Claris' FileMaker is presented as a Workplace Innovation Platform, and is used to create a custom app. Manual processes can be automated with Claris FileMaker Pro, and apps can be created to manage contacts, track inventory, organize projects, etc.
$21
per month per user
ClickHouse
Score 6.9 out of 10
N/A
ClickHouse is an open-source, column-oriented OLAP database system enabling real-time analytical reports using SQL queries. With linear scalability, it handles trillions of rows and petabytes of data. ClickHouse Cloud offers a scalable serverless solution for real-time analytics.
N/A
MongoDB
Score 8.9 out of 10
N/A
MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.
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Pricing
Claris FileMaker
ClickHouse
MongoDB
Editions & Modules
Platform Subscription
$21
per month per user
Individual desktop license
$594
one-time fee
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Shared
$0
per month
Serverless
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Dedicated
$57
per month
Offerings
Pricing Offerings
Claris FileMaker
ClickHouse
MongoDB
Free Trial
No
Yes
Yes
Free/Freemium Version
No
Yes
Yes
Premium Consulting/Integration Services
No
Yes
No
Entry-level Setup Fee
No setup fee
Optional
No setup fee
Additional Details
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Pay for what is used:
It automatically scales up and down compute resources based on the user's workload
It scales storage and compute separately
It automatically scales unused resources down to zero so that users don’t pay for idle services
Fully managed, global cloud database on AWS, Azure, and GCP
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Claris FileMaker
ClickHouse
MongoDB
Considered Multiple Products
Claris FileMaker
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ClickHouse
Verified User
Engineer
Chose ClickHouse
ClickHouse was not compared to them as a competitor but as the ideal partner to complete an information analysis system, providing users with the most complete and efficient tools. Therefore, in this case it was considered that it would be the ideal candidate due to its …
If your company is really small, I can understand the need for a product like this. However, I would go for MS Access... FileMaker Pro can not be integrated with other systems (like MS Access can at least be handled by C# for instance, and can be integrated with MS Excel or even SQL server). I'm really not sure in what scenario one would choose for FileMaker Pro. If your application or company grows bigger, you're going to have a problem to move to another environment. Also, the fact that only one person can work with the backend at any given time is a problem in a somewhat larger company.
The most important thing when using ClickHouse is to be clear that the scenarios in which you want to use it really are the right ones. Many users think that when a database is very fast for a specific use case, it can be extrapolated to other contexts (most of the time different) in which a previous analysis has not been carried out.
ClickHouse is an analytical database, as such, it should be used for such purposes, where the information is stored correctly, the data volumes are really large and the queries to be performed are not the typical traditional queries on several columns with multiple aggregations. ClickHouse is not the solution for this.
On the other hand, if your case is not one of the above, it is quite possible that ClickHouse can help you. Where ClickHouse shines is when you are looking for aggregation over a particular column in large volumes of data.
If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
The relational database management system makes the program highly customizable to fit the needs of any product. You can add a ton of information to each record and update your inventory on a regular basis with an Excel import or manually inside of the record. It has the capability to incorporate barcoding, which can manage your available inventory with ease.
The scripting language allows FileMaker to automatically calculate complex algorithms automatically or generate report outs with the click of a button. This allows for greater UI, especially with active users who are not familiar with writing code. Almost all of our internal data is linked to the FileMaker database
The server license allows many users to update the database in real time, which is handy if your inventory is constantly changing. We have users with Macs, PCs, iPhones and handheld tablets linked to our FileMaker database and they are updating the information constantly throughout the day.
If you invest some time into formatting and scripting the database, there is a high ease of use for users without knowledge of any programming or FileMaker itself.
Their MergeTree table engine provide impressive performance for data insert in bulk
Not only data insert but also the way MergeTree engine uses Primary Keys to sort the data and perform data skipping based on the granules its also their secret for ridiculous fast queries
Data compression its also great
They provide especial table engines that allow you to read data directly from other sources like S3
Since its written with C++ you have very granular data types and especial ones like enum, LowCardinality and etc, they save you a lot of storage since are stored as integer values
ClickHouse functions besides the ones that respect ANSI Standards are also awesome and useful
Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
Developer features need to be beefed up - namely adding the ability to search code for a phrase or keyword and the ability to do the same in the "relationship graph" in the database.
Add ability for users to edit the same table record at the same time by version control.
Allow Filemaker Server to use more than 1 core; currently multi-processing is not supported and it can be tricky to find just the right server to support the application you've built to the fullest capacity.
An aggregate pipeline can be a bit overwhelming as a newcomer.
There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
It it not really up to me but my opinion does have some weight in the decision and the reason I would renew my use FileMaker Pro 8.5 is because I am finally getting used to it! Now that I have been working with the program, tasks have become quicker and projects are getting done faster. File Maker Pro 8.5 really is a versatile tool and I think we are just scratching the surface with it's abilities.
I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
It's almost what it should be after so may years and with Apple's longevity and strength behind it. For people who earn their living based on efficiency I think there are too many developer obstacles that waste time and therefore money.
NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
The forums are great with lots of helpful experts and the staff monitor them to provide help where needed. There have been a couple of unique technical issues I've had to deal with that I haven't been able to get resolved so I chose to score this a 9 instead of a 10.
Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
Suggest you use an iterative R.A.D. or AGILE development approach. (i.e. rather than writing a gigantic spec for a system, then building it). FileMaker facilitates quick prototypes. Developing an example, then allowing users to "try it out" is a snap.
While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
FileMaker is still the quickest way to go from zero to having a minimum viable working solution. Simple solutions can be built in as little as a afternoon of development. It is the only tool I am aware of which allows tech savy end users with domain knowledge to build bespoke apps for their businesses without undertaking professional software development training.
ClickHouse outperforms, especially in costs, since its compression/indexing engines are so smart, and even with very low computing power, you can already perform huge analyses of the data.
We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
We are a more agile company because of FileMaker. A few of us who are tech-savvy enough to manage the database (but are not professional developers) can make needed adjustments to our database without having to employ an in-house developer or contract with a 3rd party. As our business processes evolve and change, it's easy to update the database to accommodate those changes.
Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
