MongoDB vs SQream DB comparison

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MongoDB Logo
8,892 views|6,285 comparisons
91% willing to recommend
SQream Logo
436 views|304 comparisons
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about MongoDB, Couchbase, InfluxData and others in NoSQL Databases.
To learn more, read our detailed NoSQL Databases Report (Updated: May 2024).
772,422 professionals have used our research since 2012.
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
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "We are using the Community Edition of MongoDB."
  • "It is rather expensive."
  • "MongoDB is an open-source solution."
  • "This is an open-source solution."
  • "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."
  • More MongoDB Pricing and Cost Advice →

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    Answers from the Community
    Anonymous User
    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.

    Russell Rothstein - PeerSpot reviewerRussell Rothstein (PeerSpot)
    Vendor

    Morten, the most popular comparisons of SQream can be found here: www.itcentralstation.com
    The top ones include Cassandra, MemSQL, MongoDB, and Vertica.

    Questions from the Community
    Top Answer:MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.
    Top Answer:The product is affordable, but I don't have direct comparisons with other products as I haven't been involved in the billing process.
    Top Answer:Improvements could be made in query optimization, particularly when performing lookups or joining tables. Input functions to restrict the amount of data passed in pipelines would be beneficial for… more »
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    Ranking
    1st
    out of 18 in NoSQL Databases
    Views
    8,892
    Comparisons
    6,285
    Reviews
    27
    Average Words per Review
    362
    Rating
    7.9
    Views
    436
    Comparisons
    304
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    InfluxDB logo
    Compared 29% of the time.
    Couchbase logo
    Compared 18% of the time.
    ScyllaDB logo
    Compared 12% of the time.
    Cassandra logo
    Compared 6% of the time.
    Oracle NoSQL logo
    Compared 5% of the time.
    Learn More
    SQream
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    Overview

    Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit www.mongodb.com.

    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).
    Sample Customers
    Facebook, MetLife, City of Chicago, Expedia, eBay, Google
    Orange Corporate IT
    Top Industries
    REVIEWERS
    Computer Software Company28%
    Financial Services Firm16%
    Legal Firm6%
    Government6%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company14%
    University7%
    Comms Service Provider7%
    VISITORS READING REVIEWS
    Manufacturing Company27%
    Healthcare Company12%
    Computer Software Company12%
    Real Estate/Law Firm7%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise14%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise13%
    Large Enterprise62%
    VISITORS READING REVIEWS
    Small Business30%
    Midsize Enterprise11%
    Large Enterprise59%
    Buyer's Guide
    NoSQL Databases
    May 2024
    Find out what your peers are saying about MongoDB, Couchbase, InfluxData and others in NoSQL Databases. Updated: May 2024.
    772,422 professionals have used our research since 2012.

    MongoDB is ranked 1st in NoSQL Databases with 70 reviews while SQream DB is ranked 27th in Relational Databases Tools. MongoDB is rated 8.2, while SQream DB is rated 0.0. The top reviewer of MongoDB writes "Lightweight with good flexibility and very fast performance for searching data". On the other hand, MongoDB is most compared with InfluxDB, Couchbase, ScyllaDB, Cassandra and Oracle NoSQL, whereas SQream DB is most compared with Oracle Database, Cloudera Distribution for Hadoop 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.