Oracle Database In-Memory vs Vertica comparison

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Executive Summary

We performed a comparison between Oracle Database In-Memory and Vertica based on real PeerSpot user reviews.

Find out what your peers are saying about SAP, Oracle, Firebird and others in Embedded Database.
To learn more, read our detailed Embedded Database Report (Updated: April 2024).
768,740 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 application development is very user-friendly.""The most valuable feature is that Database-In-Memory is more consistent and faster than traditional databases as it requires fewer CPUs to process instructions.""It efficiently handles low-code data and supports read-and-write operations for clustering.""The scalability is very good.""We can integrate it with any data sources as well.""Normally, every database server uses hard disks. In-Memory has a feature, apart from their database, which is very good. When we start our server, all your data needs loading memory. We can use that. It's a very good feature. I think they added this feature in 2019. We can mount memory in the partition, create partitions in there, and create table space from that spot to share. It's a really good feature. We use it a lot.""I like Oracle because it is a backward-compatible solution.""Oracle Database In-Memory is a suite of features that improves performance for real-time analytics and mixed workloads."

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"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.""It has improved my organization's functionality and performance.""Vertica is a columnar database where the query performance is extremely fast and it can be used for real-time integrations for API and other applications. The solution requires zero maintenance which is helpful.""I appreciate the flexibility offered by Vertica's projections. It allows for modifying the primary projection without altering the tables, which helps to optimize queries without the need to modify the underlying data.""DBAs don’t need to add a partition every month/quarter like with other DBs.""Allows us to take volumes and process them at a very high speed.""It maximize cloud economics for mission-critical big data analytical initiatives.""The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."

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Cons
"Oracle should include column store or advanced query optimization so a database can be optimized by enabling analytic queries to run faster.""The pricing could be improved. It would ideal if it was more reasonable.""Technical support is below our expectations currently. It could be improved.""The platform’s pricing needs improvement.""The solution should move to the new way of writing software code with AI that is intelligent and learns.""The query optimization and backup features should be added.""Lacks sufficient integration with other tools.""The solution is quite expensive."

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"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down.""They could improve on customer service.""They could improve the integration and some of the features in the cloud version.""I think they need an easy client so that you can write queries easily, but it's not necessarily a weak point. I think some users would need them.""Documentation has become much better, but can always use some improvement.""I believe the installation process could be streamlined.""In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics.""Limitations in group by projections is where I would like to see an improvement."

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Pricing and Cost Advice
  • "Database In-Memory is priced a bit higher than its competitors like Microsoft."
  • "The pricing is pretty good so I rate it an eight out of ten."
  • "Oracle Database In-Memory is expensive."
  • "I rate the pricing a zero out of ten because Database In-Memory is too costly."
  • "It's quite costly and it comes with a fixed price."
  • "The solution's pricing is high."
  • "The product is expensive."
  • "There is a need to make a yearly payment towards the licensing costs, after which there is any to pay towards the support cost attached to the solution."
  • More Oracle Database In-Memory 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:We can integrate it with any data sources as well.
    Top Answer:The cost of the product is high. There is a need to make a yearly payment towards the licensing costs, after which there is any to pay towards the support cost attached to the solution.
    Top Answer:The platform’s pricing needs improvement.
    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
    2nd
    out of 14 in Embedded Database
    Views
    837
    Comparisons
    659
    Reviews
    12
    Average Words per Review
    392
    Rating
    9.0
    4th
    out of 34 in Data Warehouse
    Views
    4,276
    Comparisons
    3,331
    Reviews
    10
    Average Words per Review
    353
    Rating
    8.3
    Comparisons
    Also Known As
    Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
    Learn More
    Overview

    Oracle Database In-Memory transparently accelerates analytics by orders of magnitude while simultaneously speeding up mixed-workload OLTP. With Oracle Database In-Memory, users get immediate answers to business questions that previously took hours.

    Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality, or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with any existing Oracle Database compatible application is as easy as flipping a switch - no application changes are required. Oracle Database In-Memory is fully integrated with the Oracle Database’s renowned scale-up, scale-out, storage tiering, availability, and security technologies making it the most industrialstrength offering on the market.

    The ability to easily perform real-time data analysis together with real-time transaction processing on all existing applications enables organizations to transform into Real-Time Enterprises that quickly make data-driven decisions, respond instantly to customer demands, and continuously optimize all key processes.

    For more information on Oracle Database In-Memory, visit Oracle.com

    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
    Shanghai Customs
    Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
    Top Industries
    REVIEWERS
    Financial Services Firm18%
    Manufacturing Company18%
    Government12%
    Computer Software Company12%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company12%
    Manufacturing Company9%
    Government8%
    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
    REVIEWERS
    Small Business23%
    Midsize Enterprise15%
    Large Enterprise62%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    REVIEWERS
    Small Business32%
    Midsize Enterprise26%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise66%
    Buyer's Guide
    Embedded Database
    April 2024
    Find out what your peers are saying about SAP, Oracle, Firebird and others in Embedded Database. Updated: April 2024.
    768,740 professionals have used our research since 2012.

    Oracle Database In-Memory is ranked 2nd in Embedded Database with 27 reviews while Vertica is ranked 4th in Data Warehouse with 83 reviews. Oracle Database In-Memory is rated 8.8, while Vertica is rated 8.2. The top reviewer of Oracle Database In-Memory writes "User friendly with great scalability but needs to move toward intelligent AI". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". Oracle Database In-Memory is most compared with SAP HANA, Progress OpenEdge RDBMS, IBM Db2 Database, SQL Server and MariaDB, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and Oracle Exadata.

    We monitor all Embedded Database 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.