Citus Data vs Vertica comparison

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1,902 views|1,516 comparisons
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90% willing to recommend
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Executive Summary

We performed a comparison between Citus Data and Vertica based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools.
To learn more, read our detailed Relational Databases Tools Report (Updated: April 2024).
767,847 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
"You can use Citus Data to write complex scripts. I like its version upgrades and disaster recovery as well.""Its distributed processing capabilities are a standout feature. It requires minimal changes to get up and running if you already have a system on PostgreSQL. Citus can run in its natural state.""It's very straightforward to implement the solution. It took us two days to set up everything."

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"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI.""The feature I like best is performance. We use Red Tool and Red Job for the data warehouse and reporting. It's perfect. Performance is good, and it can return ad hoc queries very quickly. Of course, it's a cluster, so it's easy to scale.""Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.""Initiate on one node, and the RPM propagates automatically to all other nodes. ​""Vertica is a columnar database, this support our developments in analytics, advanced analytics, and ETL process with large sets of data.""Vertica gives knowledgeable users and DBAs excellent tools for tuning.""The product's initial setup phase is extremely simple.""I enjoy the cybersecurity and backup features."

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Cons
"More features in monitoring and the reporting could make it better.""There are many areas of improvement , especially in terms of DDL query routing. Even though it's masterless, DDL queries need to be sent to the coordinator node. Also, setting up a multi-node environment could be more straightforward.""Citus Data needs to improve its stability. Do not consider this product if you have the budget. It is still developing and has a lot of issues."

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"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics.""When it is about to reach the maximum storage capacity, it becomes slow.""Support is an area where it could get better.""Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata.""Vertica can improve automation and documentation. Additionally, the solution can be simplified.""They could improve the integration and some of the features in the cloud version.""There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs.""In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform."

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Pricing and Cost Advice
  • "Citus Data is an open-source product."
  • More Citus Data Pricing and Cost Advice →

  • "Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
  • "It's free up to three nodes and 1TB, and then get in contact with their sales guys."
  • "Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free."
  • "The first TB is free and you can use all the Vertica features. After 1TB you have to pay for licensing. The product is worth it, but be aware of this condition, and plan. The compression ratio is explained in the documentation."
  • "I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing."
  • "Read the fine print carefully."
  • "It is fast to purchase through the AWS Marketplace."
  • "The pricing and licensing depend on the size of your environment and the zone where you want to implement."
  • More Vertica Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:You can use Citus Data to write complex scripts. I like its version upgrades and disaster recovery as well.
    Top Answer:Citus Data needs to improve its stability. Do not consider this product if you have the budget. It is still developing and has a lot of issues.
    Top Answer:The product's initial setup phase is extremely simple.
    Top Answer:In my opinion, nothing needs improvement in the solution as it is a great product. The documentation of Vertica is an area with shortcomings where improvements are required. Vertica needs to increase… more »
    Ranking
    Views
    1,902
    Comparisons
    1,516
    Reviews
    2
    Average Words per Review
    399
    Rating
    7.5
    4th
    out of 34 in Data Warehouse
    Views
    4,276
    Comparisons
    3,331
    Reviews
    10
    Average Words per Review
    353
    Rating
    8.3
    Comparisons
    YugabyteDB logo
    Compared 34% of the time.
    CockroachDB logo
    Compared 33% of the time.
    Amazon Aurora logo
    Compared 10% of the time.
    SQL Server logo
    Compared 8% of the time.
    Oracle Multitenant logo
    Compared 2% of the time.
    Snowflake logo
    Compared 18% of the time.
    SQL Server logo
    Compared 15% of the time.
    Amazon Redshift logo
    Compared 11% of the time.
    Teradata logo
    Compared 10% of the time.
    Oracle Exadata logo
    Compared 7% of the time.
    Also Known As
    Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
    Learn More
    Overview

    Citus is a distributed database that extends PostgreSQL, allowing you to continue using all the powerful Postgres features while still scaling.

    Whether you're running into a ceiling on a single node, or need more performance for real-time analytical queries Citus can help.

    Vertica is a deploy-anywhere SQL database created for elasticity, speed, and advanced analytics. Vertica enables today’s busy teams to modernize their data warehouses, democratize data and analytics to enable increased access, and deploy analytics in a hybrid cloud environment. Additionally, Vertica merges how companies power their analytics by providing a scalable, open, and elastic database with numerous intuitive features.

    In today’s marketplace, organizations are experiencing continued robust growth of data volumes, and citizen data scientists’ broader use of analytics is causing many companies to re-visit and re-examine their systems in order to match the demands of an aggressive marketplace. Analytics are continually swiftly evolving. New data from social media, blogs, IoT sources, data streams, gas and electrical grids, and mobile networks is being constantly gathered in extensive data sets. This presents organizations with a new opportunity to become more data driven, and they must be able to manage the new data growth and identify the trends and sequences that can lead to both improved business opportunities and continued repeat business from their clients.

    Vertica Benefits:

    Vertica has many valuable key benefits. Some of its most useful benefits include:

    • Efficiency:  Vertica provides robust compression and intuitive impressions. This results in users requiring significantly less storage and hardware than other comparable data analytics solutions. The progressive Vertica architecture results in queries that are 10-50 times faster than other platforms while providing more storage data per server.
    • Integration: Each new iteration of Vertica is tested and certified with the latest ETL and visualization tools. It actively supports Java Database Connectivity (JDBC), Open Database Connectivity (ODBC), and popular SQL providers. All these solutions and most leading BI and visualization tools interact seamlessly, making Vertica overall a very cost-effective solution and solid business investment.
    • Cloud flexibility: With Vertica, users do not have to get locked into a single cloud vendor. Users are able to take complete advantage of the current infrastructure that is already in place. Vertica seamlessly integrates with popular public clouds, including Google Cloud Platform (GCP), Azure, AWS, Alibaba, VMware clouds, and more. It also provides for easy portability across on-premise and multi-cloud environments and data lakes. Vertica designs a robust flexible platform for running a company’s analytical and computing workloads, which allows applications to run simultaneously on numerous environments in a hybrid cloud infrastructure. Vertica is able to seamlessly use public clouds and private data centers, and it grants the flexibility to switch in an instant.
    • Security: Vertica offers dynamic end-to-end security with support for partner solutions and industry-standard protocols such as Apache Sentry, AWS IAM, Kerberos, LDAP, and more. Vertica utilizes an intuitive layered security model that provides multiple security authentication authorization mechanisms. Vertica will also maintain an audit trail, natively exported to other security domains for analysis and persistence. 

    Reviews from Real Users

    “I am using Vertica for aggregations and dashboards. The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good.” - Bijal S., Group Chief Technology Officer at Netcore Solutions

    “The hardware usage and speed has been the most valuable feature of this solution. It is very fast and has saved us a lot of money.” - Munkhsaikhan B.,  Project Lead - Digital Transformation Unit at Bodi Electronics LLC

    Sample Customers
    Cloud Flare, Agari, Mix Rank, Heap
    Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm14%
    Comms Service Provider14%
    Manufacturing Company9%
    REVIEWERS
    Computer Software Company19%
    Media Company17%
    Marketing Services Firm14%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company15%
    Manufacturing Company8%
    Comms Service Provider6%
    Company Size
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise19%
    Large Enterprise60%
    REVIEWERS
    Small Business31%
    Midsize Enterprise26%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise66%
    Buyer's Guide
    Relational Databases Tools
    April 2024
    Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools. Updated: April 2024.
    767,847 professionals have used our research since 2012.

    Citus Data is ranked 18th in Relational Databases Tools with 3 reviews while Vertica is ranked 4th in Data Warehouse with 82 reviews. Citus Data is rated 8.0, while Vertica is rated 8.4. The top reviewer of Citus Data writes "Efficiently handles high-traffic scenarios and compatible with PostgreSQL extensions, offering flexibility in database management". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". Citus Data is most compared with YugabyteDB, CockroachDB, Amazon Aurora, SQL Server and Oracle Multitenant, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and Oracle Exadata.

    We monitor all Relational Databases Tools 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.