazon DyanmoDB. For us, the biggest advantage is that there's no maintenance cost for Amazon DynamoDB. Mongo gets complicated when you setup sharding. With Amazon DynamoDB, it's literally a push of button to increase throughput. This saves time and money on DevOps resources.
No photo available

MarkLogic

We had Fast in place when Microsoft had bought it up and was going to change / deprecate it. One of the biggest advantages of MarkLogic for search actually had to do with the rest of the content pipeline - it allowed us to have it all in one technology. On the NoSQL side, we looked at MongoDB a couple years back. At that time, MarkLogic came in stronger on indexing, transaction reliability, and DR options. For us, that was worth using a commercial product.
Beverly Jamison profile photo

Return on Investment

Amazon DynamoDB

  • Since the Amazon manages the instance, the amount of time a developer needs to spend configuring the database is less. For comparison, if we were to manage the same instance manually, we need to set up EC2 instance, install the DB, setup backup scripts, track backup failures, which is a great overhead for the dev. Using DynamoDB this overhead is reduced and hence having a great ROI.
  • Great documentation and easy setup makes an easy learning curve to transition to DynamoDB. Only caveat is as with any database, the data structure should be thoroughly analyzed for types of querying because there are limitations with the DynamoDB API.
  • Ties very well with rest of the Amazon eco system. Having rest of the applications in Amazon allows managing the application security a breeze.
Anudeep Palanki profile photo

MarkLogic

  • MarkLogic reduced the amount of time that the DevOps team needed to dedicate to database updates, as the engineering team was mostly able to easily design and maintain database upgrades without requiring specialists such as database architects on the DevOps side. This capability flowed from the product's speed and the versatility of its XQuery language and libraries.
  • MarkLogic required significant education and buy-in time for the engineering team.
Richard Winslow profile photo

Pricing Details

Amazon DynamoDB

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

MarkLogic

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

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