DB2 is a family of relational database software solutions offered by IBM. It includes standard Db2 and Db2 Warehouse editions, either deployable on-cloud, or on-premise.
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Snowflake
Score 8.9 out of 10
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The Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely access the Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.
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Pricing
Db2
Snowflake
Editions & Modules
Db2 on Cloud Lite
$0
Db2 on Cloud Standard
$99
per month
Db2 Warehouse on Cloud Flex One
$898
per month
Db2 on Cloud Enterprise
$946
per month
Db2 Warehouse on Cloud Flex for AWS
2,957
per month
Db2 Warehouse on Cloud Flex
$3,451
per month
Db2 Warehouse on Cloud Flex Performance
13,651
per month
Db2 Warehouse on Cloud Flex Performance for AWS
13,651
per month
Db2 Standard Edition
Contact Sales
Db2 Advanced Edition
Contact Sales
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Offerings
Pricing Offerings
Db2
Snowflake
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Db2
Snowflake
Considered Both Products
Db2
Verified User
Anonymous
Chose Db2
Budget availability for making sure product stands test of time for scalability, secure and able to handle large data sets
I have used DBArtisan before in another project with similar use cases, and both are very reliable and work well. As this application is compatible with their platforms, the current company is using the IBM db2 for the work.
Oracle and Microsoft are the ones that we have more to compare with and they are on par with Db2. Postgres is the small solution that usually we leave behind and move to Db2. Mongo is the one that is different from what I used Db2 for but I know it has the capability to use …
Db2 features are more secure basd and it is always support the requirement like large volume of data in multiple format like row and column and it downtime is very less its happen often hen it is going in maintenance. Its security and compliance features are very effective and …
IBM Db2 in my organization has had overall a much better consistency rating and effectiveness. Turnaround times are shorter and the need for human intervention is significantly less. We find Db2 to be more reliable overall and a better experience to use. In terms on real time …
Db2 has overall stronger capabilities with data maintenance, governance and task scheduling, however Teradata has a more developed online community with more robust and timely customer support. The support and training capabilities and the user community where you can interact …
Dynamodb is not relational database. While Db2 is relational database so you can store any kind of data. Dynamodb is difficult with access control as it's problematic to see the data in the console while Db2 has upper hand in this. Data security with Db2 is more than others due …
From working with other databases, I always felt that Db2 was at the top of its game in all aspects of performance, recoverability, and stability—pretty much everything you want out of an Enterprise database system.
Access controls, encryption, and auditing
capabilities are just a few of the strong security features supported by IBM Db2.I think Strong security features are offered by it, such as integration with Active Directory and LDAP enterprise security infrastructures, row and column …
IBM Db2 provides solutions for Data Lakes, Operational Databases, Data Warehouses, and Fast Data. IBM has a rich history of being a diversity, equity, and inclusion leader. Easy to design, implement, test, and implement with huge support material across different platforms. …
Db2 provides a combination of performance and scalability. Security wise, Db2 is always a first choice, especially for the systems where security can't be compromised. For mainframe systems, there is no other DB in the market that can perform better than Db2. If an organization …
we have felt Db2 with enhance capability stands better than oracle offering and cost benefit is also there with features like better security and better integration with analytical engines and provision for XML, JSON, text and spatial data formats for different kinds of …
Considering Price, features configurations timelines of the IBM Db2 we found that is very Robust in Scalability, Reliability, Highly Available. also, we are already a IBM products user and we are much satisfied with the overall product as well as customer support from IBM team. …
I have experience with the above-mentioned similar products but mainly with MySQL. In terms of speed and query optimization capabilities, Db2 is far ahead in comparison to MySQL. Because of various issues like scalability, multiple departments hitting DB together causing …
unlike other database Db2 work in diffent concept.most of the org use db to manage huge chuck of data and process faster with less time.other database will be failed to do such task or success rate will be less
IBM Db2 suite is an object-relational database, and due to its strong fundamentals, it stands apart from the rest of the products. With the rich user experience it provides, customers most likely use this product. It also provides a wide range of features like Disaster recovery …
Compared to similar products, Db2 shared common Relational DataBase Management System (RDBMS) features such as SQL support, data integrity, Atomicity, Consistency, Isolation and Durability (ACID) Compliance and concurrency control. However, the Db2 is designed for scalability, …
We tried MS SQL. However, MS SQL is one of the most widely used in enterprise management. However, that is mostly compatible with Microsoft services and does not provide much strength with outside applications. db2 is also open-independent and compatible with cross-platforms, …
Implementation and administration complexity, user learning curves, cost considerations, migration difficulties, and possible support and documentation issues are some of the drawbacks of SAP HANA Cloud. With IBM Db2 it is also incredibly safe, effective, and user-friendly. …
Tried tested true and dependable. Main distinguishing factor however is the ongoing time in which it has been relied on, the preference by some stakeholders for ensuring sensitive data security, and its flexibility
Snowflake provides various features, such as integration with Python using Snowpark. The reporting feature that caters to your small reporting needs is Snowsight. The Snowflake data marketplace is where you can get multiple data for free and even some of the data which you can …
These are comparable products that can make sense depending on the specific needs of your organization. All are certainly serviceable and have varying pros and cons. Snowflake seems to provide the greatest degree of flexibility and easy scalability as new data gets brought into …
We needed scalability and a new way of organizing our data; Snowflake allowed us to have a clearer view of our data warehouses and schemas. Snowflake is also way superior in terms of speed and quick insights from the raw data you query, which is very valuable to us.
Snowflake has an attractive pricing model with auto-suspend and auto-resume and pay per use. AWS Redshift requires higher administrative efforts to maintain and scale the platform whereas with Snowflake those admin tasks are not needed or automatically taken care of.
We had a MS SQL server with over 2 TB of ram & 51 processors that we were using, that could no longer handle our workload. Snowflake can handle 3 times that workload with ease and efficiency.
Snowflake is much faster and easier to write queries and pull data. But the visualization part of Snowflake is not as good as them. Also, Snowflake only supports SQL queries but not python or other languages. So basically Snowflake is the expert in its field but not suitable …
We particularly liked Snowflake's security model as well as its unique storage (whereby everything is essentially a pointer to immutable micro-partitions, which is the key behind its zero-copy cloning, its secure sharing, its time travel, etc.). and also how it separates …
While Snowflake is more open to cloud eco system, SAP integrated well with SAP eco system products like SAP ECC or SAP S/4. So for people who have invested heavily in SAP eco system including SAP ECC or S/4, it makes sense to go with SAP DWC which is also evolving very rapidly. …
In my opinion, the other tools have similar and some different features; however, when I ran proof of technologies between Synapse and Snowflake. Snowflake did things better or just had functionality that the other tools did not. One that stuck out at the time was scale up …
Each of the other solutions were cloud vendor specific, Snowflake can ride on either Amazon Web Services, Microsoft Azure, or Google Cloud. The fact that they are ANSI-sql compliant and have an effective means of offloading data makes them portable and easy to sell to teams …
Azure and Snowflake compared very similarly, but Snowflake provided more options to integrate and connect with tools/companies that were not partners. It seemed to be a more flexible environment. The barrier for entry on Oracle and Google we just too complicated. In particular, …
I have had the experience of using one more database management system at my previous workplace. What Snowflake provides is better user-friendly consoles, suggestions while writing a query, ease of access to connect to various BI platforms to analyze, [and a] more robust system …
Snowflake has won the match because it is giving an excellent performance with its efficient features and reliable results. This is a totally secure program for our precious and important data.
Our initial data warehousing solution was Treasure Data. We had issues with the costly pricing model, which would be exhorbitant if we want to hold our data in memory and query using Presto. As a result, some heavy lifting was done in Hive (managed by Treasure Data); …
In my experience running the data management practice at InterWorks, we believe that cloud data warehouse products will eventually serve the majority of data warehousing use cases and power data analytics at most companies. Of this cohort, we believe that Snowflake is the best …
Redshift compute and storage can be scaled up/down together (though they added some features recently, they don't quite add up). I haven't tried Avalanche or Firebolt but would love to in the near future, due to their pedigree or revolutionary billing methods.
- Cost was the main aspect on the decision. - Performance was in par or better compared to other tools in the market. - Snowflake in my opinion stacks better than other tools I have used in the past.
Accommodates future data types such as JSON and XML. Scalability is another advantage. Pay per use is beneficial for organizations like yours. Direct connectors with AWS help us to go with it. No limit on user creation and clone data not eating up extra disk space are a few …
Since we switch from amazon redshift to Snowflake, we found Snowflake is much better than redshift in many ways, including the data integrate and data pull. However, comparing directly pull data from amazon s3, Snowflake is quite slow in terms of data pull speed and the more …
Compared to Amazon Redshift, Snowflake is slightly easier and faster to achieve ROI but based on the user's perspective, the two tools have very little difference since both are leveraging SQL to pull data from AWS S3. Snowflake is also working with Microsoft Azure but it is …
Our issue with Redshift was that it was very expensive. On top of that, queries were still slow and if we used more of Redshift's memory, then it would have cost even more. Snowflake is not cheap, but less costly for us. Plus, the performance was much better. Also, we got to …
I have primarily used it as the basis for a SIS - but I have migrated more than a few systems from there database systems to DB2 (Filemaker, MySQL, etc.). DB2 does have a better structural approach, as opposed to Filemaker, which allows for more data consistency, but this can also lead to an inflexibility that can sometimes be counterintuitive when attempting to compensate for the flexibility of the work environment as Schools tend to have an all in one approach.
If you need a quick query, snowflake is the way to go. It's super simple and scalable; we were struggling before with Azure, and with Snowflake, everything runs smoothly, and we have more control over our schemas and warehouses. Snowflake, in my opinion, is the next step when you want to scale your business and manage data. If your company is still small, there may be cheaper options.
DB2 maintains itself very well. The Task Scheduler component of DB2 allows for statistics gathering and reorganization of indexes and tables without user interaction or without specific knowledge of cron or Windows Task Scheduler / Scheduled jobs.
Its use of ASYNC, NEARSYNC, and SYNC HADR (High Availability Disaster Recovery ) models gives you a range of options for maintaining a very high uptime ratio. Failover from PRIMARY to SECONDARY becomes very easy with just a single command or windowed mouse click.
Task Scheduler ( DB2 9.7 and earlier ) allows for jobs to be run within other jobs, and exit and error codes can define what other jobs are run. This allows for ease of maintenance without third party softwares.
Tablespace usage and automatic storage help keep your data segmented while at rest, making partitioning easier.
Ability to run commands via CLI (Command Line Interface) or via Control Center / Data Studio ( DB2 10.x+) makes administration a breeze.
Snowflake scales appropriately allowing you to manage expense for peak and off peak times for pulling and data retrieval and data centric processing jobs
Snowflake offers a marketplace solution that allows you to sell and subscribe to different data sources
Snowflake manages concurrency better in our trials than other premium competitors
Snowflake has little to no setup and ramp up time
Snowflake offers online training for various employee types
Do not force customers to renew for same or higher amount to avoid loosing unused credits. Already paid credits should not expire (at least within a reasonable time frame), independent of renewal deal size.
The DB2 database is a solid option for our school. We have been on this journey now for 3-4 years so we are still adapting to what it can do. We will renew our use of DB2 because we don’t see. Major need to change. Also, changing a main database in a school environment is a major project, so we’ll avoid that if possible.
SnowFlake is very cost effective and we also like the fact we can stop, start and spin up additional processing engines as we need to. We also like the fact that it's easy to connect our SQL IDEs to Snowflake and write our queries in the environment that we are used to
You have to be well versed in using the technology, not only from a GUI interface but from a command line interface to successfully use this software to its fullest.
The interface is similar to other SQL query systems I've used and is fairly easy to use. My only complaint is the syntax issues. Another thing is that the error messages are not always the easiest thing to understand, especially when you incorporate temp tables. Some of that is to be expected with any new database.
I have never had DB2 go down unexpectedly. It just works solidly every day. When I look at the logs, sometimes DB2 has figured out there was a need to build an index. Instead of waiting for me to do it, the database automatically created the index for me. At my current company, we have had zero issues for the past 8 years. We have upgrade the server 3 times and upgraded the OS each time and the only thing we saw was that DB2 got better and faster. It is simply amazing.
The performances are exceptional if you take care to maintain the database. It is a very powerful tool and at the same time very easy to use. In our installation, we expect a DB machine on the mainframe with access to the database through ODBC connectors directly from branch servers, with fabulous end users experience.
Easily the best product support team. :) Whenever we have questions, they have answered those in a timely manner and we like how they go above and beyond to help.
We have had terrific experiences with Snowflake support. They have drilled into queries and given us tremendous detail and helpful answers. In one case they even figured out how a particular product was interacting with Snowflake, via its queries, and gave us detail to go back to that product's vendor because the Snowflake support team identified a fault in its operation. We got it solved without lots of back-and-forth or finger-pointing because the Snowflake team gave such detailed information.
With the other two mentioned above, I needed to have processes and frameworks that executed outside of the environment driving DB management operations. Yes, these are completely different solutions; however, the support you get for framework, library, and language support allows for runtime at a different layer than with other solutions.
Snowflake provides various features, such as integration with Python using Snowpark. The reporting feature that caters to your small reporting needs is Snowsight. The Snowflake data marketplace is where you can get multiple data for free and even some of the data which you can buy according to your needs. And the integration options with various tools like Sigma are add-ons.
DB2 can be configured and can work with a variety of applications as opposed to how it was designed initially to only with with IBM mainframes. It's easy implementation process makes it a good buy for many organizations to scale their applications to be the best in terms of versatility, resilience and application performance