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MongoDB vs SQream DB comparison

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MongoDB Logo
5,668 views|4,283 comparisons
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734 views|575 comparisons
Q&A Highlights
Question: Which is the best RDMBS solution for big data?
Answer: I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505
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NoSQL Databases
July 2022
Find out what your peers are saying about MongoDB, Cloudera, Apache and others in NoSQL Databases. Updated: July 2022.
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Pricing and Cost Advice
  • "We use the open-source version, which is available to use free of charge."
  • "I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."
  • "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."
  • More MongoDB Pricing and Cost Advice →

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    Answers from the Community
    Morten Calisch
    Yuval Klein - PeerSpot reviewerYuval Klein
    Real User

    SQreamDB is a GPU DB. It is not suitable for real-time oltp of course.

    Cassandra is best suited for OLTP database use cases, when you need a scalable database (instead of SQL server, Postgres)
    SQream is a GPU database suited for OLAP purposes. It's the best suite for a very large data warehouse, very large queries needed mass parallel activity since GPU is great in massive parallel workload.

    Also, SQream is quite cheap since we need only one server with a GPU card, the best GPU card the better since we will have more CPU activity. It's only for a very big data warehouse, not for small ones.

    Tristan Bergh - PeerSpot reviewerTristan Bergh
    Real User

    Your best DB for 40+ TB is Apache Spark, Drill and the Hadoop stack, in the cloud.

    Use the public cloud provider's elastic store (S3, Azure BLOB, google drive) and then stand up Apache Spark on a cluster sized to run your queries within 20 minutes. Based on my experience (Azure BLOB store, Databricks, PySpark) you may need around 500 32GB nodes for reading 40 TB of data.

    Costs can be contained by running your own clusters but Databricks manage clusters for you.

    I would recommend optimizing your 40TB data store into the Databricks delta format after an initial parse.

    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 has visible benefits, actually, in terms of price of ownership if you compare it to, for example, Oracle.
    Top Answer:MongoDB is a free solution. We wanted to have high availability and the subscription cost was quite expensive because the basic one is free and then when you want to have some other replications or… more »
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    Ranking
    1st
    out of 16 in NoSQL Databases
    Views
    5,668
    Comparisons
    4,283
    Reviews
    32
    Average Words per Review
    395
    Rating
    8.2
    Views
    734
    Comparisons
    575
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Couchbase logo
    Compared 28% of the time.
    InfluxDB logo
    Compared 26% of the time.
    Cassandra logo
    Compared 14% of the time.
    Oracle NoSQL logo
    Compared 9% of the time.
    Neo4j logo
    Compared 3% of the time.
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    SQream Technologies
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    Overview

    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.”

    SQream DB is a relational database management systems (RDBMS) that uses graphics processing units(GPUs) from Nvidia. SQream DB is designed for big data analytics using the Structured Query Language (SQL).
    Offer
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    Facebook, MetLife, City of Chicago, Expedia, eBay, Google
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    REVIEWERS
    Financial Services Firm24%
    Computer Software Company24%
    Legal Firm5%
    Energy/Utilities Company5%
    VISITORS READING REVIEWS
    Comms Service Provider24%
    Computer Software Company18%
    Financial Services Firm10%
    Government7%
    VISITORS READING REVIEWS
    Comms Service Provider41%
    Computer Software Company16%
    Financial Services Firm10%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business38%
    Midsize Enterprise17%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise18%
    Large Enterprise63%
    VISITORS READING REVIEWS
    Small Business28%
    Midsize Enterprise25%
    Large Enterprise47%
    Buyer's Guide
    NoSQL Databases
    July 2022
    Find out what your peers are saying about MongoDB, Cloudera, Apache and others in NoSQL Databases. Updated: July 2022.
    621,548 professionals have used our research since 2012.

    MongoDB is ranked 1st in NoSQL Databases with 34 reviews while SQream DB is ranked 24th in Relational Databases Tools. MongoDB is rated 8.2, while SQream DB is rated 0.0. The top reviewer of MongoDB writes "Good pricing and very fast but needs to showcase more use cases". On the other hand, MongoDB is most compared with Couchbase, InfluxDB, Cassandra, Oracle NoSQL and Neo4j, whereas SQream DB is most compared with Teradata, Kinetica, Cloudera Distribution for Hadoop, OmniSci and SQL Server.

    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.