MongoDB vs Scylla comparison

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MongoDB Logo
7,163 views|5,220 comparisons
ScyllaDB Logo
1,202 views|749 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between MongoDB and Scylla based on real PeerSpot user reviews.

Find out what your peers are saying about MongoDB, Cloudera, Apache and others in NoSQL Databases.
To learn more, read our detailed NoSQL Databases Report (Updated: November 2022).
654,658 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
"It has visible benefits, actually, in terms of price of ownership if you compare it to, for example, Oracle.""I value the API integrations.""MongoDB is relatively fast compared to relational databases.""MongoDB is scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person.""The installation is very easy to do and understand.""like its performance and the stability. It's very stable and, performance-wise, it's really great.""The aggregation framework is really good, allowing a developer to build very complex queries.""I like that MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."

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"It is lightweight, and it requires less infrastructure."

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"The performance could be faster.""The stability could be improved.""The solution should have better integration.""The auto transaction feature is something that I found a little bit problematic. If we want to run two or three transactions at a time, we get write conflicts. So, it becomes really difficult when concurrency comes into the picture.""Our program developer finds it to be a little unstable, development-wise.""We'd like information about client onboarding experience and success stories. It would help to have something to show to internal stakeholders.""I suppose it could be a little more secure.""MongoDB should better support small and medium companies. There are a lot of clients out there that are interested, however, they need something lighter and less complex and something not so expensive upfront."

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"Data export, along with how we can purchase the data periodically, needs to be improved so that the storage is within control. Then, we could optimize it even better."

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Pricing and Cost Advice
  • "MongoDB is not expensive."
  • "At the moment, all customers are using the community version."
  • "If you want support with the solution you will need to purchase a license and not use the open-source version. The license is a little expensive."
  • "It's a community edition, so we do not pay anything."
  • "Our customers pay for yearly licenses for MongoDB."
  • "It's open-source."
  • "I believe that MongoDB is free."
  • "MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."
  • More MongoDB Pricing and Cost Advice →

  • "I believe that there is a yearly licensing cost and that it's expensive."
  • More Scylla Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:MongoDB is a very reliable and stable No-SQL engine. It's a document-based database, and use Javascript as its query language: depending on the developer expertise and skills, this could be an… more »
    Top Answer:It is lightweight, and it requires less infrastructure.
    Top Answer:I believe that there is a yearly licensing cost and that it's expensive.
    Top Answer:Data export, along with how we can purchase the data periodically, needs to be improved so that the storage is within control. Then, we could optimize it even better.
    out of 16 in NoSQL Databases
    Average Words per Review
    out of 16 in NoSQL Databases
    Average Words per Review
    Couchbase logo
    Compared 31% of the time.
    InfluxDB logo
    Compared 25% of the time.
    Cassandra logo
    Compared 11% of the time.
    Oracle NoSQL logo
    Compared 8% of the time.
    SingleStore logo
    Compared 2% of the time.
    Cassandra logo
    Compared 36% of the time.
    Apache HBase logo
    Compared 18% of the time.
    Couchbase logo
    Compared 8% of the time.
    Oracle NoSQL logo
    Compared 5% of the time.
    MarkLogic logo
    Compared 4% of the time.
    Learn More

    MongoDB is a popular data management solution with a NoSQL database that enables you to store and process structured and semi-structured data with ease. The solution is scalable and flexible, and is designed to overcome the relational databases approach and the limitations of other NoSQL solutions. In addition, MongoDB stands apart as the cloud database platform of choice for enterprise applications that require real-time analytics.

    MongoDB Features

    MongoDB has many valuable key features. Some of the most useful ones include:

    • Load balancing: MongoDB supports large-scale load balancing via horizontal scaling features like replication and sharding.
    • Ad-hoc queries: With this feature, developers are able to update ad-hoc queries in real time.
    • Sharding: With MongoDB, sharding allows for much greater horizontal scalability, with queries that are directed to the correct shard based on specific shard keys.
    • Indexing: MongoDB allows indexing to be created on demand, accommodating real-time, ever-changing query patterns and application requirements. They can also be declared on any field within any document, including those nested within arrays.
    • Replication: MongoDB’s replication feature enables you to deploy multiple servers for disaster recovery and backup, which helps increase data availability and stability.

    MongoDB Benefits

    There are many benefits to implementing MongoDB. Some of the biggest advantages the solution offers include:

    • Horizontal architecture: Because MongoDB is designed with horizontal architecture, it is easy to scale.
    • Developer-friendly: Being that MongoDB is a document data model with NoSQL, developers are able to work faster. In addition, MongoDB gives developers a number of useful out-of-the-box capabilities, whether you need to run privately on site or in the public cloud.
    • Cloud-based: Because MongoDB is a full cloud-based application data platform, you gain access to a collection of services that can integrate nicely with your database.
    • Powerful analytics: MongoDB is designed to make data easy to access, and also allows you to perform complex analytics and querying.
    • High performance: With MongoDB, information can be embedded inside a single document rather than relying on expensive join operations from traditional relational databases.
    • Easy to install: MongoDB has an intuitive UI, making it easy to install. You can install the community or enterprise version directly on a server, create your own container, or use a pre-built community one.
    • Cost-effective: MongoDB gives you the option to choose an instance size that fits your current needs to help you keep your costs at a minimum.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the MongoDB solution.

    PeerSpot user Deepak K., Managing Director at SimSol Technologies And Services Pvt Ltd., says, “The solution is a very dynamic product. It becomes extremely easy for us to support user requirements and we also make use of the simplicity of a cloud redeployment.” He goes on to add, “The solution is easy to deploy, and the product can scale quite well. The solution's most important aspect is its seamless database. The solution offers excellent documentation.”

    A Senior Associate at a financial services firm mentions, “The most valuable feature of the solution is the ability to easily store documentation regarding structures. We can easily connect to MongoDB and search without transformation, without joining. If we want to use a simple search it's really fast. The initial setup isn't really that complex. The solution is pretty stable overall.”

    Scylla is an open source drop-in replacement for Apache Cassandra with scale-up performance of 1,000,000 IOPS per node, scale-out to hundreds of nodes and 99% latency of < 1msec.  Available as a managed service (Scylla Cloud), on popular cloud providers or on-prem

    Learn more about MongoDB
    Learn more about Scylla
    Sample Customers
    Facebook, MetLife, City of Chicago, Expedia, eBay, Google
    IBM,, mParticle, Comcast, GE, Fanatics, Ola, CERN, adgear, Samsung
    Top Industries
    Financial Services Firm23%
    Computer Software Company23%
    Legal Firm5%
    Energy/Utilities Company5%
    Computer Software Company15%
    Comms Service Provider14%
    Financial Services Firm13%
    Comms Service Provider23%
    Computer Software Company17%
    Media Company9%
    Financial Services Firm8%
    Company Size
    Small Business40%
    Midsize Enterprise15%
    Large Enterprise45%
    Small Business20%
    Midsize Enterprise16%
    Large Enterprise64%
    Small Business23%
    Midsize Enterprise24%
    Large Enterprise53%
    Buyer's Guide
    NoSQL Databases
    November 2022
    Find out what your peers are saying about MongoDB, Cloudera, Apache and others in NoSQL Databases. Updated: November 2022.
    654,658 professionals have used our research since 2012.

    MongoDB is ranked 1st in NoSQL Databases with 35 reviews while Scylla is ranked 8th in NoSQL Databases with 1 review. MongoDB is rated 8.2, while Scylla is rated 7.0. The top reviewer of MongoDB writes "Good pricing and very fast but needs to showcase more use cases". On the other hand, the top reviewer of Scylla writes "Is lightweight and requires less infrastructure, but data export and support need improvement". MongoDB is most compared with Couchbase, InfluxDB, Cassandra, Oracle NoSQL and SingleStore, whereas Scylla is most compared with Cassandra, Apache HBase, Couchbase, Oracle NoSQL and MarkLogic.

    See our list of best NoSQL Databases vendors.

    We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.