Actian Ingres vs Snowflake comparison

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Executive Summary

We performed a comparison between Actian Ingres and Snowflake based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.
To learn more, read our detailed Data Warehouse Report (Updated: March 2024).
765,386 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 deployment of our solution across a number of servers using Ingres .NET has meant that we can protect the database server behind a highly secure firewall and deploy the front end solutions on a normal web server."

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"The most efficient way for real-time dashboards or analytical business intelligence reports to be sent to the customer.""It has great flexibility whenever we are loading data and performs ELT (extract, load, transform) techniques instead of ETL.""Working with Parquet files is support out of the box and it makes large dataset processing much easier.""I like the fact that we don't need a DBA. It automatically scales stuff.""I like the idea that you can assign roles and responsibilities, limiting access to data.""It helped us to build MVP (minimum viable product) for our idea of building a data warehouse model for small businesses.""The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power.""The most valuable features are sharing data, Time Travel, Zero Copy Cloning, performance, and speed."

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Cons
"The ability to reset the log file without stopping the DBMS would be helpful for us."

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"There is a scope for improvement. They don't currently support integration with some of the Azure and AWS native services. It would be good if they can enhance their product to integrate with these services.""Snowflake could improve migration. It should be made easier. It would be beneficial if it could offer some OLTP features. One of our customers was using Oracle for both data warehousing and OLTP workloads, and they were able to migrate their data warehousing workloads to Snowflake without major issues. However, for some of their OLTP requirements, such as needing a response time of fewer than 10 milliseconds for certain queries, Snowflake is currently unable to provide that.""If you go with one cloud provider, you can't switch.""Currently, Snowflake doesn't support unstructured data.""I am still in the learning stage. It has good security, but it can always be more secure.""The cost efficiency and monitoring of this solution could be improved. It's easy to spend a lot on Snowflake and it does offer monitoring tools but they're pretty basic.""There are a lot of features that they need to come up with. A lot of functions are missing in Snowflake, so we have to find a workaround for those. For example, OUTER APPLY is a basic function in SQL Server, but it is not there in Snowflake. So, you have to write complex code for it.""These days, they are pushing users towards the GUI or graphical version. However, I am more familiar with the classic version. I'd like to continue to work with it using the older approach."

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Pricing and Cost Advice
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  • "Pricing can be confusing for customers."
  • "The whole licensing system is based on credit points. You can also make a license agreement with the company so that you buy credit points and then you use them. What you do not use in one year can be carried over to the next year."
  • "You pay based on the data that you are storing in the data warehouse and there are no maintenance costs."
  • "It is not cheap."
  • "The pricing for Snowflake is competitive."
  • "On average, with the number of queries that we run, we pay approximately $200 USD per month."
  • "Pricing is approximately $US 50 per DB. Terabyte is around $US 50 per month."
  • "The price of Snowflake is very reasonable."
  • More Snowflake Pricing and Cost Advice →

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    Top Answer:The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power.
    Top Answer:The real-time streaming feature is limited with Snowflake and could be improved. Currently, Snowflake doesn't support unstructured data. With Snowflake, you need to be very particular about the type… more »
    Ranking
    22nd
    out of 33 in Data Warehouse
    Views
    430
    Comparisons
    230
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    1st
    out of 33 in Data Warehouse
    Views
    12,615
    Comparisons
    7,271
    Reviews
    40
    Average Words per Review
    455
    Rating
    8.4
    Comparisons
    Also Known As
    Ingres, Ingres 2006
    Snowflake Computing
    Learn More
    Actian
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    Overview

    Actian’s Ingres is a leading, enterprise-grade database management system designed to reduce IT costs and time-to-value, while delivering the strength and features expected from an enterprise-class database. Ingres 10.2 is the latest version of the database, containing enhancements that will make it easier to internationalize customer applications. Along with improved performance and reduced configuration overhead, users can take their first steps into big data analytics with the new Window functions.

    Snowflake is a cloud-based data warehousing solution for storing and processing data, generating reports and dashboards, and as a BI reporting source. It is used for optimizing costs and using financial data, as well as for migrating data from on-premises to the cloud. The solution is often used as a centralized data warehouse, combining data from multiple sources.

    Snowflake has helped organizations improve query performance, store and process JSON and XML, consolidate multiple databases into one unified table, power company-wide dashboards, increase productivity, reduce processing time, and have easy maintenance with good technical support.

    Its platform is made up of three components:

    1. Cloud services - Snowflake uses ANSI SQL to empower users to optimize their data and manage their infrastructure, while Snowflake handles the security and encryption of stored data.
    2. Query processing - Snowflake's compute layer is made up of virtual cloud data warehouses that let you analyze data through requests. Each of the warehouses does not compete for computing resources, nor do they affect the performance of each other.
    3. Database storage - Snowflake automatically manages all parts of the data storage process, including file size, compression, organization, structure, metadata, and statistics.

    Snowflake has many valuable vital features. Some of the most useful ones include:

    • Snowflake architecture provides nearly unlimited scalability and high speed because it uses a single elastic performance engine. The solution also supports unlimited concurrent users and workloads, from interactive to batch.
    • Snowflake makes automation easy and enables enterprises to automate data management, security, governance, availability, and data resiliency.
    • With seamless cross-cloud and cross-region connections, Snowflake eliminates ETL and data silos. Anyone who needs access to shared secure data can get a single copy via the data cloud. In addition, Snowflake makes remote collaboration and decision-making fast and easy via a single shared data source.
    • Snowflake’s Data Marketplace offers third-party data, which allows you to connect with Snowflake customers to extend workflows with data services and third-party applications.

    There are many benefits to implementing Snowflake. It helps optimize costs, reduce downtime, improve operational efficiency, and automate data replication for fast recovery, and it is built for high reliability and availability.

      Below are quotes from interviews we conducted with users currently using the Snowflake solution:

      Sreenivasan R., Director of Data Architecture and Engineering at Decision Minds, says, "Data sharing is a good feature. It is a majorly used feature. The elastic computing is another big feature. Separating computing and storage gives you flexibility. It doesn't require much DBA involvement because it doesn't need any performance tuning. We are not doing any performance tuning, and the entire burden of performance and SQL tuning is on Snowflake. Its usability is very good. I don't need to ramp up any user, and its onboarding is easier. You just onboard the user, and you are done with it. There are simple SQL and UI, and people are able to use this solution easily. Ease of use is a big thing in Snowflake."

      A director of business operations at a logistics company mentions, "It requires no maintenance on our part. They handle all that. The speed is phenomenal. The pricing isn't really anything more than what you would be paying for a SQL server license or another tool to execute the same thing. We have zero maintenance on our side to do anything and the speed at which it performs queries and loads the data is amazing. It handles unstructured data extremely well, too. So, if the data is in a JSON array or an XML, it handles that super well."

      A Solution Architect at a wholesaler/distributor comments, "The ability to share the data and the ability to scale up and down easily are the most valuable features. The concept of data sharing and data plumbing made it very easy to provide and share data. The ability to refresh your Dev or QA just by doing a clone is also valuable. It has the dynamic scale up and scale down feature. Development and deployment are much easier as compared to other platforms where you have to go through a lot of stuff. With a tool like DBT, you can do modeling and transformation within a single tool and deploy to Snowflake. It provides continuous deployment and continuous integration abilities. There is a separation of storage and compute, so you only get charged for your usage. You only pay for what you use. When we share the data downstream with business partners, we can specifically create compute for them, and we can charge back the business."

      Sample Customers
      Groupe Adeo, IsCool Entertainment
      Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
      Top Industries
      VISITORS READING REVIEWS
      Computer Software Company22%
      Manufacturing Company11%
      Government11%
      Financial Services Firm8%
      REVIEWERS
      Computer Software Company29%
      Financial Services Firm20%
      Healthcare Company6%
      Manufacturing Company6%
      VISITORS READING REVIEWS
      Educational Organization26%
      Financial Services Firm13%
      Computer Software Company10%
      Manufacturing Company6%
      Company Size
      VISITORS READING REVIEWS
      Small Business29%
      Midsize Enterprise19%
      Large Enterprise52%
      REVIEWERS
      Small Business24%
      Midsize Enterprise20%
      Large Enterprise55%
      VISITORS READING REVIEWS
      Small Business15%
      Midsize Enterprise33%
      Large Enterprise52%
      Buyer's Guide
      Data Warehouse
      March 2024
      Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: March 2024.
      765,386 professionals have used our research since 2012.

      Actian Ingres is ranked 22nd in Data Warehouse while Snowflake is ranked 1st in Data Warehouse with 92 reviews. Actian Ingres is rated 9.0, while Snowflake is rated 8.4. The top reviewer of Actian Ingres writes "Good multi-platform SQL compatibility, as well as performance and data integrity". On the other hand, the top reviewer of Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". Actian Ingres is most compared with Oracle Database Appliance, Databricks and Teradata, whereas Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and AWS Lake Formation.

      See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.

      We monitor all Data Warehouse 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.