Oracle's Corporate Performance Management suite was acquired from Hyperion in 2007. Hyperion customers are encouraged to migrate to Oracle Fusion Cloud EPM.
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SingleStore
Score8.2 out of 10
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SingleStore aims to enable organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads in one unified platform.
Well suited: For use in multiple offices around the world. I was able to obtain financial reporting data from 5 foreign offices and then consolidate their data with 3 domestic USA offices to prepare a consolidated financial statement. Less Appropriate: Translating the financial value for consulting services could be a bit challenging because that required human interaction and judgement. It would have been great to be able to set up some software to be able to interpret this and let it run for all future project work revenue projection.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Good for Applications needing instant insights on large, streaming datasets. Applications processing continuous data streams with low latency. When a multi-cloud, high-availability database is required When NOT to Use Small-scale applications with limited budgets Projects that do not require real-time analytics or distributed scaling Teams without experience in distributed databases and HTAP architectures.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
This product handles budgeting by Employee and/or Position very well. It is highly flexible and allows Hyperion administrators the ability to develop a planning application that fits a variety of different business needs.
It is great at calculating benefits using business rules to automate the population of these fringe costs in the overall budget planning process. This greatly reduces user error.
It allows you to seed the operating budget based on changes to key drivers, such as percentage increases, flat dollar increases and more detailed changes using business rules.
Allows visibility into the plans for each unit across the organization, rolled up into an overall budget for the campus.
It handles the creation of budgets with multiple chartfield segments or dimensions, which most other budgeting systems cannot handle well. It can aggregate these very quickly.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
One pain point for us is the consolidation and translation process. Needing to translate the data over and over again is frustrating and there is no visibility into how many users are running a translation. If multiple users attempt to translate the same data set, say goodbye to your performance but you have no way of knowing! (Unless you want to pull up a task audit which is not a very realistic expectation). It has the been the quickest way for us to bring the system to it's knees. The consolidation process performs in direct correlation to the complexity of the calculation/consolidation rules. So, while the product is extremely flexible, you still have to be careful how you design your rules and calculations to make sure that you do it on the smallest subset of data as possible to avoid large processing times. This makes sense, but requires some significant expertise that most organizations do not have in-house.
The Hyperion Financial Reporting product is ridiculously outdated and clunky to use. The interface for designing reports is not intuitive, and not easy to modify once a report is built. I think there must be a strategic decision to move away from it and go to something more like Oracle BI because I just can't understand why in the world they don't update the reporting product. It also requires a significant level of expertise to be able to use. Not a great solution at all if you want multiple end-users to create reports in something other than Excel. Nobody except the HFM admin (which I used to be) in our company even touches this module.
Another pain point is the amount of IT support that is required to run this thing, and again, specialized knowledge of Hyperion products and how they work is required for IT to adequately support it. This goes for application servers and the Oracle database that the applications are running on.
It does not release a patch to have back porting; it just releases a new version and stops support; it's difficult to keep up to that pace.
Support engineers lack expertise, but they seem to be improving organically.
Lacks enterprise CDC capability: Change data capture (CDC) is a process that tracks and records changes made to data in a database and then delivers those changes to other systems in real time.
For enterprise-level backup & restore capability, we had to implement our model via Velero snapshot backup.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We're in the middle of the road because we are not sure that other products on the market fit the bill for what we need yet. Hyperion is expensive and burdensome from an administrator and maintenance standpoint, but it still seems to be the best solution for what we need. Show us an equally capable SaaS consolidation product and we'll talk again.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
[Until it is] supported on AWS ECS containers, I will reserve a higher rating for SingleStore. Right now it works well on EC2 and serves our current purpose, [but] would look forward to seeing SingleStore respond to our urge of feature in a shorter time period with high quality and security.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Solutions are based around a business needs and even when implementing such solution, real time insights are also followed through showing the updates the business are implementing while informing the end users as what is new with technology.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
SingleStore excels in real-time analytics and low-latency transactions, making it ideal for operational analytics and mixed workloads. Snowflake shines in batch analytics and data warehousing with strong scalability for large datasets. SingleStore offers faster data ingestion and query execution for real-time use cases, while Snowflake is better for complex analytical queries on historical data.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The premium support team provides much needed dedicated customer service which we are after for what we have paid for this service. We are satisfied with the service and support and do not have any instance where there was an issue that requires escalation to get the right support team. Though the incidence of major issues that requires the premium support are less, we prefer to keep this as a safety net.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The support deep dives into our most complexed queries and bizarre issues that sometimes only we get comparing to other clients. Our special workload (thousands of Kafka pipelines + high concurrency of queries). The response match to the priority of the request, P1 gets immediate return call. Missing features are treated, they become a client request and being added to the roadmap after internal consideration on all client needs and priority. Bugs are patched quite fast, depends on the impact and feasible temporary workarounds. There is no issue that we haven't got a proper answer, resolution or reasoning
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We allowed 2-3 months for a thorough evaluation. We saw pretty quickly that we were likely to pick SingleStore, so we ported some of our stored procedures to SingleStore in order to take a deeper look. Two SingleStore people worked closely with us to ensure that we did not have any blocking problems. It all went remarkably smoothly.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I use Oracle Hyperion Enterprise Performance Mangement because the company I work at requires me to use it in the Financial Planning sector as most of their data is stored in it. I am open minded and ready to use other performance management tools created by Oracle if my work permits.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Greenplum is good in handling very large amount of data. Concurrency in Greenplum was a major problem. Features available in SingleStore like Pipelines and in memory features are not available in Greenplum. Gemfire was not scaling well like SingleStore. Support of both Greenplum and Gemfire was not good. Product team did not help us much like the ones in SingleStore who helped us getting started on our first cluster very fast.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Oracle Hyperion allows us to automate and consolidate financial data that used to be performed manually in spreadsheets. From that perspective the ROI is huge.
Oracle Hyperion functionality is extensive and allows us to perform most functions for planning, consolidating and reporting on our financial data.
One negative with Oracle Hyperion is that it is complicated to implement and maintain. It takes expertise at all levels (infrastructure and management) to realize the benefits from it.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
As the overall performance and functionality were expanded, we are able to deliver our data much faster than before, which increases the demand for data.
Metadata is available in the platform by default, like metadata on the pipelines. Also, the information schema has lots of metadata, making it easy to load our assets to the data catalog.
