Snowflake vs TIBCO Live Datamart comparison

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Snowflake Computing Logo
11,484 views|6,413 comparisons
96% willing to recommend
TIBCO Logo
72 views|52 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Snowflake and TIBCO Live Datamart based on real PeerSpot user reviews.

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Snowflake vs. TIBCO Live Datamart Report (Updated: May 2024).
772,679 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
"It has great flexibility whenever we are loading data and performs ELT (extract, load, transform) techniques instead of ETL.""Snowflake is a database, and it is very good and useful. The most interesting part is that memory management is very good in Snowflake. For a business intelligence project, SQL Server is taking a lot of time for reporting services. There are a lot of calculations, and the reporting time is shown as two minutes, whereas Snowflake is taking just two seconds for the same reporting services.""The solution's computing time is less.""The pricing is reasonable and matches the rest of the market.""The Mbps they have established is quite a bit faster than any other data warehouse.""Everything is automatic, and I don't have to do any maintenance.""The solution is stable.""The most valuable feature is the snapshot database. In one second, you can just take a snapshot of the database for test purposes."

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"You can create your own rules that include mathematic calculations.""The solution has a powerful aggregating feature"

More TIBCO Live Datamart Pros →

Cons
"It's not that flexible when compared to Oracle.""If we can have a feature where the results can be moved to different tabs, so that I can compare the results with earlier queries before applying the changes, it would be great.""The pricing of the solution should be much easier to calculate or find by yourself.""Support needs improvement, as it can take several days before you get some initial support.""We are yet to figure out how to integrate tools, such as Liquibase, to release changes to our data warehouse model.""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.""Some SQL language functions could be included.""Their strategy is just to leverage what you've got and put Snowflake in the middle. It does work well with other tools. You have to buy a separate reporting tool and a separate data loading tool, whereas, in some platforms, these tools are baked in. In the long-term, they'll need to add more direct partnerships to the ecosystem so that it's not like adding on tools around Snowflake to make it work. They can also consider including Snowflake native reporting tools versus partnering with other reporting tools. It would kind of change where they sit in the market."

More Snowflake Cons →

"Improvements need to be made on the load balancing side.""The solution's setup could be quicker and easier."

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Pricing and Cost Advice
  • "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 →

  • "The solution might be considered a bit expensive because it competes with open-source products."
  • More TIBCO Live Datamart Pricing and Cost Advice →

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    Questions from the Community
    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 »
    Top Answer:You can create your own rules that include mathematic calculations.
    Top Answer:The solution might be considered a bit expensive because it competes with open-source products. In comparison to Azure Libraries, the solution provides a free library and a basic infrastructure for… more »
    Top Answer:The solution's setup could be quicker and easier. IT experts are required from the server side. Advanced users can implement quickly but there always a need for some drag-and-drop flow improvements… more »
    Ranking
    1st
    out of 35 in Data Warehouse
    Views
    11,484
    Comparisons
    6,413
    Reviews
    35
    Average Words per Review
    432
    Rating
    8.3
    13th
    out of 35 in Data Warehouse
    Views
    72
    Comparisons
    52
    Reviews
    2
    Average Words per Review
    517
    Rating
    9.0
    Comparisons
    Also Known As
    Snowflake Computing
    Streambase, TIBCO LiveView Data Mart
    Learn More
    Overview

    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."

      TIBCO Live Datamart is the industry’s first ultra fast continuous query processing engine made for live operational intelligence. It supports real-time data from anywhere, consumes live streaming data, and can connect to historical data in monolithic and edge systems by using either included data adapters or by leveraging the TIBCO integration platform. With its real-time computations against high-speed streaming data and continuous pushing of results to live queries, TIBCO Live Datamart offers users faster time to actionable insight and automated action. 

      Sample Customers
      Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
      Aerospace Corporation, Balfour Beatty Infrastructure Services, Banco Sabadell, Bolton Borough Council
      Top Industries
      REVIEWERS
      Computer Software Company30%
      Financial Services Firm20%
      Healthcare Company6%
      Manufacturing Company6%
      VISITORS READING REVIEWS
      Educational Organization27%
      Financial Services Firm13%
      Computer Software Company10%
      Manufacturing Company6%
      No Data Available
      Company Size
      REVIEWERS
      Small Business26%
      Midsize Enterprise21%
      Large Enterprise54%
      VISITORS READING REVIEWS
      Small Business15%
      Midsize Enterprise35%
      Large Enterprise51%
      No Data Available
      Buyer's Guide
      Snowflake vs. TIBCO Live Datamart
      May 2024
      Find out what your peers are saying about Snowflake vs. TIBCO Live Datamart and other solutions. Updated: May 2024.
      772,679 professionals have used our research since 2012.

      Snowflake is ranked 1st in Data Warehouse with 94 reviews while TIBCO Live Datamart is ranked 13th in Data Warehouse with 2 reviews. Snowflake is rated 8.4, while TIBCO Live Datamart is rated 9.0. The top reviewer of Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". On the other hand, the top reviewer of TIBCO Live Datamart writes "Standout features are real-time dashboards and powerful aggregation". Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and AWS Lake Formation, whereas TIBCO Live Datamart is most compared with . See our Snowflake vs. TIBCO Live Datamart report.

      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.