Azure Synapse Analytics is described as the former Azure SQL Data Warehouse, evolved, and as a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives users the freedom to query data using either serverless or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
$4,700
per month 5000 Synapse Commit Units (SCUs)
Agentforce Sales
Score 8.7 out of 10
N/A
Salesforce' Agentforce Sales (formerly Salesforce Sales Cloud) is the company's flagship CRM platform. The AI CRM for Sales features data built right in.
$25
per month
Snowflake
Score 8.7 out of 10
N/A
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.
N/A
Pricing
Azure Synapse Analytics
Salesforce Agentforce Sales
Snowflake
Editions & Modules
Tier 1
$4,700
per month 5,000 Synapse Commit Units (SCUs)
Tier 2
$9,200
per month 10,000 Synapse Commit Units (SCUs)
Tier 3
$21,360
per month 24,000 Synapse Commit Units (SCUs)
Tier 4
$50,400
per month 60,000 Synapse Commit Units (SCUs)
Tier 5
$117,000
per month 150,000 Synapse Commit Units (SCUs)
Tier 6
$259,200
per month 360,000 Synapse Commit Units (SCUs)
Starter
$25.00
per month per user
Professional
$80.00
per month per user
Enterprise
$165.00
per month per user
Unlimited
$330.00
per month per user
Agentforce 1 Sales
$550
per month per user
No answers on this topic
Offerings
Pricing Offerings
Azure Synapse Analytics
Agentforce Sales
Snowflake
Free Trial
No
Yes
Yes
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
Optional
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Azure Synapse Analytics
Salesforce Agentforce Sales
Snowflake
Considered Multiple Products
Azure Synapse Analytics
Verified User
Consultant
Chose Azure Synapse Analytics
When client is already having or using Azure then it’s wise to go with Synapse rather than using Snowflake. We got a lot of help from Microsoft consultants and Microsoft partners while implementing our EDW via Synapse and support is easily available via Microsoft resources and …
Director, eCommerce Analytics and Digital Marketing
Chose Azure Synapse Analytics
Azure Synapse Analytics stacks up well against the competitors I mentioned above. Technically, Azure SQL Datawarehouse is an upgraded version of the Azure SQL Database. So, the choice to move from one to the other depends on the processing needs of your company. If you need …
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 …
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 …
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 …
It's well suited for large, fastly growing, and frequently changing data warehouses (e.g., in startups). It's also suited for companies that want a single, relatively easy-to-use, centralized cloud service for all their data needs. Larger, more structured organizations could still benefit from this service by using Synapse Dedicated SQL Pools, knowing that costs will be much higher than other solutions. I think this product is not suited for smaller, simpler workloads (where an Azure SQL Database and a Data Factory could be enough) or very large scenarios, where it may be better to build custom infrastructure.
Obviously, for any business, there are two main areas to focus on — the sales path and the service path. Sales Cloud wouldn’t be suited for a company that’s primarily into support services. For those kinds of companies, Salesforce has a different product — Service Cloud. So, for anyone in the support or service space, Sales Cloud isn’t the right fit.
Snowflake is well suited when you have to store your data and you want easy scalability and increase or decrease the storage per your requirement. You can also control the computing cost, and if your computing cost is less than or equal to 10% of your storage cost, then you don't have to pay for computing, which makes it cost-effective as well.
Quick to return data. Queries in a SQL data warehouse architecture tend to return data much more quickly than a OLTP setup. Especially with columnar indexes.
Ability to manage extremely large SQL tables. Our databases contain billions of records. This would be unwieldy without a proper SQL datawarehouse
Backup and replication. Because we're already using SQL, moving the data to a datawarehouse makes it easier to manage as our users are already familiar with SQL.
The customizations - We have an organization that operates differently from most companies, so we’ve had to implement quite a few customizations — and Salesforce allows us to do that quite quickly. Most of the time, delays come from dependencies on other internal parties rather than the system itself.
From my perspective as a consultant, one of the biggest advantages is that everything is in Salesforce — all the details, all in one place. The ability to customize it easily is a big plus; there’s really a lot you can do with it.
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
With Azure, it's always the same issue, too many moving parts doing similar things with no specialisation. ADF, Fabric Data Factory and Synapse pipeline serve the same purpose. Same goes for Fabric Warehouse and Synapse SQL pools.
Could do better with serverless workloads considering the competition from databricks and its own fabric warehouse
Synapse pipelines is a replica of Azure Data Factory with no tight integration with Synapse and to a surprise, with missing features from ADF. Integration of warehouse can be improved with in environment ETl tools
We still need to include the production part. We started using Salesforce to sell the seeds — our inventory is in SAP — and from there we handle sales and track the process of planting, harvesting, selling, and then collecting payments. But we don’t yet manage the earlier production processes, like production planning. We handle allocation, but not full production planning, and that’s an area where we still have room for improvement.
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.
There are days when I wish we hadn't switched, but I know that if we put in the time, we will get to where we want to be with the software and that it has many more capabilities than anything else we looked at. However, the amount of time and onboarding we need to do is also far greater than we realized/were told when we originally bought the product. They told us we should hire onboarding support, but at the end, after we had already reached our budget maximum for this, so it's been slower than we had hoped.
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
The data warehouse portion is very much like old style on-prem SQL server, so most SQL skills one has mastered carry over easily. Azure Data Factory has an easy drag and drop system which allows quick building of pipelines with minimal coding. The Spark portion is the only really complex portion, but if there's an in-house python expert, then the Spark portion is also quiet useable.
Because I think it could be easier. We have different standards today since we’re used to interacting with consumer apps like Starbucks, where all you do is scan your card. Then, when you use Sales Cloud, there are still a lot of manual inputs. So my mission with AI is really about figuring out how to make that easier.
Because the fact that you can query tons of data in a few seconds is incredible, it also gives you a lot of functions to format and transform data right in your query, which is ideal when building data models in BI tools like Power BI, it is available as a connector in the most used BI tools worldwide.
Salesforce is always available securely from any internet-capable device anywhere in the world, UNLESS you choose to set security measures so that ONLY trusted IP ranges may access the system at certain times of the day. It's all about choice and flexibility with Salesforce products.
Salesforce performance in general is excellent. "The cloud infrastructure beneath Force.com has been fine-tuned over the past 10 years. It powers nearly 100,000+ businesses running more than 185,000 applications that 3 million users count on every day." Points per Salesforce - 1) Multitenant kernel - With a multitenant platform, each business that uses the app doesn’t have its own copy. Instead, all businesses share a single copy and then customize it for their specific needs. 2) ISO 27001 certified security - You can’t compromise when it comes to enterprise-level security. Force.com is road-tested and trusted by nearly 100,000+ companies, including many of the world’s most security-conscious organizations, such as banks and health care providers. 3) Proven reliability - All Force.com apps run on world-class data centers with backup, failover, and disaster-recovery facilities. Force.com has had a proven 99.9 percent uptime record for years. 4) Proven, real-time scalability - Force.com is used by many of the world's largest enterprises, including Cisco, Japan Post Network, and Symantec. Applications can automatically scale from a few users to millions of page views, as needed. 5) Real-time query optimizer - You need fast access to your data. The Force.com query optimizer delivers under 300ms response time, at a massive scale. 6) Real-time transparent system status - You can always see real-time system performance, availability, and security information at trust.salesforce.com. 7) Real-time upgrades - Unlike traditional software platforms, our upgrades never break your customizations, code, or integrations. We upgrade the platform for you 3 to 4 times each year. As a result, you’re always on the latest version, with access to the latest features, performance, and security enhancements. 8) Real-time sandbox environments - With a single click, you can create copies of your applications, configuration, and data in separate environments for development, testing, and training. 9) Three global production data centers and disaster recovery - Force.com runs on three geographically dispersed, mirrored data centers with built-in replication, disaster recovery, a redundant network backbone, and no single points of failure
Microsoft does its best to support Synapse. More and more articles are being added to the documentation, providing more useful information on best utilizing its features. The examples provided work well for basic knowledge, but more complex examples should be added to further assist in discovering the vast abilities that the system has.
The overall support has been good. More and more features are being released quite frequently. Very small features are also making big difference in how the tool can be adapted and used better. If there is anything we need or are stuck, the support team sets up a call and helps in resolving the issue/provides workarounds.
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.
I attended two training sessions. I would rate them a 4 as an advanced user. It was very basic – great for someone new – would give 8+ for new person.
I had 3 years of experience at the time. I skipped basic and went onto advanced and still not helpful. A lot of it was best practices that didn’t feel relevant for our business
I have gone through multiple. The content that’s delivered is quite basic – I wish they had more advanced training.
We are grandfathered into premium support plus training. We get unlimited access to instructor led and online training for free. We have taken advantage of this
Just from an organizational standpoint - we standardized our data prior to moving to Salesforce. But we essentially standardized it wrong. That's created a big disgusting mess for us know that I'll have to deal with as the Admin. Be sure you think through use cases prior to doing something like that - seek outside opinions on how the data will work best, especially depending on what else you're going to integrate with Salesforce.
In comparing Azure Synapse to the Google BigQuery - the biggest highlight that I'd like to bring forward is Azure Synapse SQL leverages a scale-out architecture in order to distribute computational processing of data across multiple nodes whereas Google BigQuery only takes into account computation and storage.
So I've evaluated, implemented Microsoft Dynamics in the past. I've used Oracle CRM solutions. I've used Daylight, which is a very niche CRM system the last couple of years. And I've evaluated a variety from Legacy Microsoft Ones to Zoho and Sugar when making implementation decisions at other companies. But usually I've gone with Salesforce. I'd say it's better than most. The only one that I generally prefer, and last time I chose an implementation from scratch, I did Microsoft Dynamics. And the reason is for small mid-size organization, Microsoft Dynamics, if you already have Microsoft Office products, it's much better integrated to all of the Excel, Word, OneNote, Outlook email than what you get from Salesforce. And so that's the only one that if someone's a Microsoft organization and small sized company, it'll save a lot of integration things, a lot of security, a lot of login and access and IT management by just sticking within the Microsoft ecosystem. But outside of that, if you don't use Microsoft or if you're a large organization or have other needs that you want, Salesforce I'd say is better than all of the other CRM offerings out there. It's the easiest to use and the most robust and the most vendors and products for the ecosystem.
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 to store a large amount of data. All these functionalities give the better edge to Snowflake.
Salesforce is the most widely used CRM system. Professionalism tends to increase when things go wrong for market leaders. Salesforce considers us as users because they own the market. Having all of our data in one place and all of our teams working within Salesforce. Anyone who uses Salesforce is impacted by it, even if they don't.
It's very scalable as it has a ton of features (but you do need an admin who understands how to leverage these features). Because of the various features, we've also needed to host onboarding sessions with our users so that they can familiarize themselves with the platform, which isn't always super user-friendly or intuitive.
Using Salesforce.com has made my daily routines more efficient and simplified the manual tasks I had to perform independently. I can now access data from any device, online or offline, and provide better guidance to my team about the forecasts provided by the built-in artificial intelligence (AI). A chat with a Salesforce support specialist would be great. The knowledge base has a community forum where Salesforce users can ask questions and learn more about the product.
Licensing fees is replaced with Azure subscription fee. No big saving there
More visibility into the Azure usage and cost
It can be used a hot storage and old data can be archived to data lake. Real time data integration is possible via external tables and Microsoft Power BI
It allows me to keep a close eye on all of my performance metrics through the Dashboard Reporting, ie what my sales pipeline looks like, how much it's changed in the last 60 days, new opportunities created in the last 7 days, # of emails sent for the week, etc. The ease of the design and output make it really easy to check my progress throughout the day to find where I have holes and am falling short on my personal and work goals. It's resulted in greater transparency with my Mgmt Team and shorter 1-on-1 mtgs with my boss as he can see exactly where I am at all times (to be fair, I'm a senior sales rep, so he pretty much lets me do my job completely unfettered), but it does prove that I am continually producing which recently resulted in a raise I didn't even ask for.
The SF repository is so detailed that I don't have to spend tons of time finding frequently used websites attached to a client or see what all interactions with the company look like. Even though I don't use SF for my bulk emails and email sequences, SF provides me with an email to use in the bcc of these emails which links everything back to SF. I find that extremely helpful. This really impacts my efficiency and I can honestly say that once I started using all the functionality of data management, it saved me about 20% of my time/week that I could then allocate towards other revenue-generating tasks like prospecting and account management. The more time I have for those, the better. My year-over-year on accounts 1 year and older just grew by 17% this last year.