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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Kognitio (discontinued)

    Score9 out of 10
    N/AKognitio offered scale-out, in-memory software for big data analytics, aiming to to provide an ultra-fast, high concurrency SQL layer that allows modern data visualization tools to maintain interactive performance, even when the data volume is large and the user count high. Kognitio is obsolete, and no longer available for sale.N/A

    MongoDB

    Score8.8 out of 10
    N/AMongoDB is an open source document-oriented database system. 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.

    $0.10

    million reads

    MySQL

    Score8.4 out of 10
    N/AMySQL is a popular open-source relational and embedded database, now owned by Oracle.N/A
    Pricing
    Kognitio (discontinued)MongoDBMySQL
    Editions & Modules
    No answers on this topic
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    No answers on this topic
    Offerings
    Pricing Offerings
    Kognitio (discontinued)MongoDBMySQL
    Free Trial
    NoYesNo
    Free/Freemium Version
    NoYesNo
    Premium Consulting/Integration Services
    NoNoNo
    Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
    Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP
    More Pricing Information
    Community Pulse
    Kognitio (discontinued)MongoDBMySQL
    Considered Multiple Products
    Kognitio
    No answer on this topic
    MongoDB
    Chose MongoDB
    The environment I work in is somewhat unique in that we use both MySQL and MongoDB. However, each is used for specific purposes that the other is not well suited for. MongoDB is not a relational database like MySQL, so it serves as the perfect place to dump key bits of data for …
    Incentivized
    Chose MongoDB
    In our early development days we weighed NoSQL databases like MongoDB with RDBMS solutions like MySQL. We were more familiar with MySQL from past experience but also were wary of painful data migrations that slowed down development iterations and increased the risk of outages …
    Incentivized
    Chose MongoDB
    MongoDB is the best NoSQL database out there. There are others, but Mongo has the largest community, is very easy to set up, and is extremely performant. Compared to a relational DB (like MySQL or Postgres) is like comparing apples and oranges. One isn't better or worse than …
    Incentivized
    Chose MongoDB
    I love MySQL, but again, it's a totally different use-case. For something with so much varied data in no particular form or structure that needs to be pooled together in a "data lake," a NoSQL solution like MongoDB is an easy choice. It makes it so much easier not having to …
    Incentivized
    Chose MongoDB
    MySQL is a great for querying related data, but it's unable to store structured data and has a fixed schema. Also SQL can be non-intuitive. DynamoDB, CouchDB and Redis all make querying the data quite difficult and lack important features. The problem CouchDB tries to solve is …
    Incentivized
    Chose MongoDB
    I have used KairosDB, Cassandra and MySQL and mongodb proves out to be the best of them. Mainly due to it being a document-oriented database.
    Incentivized
    Chose 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 …
    Incentivized
    Chose MongoDB
    The flexible structure underlying MongoDB's construction is not found in other competitors; the ability to easily change the structure without affecting other stored documents. It is very ideal for projects that you cannot predict that the structure will change this way. Of …
    Incentivized
    Chose MongoDB
    MongoDB is more of a general purpose nosql database, while Elasticsearch is a search engine oriented nosql solution.
    Percona Server for MongoDB is a more suitable solution for the enterprise field.
    Incentivized
    Chose MongoDB
    MongoDB is the most reliable and fastest for storing document-based data. It has a place among the most popular DB's these days.
    Incentivized
    Chose MongoDB
    It's very fast and easiest to use. Many companies are using this nowadays. It's helped to complete many software products very quickly so the year income has increased compared with last years. Many programmers are now leaning this tool as back end developers so that we changed …
    Incentivized
    Chose MongoDB
    MongoDB is our go-to database solution for any project, and the more we work with it the more we love it. Some say that NoSQL is pointless... Our developers wholeheartedly disagree, because they love working with it. Though both NoSQL and SQL have their purposes, in most …
    Incentivized
    Chose MongoDB
    We tend to choose MongoDB when we're faced with a particular situation: we know that we need a NoSQL database in general, and want an open-source implementation that allows us to prevent against platform lock-in. Amazon's new DocumentDB product even allows us to choose to use …
    Incentivized
    Chose MongoDB
    MongoDB is very easy to use and the best advantage is the NoSQL database. No concept of the relational database.
    Incentivized
    Chose MongoDB
    MongoDB is the most complete database of NoSQL type. In my opinion, it has all the tools for a good development of a database. I have not had problems when using the application.
    Incentivized
    Chose MongoDB
    optimize web application.
    Incentivized
    Chose MongoDB
    I only briefly looked at CouchDB after I already began using MongoDB. Naturally, I have used many relational SQL databases.

    Since MongoDB did everything I needed, I saw no need to look around for alternatives.
    Incentivized
    Chose MongoDB
    You can use MongoDB with the same use cases you use other relational databases, the difference is that with MongoDB you can do the same but easier and faster.
    Incentivized
    Chose MongoDB
    MongoDB was the most full-featured NoSQL database we evaluated - that offered atomic transactions at a document level, built-in HA & DR, open source, robust queries, and enterprise level support.

    Other platforms had specific parts of what we were looking for - MongoDB had it all.
    Incentivized
    Chose MongoDB
    From the beginning, we thought we would have a large volume of data, so MongoDB was a natural choice. Next we started the project and found MongoDB is also developing new features that are more like SQL which was very nice for us. As data volume is growing with time, no need to …
    Incentivized
    Chose MongoDB
    Relational DB are not efficient when storing data structure like JSON. Different data structure can be stored without defining the schema. Most relational db might store data like Json as blobs. One single entry would store the entire JSON as blob and you can't query the …
    Incentivized
    Chose MongoDB
    MongoDB is my only NoSQL database that I have used. I have used SQL databases and don't find them as enjoyable. I code in full stack JavaScript and it blends perfectly with this. I know that there are competitors in this space, and I need to take time to try them all out. I …
    Incentivized
    Chose MongoDB
    I selected MongoDB because it works for well with web interfaces. All of the RDBMS alternatives would have required a lot more time writing schemas and working around retrieving data and mapping it. That could have been somewhat mitigated with Entity Framework, but that again …
    Incentivized
    Oracle
    Chose MySQL
    I like the structured nature of MySQL over MongoDB.
    Incentivized
    Chose MySQL
    The primary reason we use MySQL instead of MongoDB is because we are in a large, legacy enterprise environment. MySQL works well and has all the necessary integrations with the various other software tools in our company's suite. Additionally, MySQL is a relational database …
    Incentivized
    Chose MySQL
    MongoDB has a dynamic schema for how data is stored in 'documents' whereas MySQL is more structured with tables, columns, and rows. MongoDB was built for high availability whereas MySQL can be a challenge when it comes to replication of the data and making everything redundant …
    Incentivized
    Chose MySQL
    MongoDB is an application oriented solution with unstructured data. Percona Server for MySQL is a good solution when looking for performance peaks and the amount of data grows continuously over time. MySQL is the ideal solution when we have a data schema defined and we do not …
    Incentivized
    Chose MySQL
    It would be hard to make a case for the use of Microsoft Access for any but the most simple of internal business applications at this stage, not because it is a bad product but it falls well short of the power and scalability of MySQL and almost any other databse solution out …
    Incentivized
    Chose MySQL
    If you are looking for a relational database (depending on your app), MySQL is a good place to start. MongoDB and Cassandra are NoSQL options (very powerful). I am more inclined towards PostgreSQL as it's more scalable over time. MySQL was bought by Oracle and the community …
    Incentivized
    Chose MySQL
    MySQL is a standard across many industries and is familiar to most developers as a result. When comparing to something like MongoDB, most developers are more familiar and comfortable with MySQL. When comparing to something like Oracle, MySQL clearly wins in the expense …
    Incentivized
    Chose MySQL
    Comparing MongoDB vs MySQL performance is difficult, since both management systems are extremely useful and the core differences underly their basic operations and initial approach. However, MongoDB vs MySQL is a hot argument that has been going on for a while now: mature …
    Incentivized
    Chose MySQL
    As MongoDB does not support relational queries we have to write all queries manually, but My Sql supports this feature through joins.
    Incentivized
    Chose MySQL
    The main argument of this decision was by popularity. At the time (2010), MySQL was the most popular open source database. Between 2010 and today, we evaluated different databases and PostgreSQL is a great competitor. SQL Server is good for windows applications but it's not …
    Incentivized
    Chose MySQL
    Postgres, SQL Server, DB2, Oracle, DashDB, MongoDB, RedShift - all of them have their strengths and weaknesses. I will say this about MySQL though, it is generally the first database chosen by a startup. It's easy to use, easy to deploy, free, and it just works.
    Incentivized
    Chose MySQL
    Is not a drop-in replacement for any of the things listed above. MySQL has it's purpose and use-cases, same as those. It's a low-cost solution for high read/low write applications and works very well when used in the right circumstances. Support can be purchased from various …
    Incentivized
    Chose MySQL
    MySQL was the first option due to the existing knowledge, and after using other databases, it also appeared to be the most predictable in terms of costs
    Incentivized
    Chose MySQL
    Each of the products has its own merits and demerits. however since MySQL is a very good documentation and global community its easy to learn and apply in different stages for analytics work. compare to other data bases its simple for setup and work on it. MySQL is cost …
    Incentivized
    Chose MySQL
    We let go SQL server as We don't want to use Windows server and bare the cost of Windows licensing.
    Incentivized
    Chose MySQL
    Having used both PostgreSQL and Microsoft SQL Server, I can tell that MySQL performs admirably in a Linux setting. When compared to Microsoft SQL Server, the extra benefit is the minimal or nonexistent licence fee. We find that MySQL's programming interface is particularly …
    Incentivized
    Chose MySQL
    It is one of the tools that we had stopped using some time ago and in the last year we amplified its use thanks to its benefits and new functionalities.
    Incentivized
    Chose MySQL
    Of course compare to no SQL databases it's slower but there is a completely different use case for them... In my opinion it is better than PostgreSQL, it's easier to configure and has the same performance, or approximately the same. Of course Oracle Database is a way bigger …
    Incentivized
    Chose MySQL
    A bit on the more complex side, but definitely one of the more popular solutions between our customers. As a stable alternative to the sometimes really pricy Oracle DB, it performed well for most of our not-database-heavy projects. It was a bit slower than no-SQL solutions on …
    Incentivized
    Chose MySQL
    MySQL is a most generic implementation of a database of a sort that is coherent with major designs of web engines and frameworks. As it works in cross-platform environments and easy to deploy it seems to be a competitive choice and prospective solution for integration into web …
    Incentivized
    Chose MySQL
    We have used Oracle as our clinical databases that stores patient records. In this project we didn't used Oracle but separately built MySQL based data infrastructure as this is an independent scientific research project. Oracle is great overall, with most of functionalities …
    Incentivized
    Chose MySQL
    MySQL has it's pros / cons. The best things about MySQL are that it is open-source/free and has such a vast community of users. If you want a free database MySQL is the quickest to use, but if you're trying to build a strong foundation for your company, I prefer Postgres. If …
    Incentivized
    Chose MySQL
    I have the most experience with MySQL so I feel most comfortable using and implementing it. I like it over MSSQL just because I'm not a fan of some of the features MSSQL has. My Mongo and Hadoop experience was for a very specific purpose and they better matches the project …
    Incentivized
    Chose MySQL
    MySQL provides a feature to easily move to another technology. As we know, most of the users like to use MySQL in the backend because it reduces the overall business cost. No need to pay additional charges. Regularly updated.
    Incentivized
    Chose MySQL
    Oracle is very mature and best in its class. However the cost is much higher. MySQL is a good alternative option.
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    12 Answers
    94%
    Would buy again
    49 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    12 Answers
    100%
    Delivers good value for the price
    51 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    12 Answers
    98%
    Happy with the feature set
    51 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    9 Answers
    97%
    Lived up to sales and marketing promises
    36 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    12 Answers
    100%
    Implementation went as expected
    46 Answers
    Features
    Kognitio (discontinued)MongoDBMySQL
    NoSQL Databases
    Comparison of NoSQL Databases features of Kognitio (discontinued) and MongoDB and MySQL
    Feature
    Kognitio (discontinued)
    -
    Ratings
    MongoDB
    10.0
    39 Ratings
    16% above category average
    MySQL
    -
    Ratings
    Performance00 Ratings10.039 Ratings00 Ratings
    Availability00 Ratings10.039 Ratings00 Ratings
    Concurrency00 Ratings10.039 Ratings00 Ratings
    Security00 Ratings10.039 Ratings00 Ratings
    Scalability00 Ratings10.039 Ratings00 Ratings
    Data model flexibility00 Ratings10.039 Ratings00 Ratings
    Deployment model flexibility00 Ratings10.038 Ratings00 Ratings
    Best Alternatives
    Kognitio (discontinued)MongoDBMySQL
    Small Businesses
    Redis Software
    Score8.8 out of 10
    IBM Cloudant
    Score7.4 out of 10
    MariaDB Platform
    Score9.1 out of 10
    Medium-sized Companies
    Redis Software
    Score8.8 out of 10
    IBM Cloudant
    Score7.4 out of 10
    PostgreSQL
    Score8.8 out of 10
    Enterprises
    Redis Software
    Score8.8 out of 10
    IBM Cloudant
    Score7.4 out of 10
    SQLite
    Score8 out of 10
    All AlternativesView all alternativesView all alternativesView all alternatives
    User Ratings
    Kognitio (discontinued)MongoDBMySQL
    Likelihood to Recommend
    9.0
    (2 ratings)
    10.0
    (79 ratings)
    8.5
    (146 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (67 ratings)
    9.0
    (5 ratings)
    Usability
    -
    (0 ratings)
    10.0
    (15 ratings)
    7.9
    (18 ratings)
    Availability
    -
    (0 ratings)
    9.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    -
    (0 ratings)
    9.6
    (13 ratings)
    9.0
    (3 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.4
    (2 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Kognitio (discontinued)MongoDBMySQL
    Likelihood to Recommend
    Kognitio
    What you have are different strategies for data encoding, which makes the process quite flexible, it is perfectly done so that a joint and collaborative work can be carried out, this information analyzed in large quantities, is extremely vital for the company, by giving it the correct and timely reading
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Oracle
    MySQL is best suited for applications on platform like high-traffic content-driven websites, small-scale web apps, data warehouses which regards light analytical workloads. However its less suited for areas like enterprise data warehouse, OLAP cubes, large-scale reporting, applications requiring flexible or semi-structured data like event logging systems, product configurations, dynamic forms.
    Incentivized
    Read full review
    Pros
    Kognitio
    • Ultra fast query results.
    • IN Memory Database.
    • Easy integration to reporting services.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Oracle
    • Stable - it just runs, with minimal downtime or errors
    • Fast - well-structured data is quickly written and read
    • Secure - MySQL is easy to keep data secure from people and applications that shouldn't see it
    • Easy to use - SQL is industry standard so no problems with adding, editing and reading data stored in MySQL
    Incentivized
    Read full review
    Cons
    Kognitio
    • Problems Could Be Encountered is particularly pronounced in more complex analyses.
    • Categorical variables are often not precise enough
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Oracle
    • Learning curve: is big. Newbies will face problems in understanding the platform initially. However, with plenty of online resources, one can easily find solutions to problems and learn on the go.
    • Backup and restore: MySQL is not very seamless. Although the data is never ruptured or missed, the process involved is not very much user-friendly. Maybe, a new command-line interface for only the backup-restore functionality shall be set up again to make this very important step much easier to perform and maintain.
    Incentivized
    Read full review
    Likelihood to Renew
    Kognitio
    No answers on this topic
    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.
    Incentivized
    Read full review
    Oracle
    For teaching Databases and SQL, I would definitely continue to use MySQL. It provides a good, solid foundation to learn about databases. Also to learn about the SQL language and how it works with the creation, insertion, deletion, updating, and manipulation of data, tables, and databases. This SQL language is a foundation and can be used to learn many other database related concepts.
    Incentivized
    Read full review
    Usability
    Kognitio
    No answers on this topic
    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.
    Incentivized
    Read full review
    Oracle
    I give MySQL a 9/10 overall because I really like it but I feel like there are a lot of tech people who would hate it if I gave it a 10/10. I've never had any problems with it or reached any of its limitations but I know a few people who have so I can't give it a 10/10 based on those complaints.
    Read full review
    Support Rating
    Kognitio
    No answers on this topic
    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.
    Incentivized
    Read full review
    Oracle
    We have never contacted MySQL enterprise support team for any issues related to MySQL. This is because we have been using primarily the MySQL Server community edition and have been using the MySQL support forums for any questions and practical guidance that we needed before and during the technical implementations. Overall, the support community has been very helpful and allowed us to make the most out of the community edition.
    Incentivized
    Read full review
    Implementation Rating
    Kognitio
    No answers on this topic
    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.
    Incentivized
    Read full review
    Oracle
    1. Estimate your data size. 2. Test, test, and test.
    Incentivized
    Read full review
    Alternatives Considered
    Kognitio
    We selected Kognitio because of the legacy systems that are still running. Also, we have legacy systems in place that are fit for Kognitio. End-user has good feedback on our side when we started implementing this solution. Current servers are compatible with Kognitio in place.
    Incentivized
    Read full review
    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.
    Read full review
    Oracle
    MongoDB has a dynamic schema for how data is stored in 'documents' whereas MySQL is more structured with tables, columns, and rows. MongoDB was built for high availability whereas MySQL can be a challenge when it comes to replication of the data and making everything redundant in the event of a DR or outage.
    Incentivized
    Read full review
    Return on Investment
    Kognitio
    • The implementation of the formats to integrate the users we have and the program is also good.
    • I also improve the control of aspects related to the work environment
    Incentivized
    Read full review
    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
    Read full review
    Oracle
    • As it is an open source solution through community solution, we can use it in a multitude of projects without cost license
    • The acquisition by Oracle makes you need to contract support for the enterprise version
    • If you have knowledge about oracle databases, you can get more out of the enterprise version
    Incentivized
    Read full review
    ScreenShots

    MongoDB Screenshots

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