Cassandra vs PostgreSQL comparison

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344 views|264 comparisons
89% willing to recommend
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392 views|339 comparisons
96% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Cassandra and PostgreSQL based on real PeerSpot user reviews.

Find out in this report how the two Vector Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Cassandra vs. PostgreSQL Report (Updated: March 2024).
770,458 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:
Pros
"The most valuable features are the counter features and the NoSQL schema. It also has good scalability. You can scale Cassandra to any finite level.""The technical evaluation is very good.""A consistent solution.""The time series data was one of the best features along with auto publishing.""The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming.""Some of the valued features of this solution are it has good performance and failover.""We can add almost one million columns to the solution.""The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time updates is paramount."

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"It's a transactional database, so we use Postgres for most of our reporting. That's where it's helping.""The solution has many valuable features such as it easy to use and the interface is intuitive.""We often use PostgreSQL for operations monitoring because we are a manufacturing company.""What I like is that it's quite powerful in terms of performance.""It's quite scalable.""Postgres has some functions called JSONB aggregators or other aggregators, which are quite useful.""It's a useful solution, that can be widely used.""The product is very similar to the SQL Server."

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Cons
"The secondary index in Cassandra was a bit problematic and could be improved.""The solution doesn't have joins between tables so you need other tools for that.""It can be difficult to analyze what's going on inside of the database relative to other databases. It can also be difficult to troubleshoot sometimes.""Interface is not user friendly.""Doesn't support a solution that can give aggregation.""The initial setup of Cassandra can be difficult in the configuration. There might be a need to have assistance. The implementation process can six months for connecting to certain databases.""Cassandra can improve by adding more built-in tools. For example, if you want to do some maintenance activities in the cluster, we have to depend on third-party tools. Having these tools build-in would be e benefit.""Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product."

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"PostgreSQL could improve by providing a geographical solution for tracking trucks and people in the field. They might already have features similar to this and I have not found them. I haven't done research about this topic.""PostgreSQL doesn't have a feature for temporal SQL, which is useful for gathering versions of data. This feature should be included in PostgreSQL. This feature is available in MariaDB, SQL Server, Oracle Database, and DB2.""They need to have a better graphical interface. There is a tool called pgAdmin 4 that they use, which is free. It is written in Java, and it is slow. They need to have a better product that is similar to Toad for Oracle, but, of course, it is hard to get something that's really great and free. Other than that, it is great.""If it was free to use, it would be the perfect solution.""Instead of the installation agent downloading all the packages for the install, it should allow the user to download the packages separately on their own to do the install.""It still needs to be more mature and have some backup feature. We are normally dealing with Oracle's data, and we have very strong online tools to back up the data and do other things. PostgreSQL still needs to do more in this area as well as in the high availability area. There are many external tools that you can use for PostgreSQL's high availability, but there is no embedded tool within PostgreSQL for high availability. It could have a feature similar to Oracle for working on a distributed system. It can have some scripts to improve the monitoring and some tools to do performance analysis. We have a workaround for most of such requirements except for the support for a distributed system, which is very difficult to have. This area should be included in the core of the database itself.""PostgreSQL uses high memory compared to its counterparts when a highly demanding load is involved, especially one that makes many concurrent connections to the database.""It is possible that in the newer version this has been addressed, but I would like the deployment in microservices architecture could be improved."

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Pricing and Cost Advice
  • "Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."
  • "There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."
  • "We are using the open-source version of Cassandra, the solution is free."
  • "We pay for a license."
  • "I don't have the specific numbers on pricing, but it was fairly priced."
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  • "Affordable solution."
  • "It is free. There is no license on it."
  • "It is also open-source so it is free."
  • "PostgreSQL is a free and open-source database."
  • "It is free, but if you need support, you can go for the commercial version called EnterpriseDB. They provide paid support, and they can even do hosting for you if you want standby and support."
  • "It is open-source. If you use it on-premise, it is free. It also has enterprise or commercial versions. If you go for the cloud version, there will be a cost, but it is lower than Oracle or Microsoft."
  • "The solution requires a license."
  • "We do not pay for licensing."
  • More PostgreSQL Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time… more »
    Top Answer:There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using… more »
    Top Answer:PostgreSQL was designed in a way that provides you with not only a high degree of flexibility but also offers you a cheap and easy-to-use solution. It gives you the ability to redesign and audit your… more »
    Ranking
    11th
    out of 21 in Vector Databases
    Views
    344
    Comparisons
    264
    Reviews
    7
    Average Words per Review
    358
    Rating
    7.3
    7th
    out of 21 in Vector Databases
    Views
    392
    Comparisons
    339
    Reviews
    7
    Average Words per Review
    368
    Rating
    8.9
    Comparisons
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    MongoDB logo
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    InfluxDB logo
    Compared 12% of the time.
    ScyllaDB logo
    Compared 12% of the time.
    Oracle NoSQL logo
    Compared 7% of the time.
    Firebird SQL logo
    Compared 37% of the time.
    MySQL logo
    Compared 17% of the time.
    MariaDB logo
    Compared 14% of the time.
    SQLite logo
    Compared 3% of the time.
    Learn More
    PostgreSQL
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    Overview

    Cassandra is a distributed and scalable database management system used for real-time data processing. 

    It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model. 

    It is commonly used in finance, e-commerce, and social media industries.

    PostgreSQL is a versatile and reliable database management system commonly used for web development, data analysis, and building scalable databases. 

    It offers advanced features like indexing, replication, and transaction management. Users appreciate its flexibility, performance, and ability to handle large amounts of data efficiently. Its robustness, scalability, and support for complex queries make it highly valuable. 

    Additionally, PostgreSQL's extensibility, flexibility, community support, and frequent updates contribute to its ongoing improvement and stability.

    Sample Customers
    1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota
    1. Apple 2. Cisco 3. Fujitsu 4. Instagram 5. Netflix 6. Red Hat 7. Sony 8. Uber 9. Cisco Systems 10. Skype 11. LinkedIn 12. Etsy 13. Yelp 14. Reddit 15. Dropbox 16. Slack 17. Twitch 18. WhatsApp 19. Snapchat 20. Shazam 21. SoundCloud 22. The New York Times 23. Cisco WebEx 24. Atlassian 25. Cisco Meraki 26. Heroku 27. GitLab 28. Zalando 29. OpenTable 30. Trello 31. Square Enix 32. Bloomberg
    Top Industries
    REVIEWERS
    Comms Service Provider25%
    Computer Software Company13%
    University13%
    Financial Services Firm13%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company15%
    Comms Service Provider7%
    Healthcare Company6%
    REVIEWERS
    Computer Software Company14%
    Comms Service Provider13%
    Financial Services Firm9%
    University8%
    VISITORS READING REVIEWS
    Computer Software Company15%
    Comms Service Provider11%
    Financial Services Firm10%
    Manufacturing Company7%
    Company Size
    REVIEWERS
    Small Business39%
    Large Enterprise61%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business45%
    Midsize Enterprise20%
    Large Enterprise35%
    VISITORS READING REVIEWS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise59%
    Buyer's Guide
    Cassandra vs. PostgreSQL
    March 2024
    Find out what your peers are saying about Cassandra vs. PostgreSQL and other solutions. Updated: March 2024.
    770,458 professionals have used our research since 2012.

    Cassandra is ranked 11th in Vector Databases with 19 reviews while PostgreSQL is ranked 7th in Vector Databases with 123 reviews. Cassandra is rated 8.0, while PostgreSQL is rated 8.4. The top reviewer of Cassandra writes "Well-equipped to handle a massive influx of data and billions of requests". On the other hand, the top reviewer of PostgreSQL writes " Real-time data capture optimizes database performance but Views create problems". Cassandra is most compared with Couchbase, MongoDB, InfluxDB, ScyllaDB and Oracle NoSQL, whereas PostgreSQL is most compared with Firebird SQL, EDB Postgres Advanced Server, MySQL, MariaDB and SQLite. See our Cassandra vs. PostgreSQL report.

    See our list of best Vector Databases vendors.

    We monitor all Vector 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.