If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
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Based on my experience, Splunk is a strong git for some environments and a poor match for others. The distinction is primarily based on infrastructure complexity and budget. It's perfect for large enterprises with a mix of on-prem/cloud infrastructure. It's not a perfect match for small teams with restricted resources.
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[Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
[Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
[Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
[Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.
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Writes Powerful Queries: The queries that can be written using the Splunk Query Language are very powerful and highly customizable to meet every need. Ex: Writing queries to search the intersection of two different sources like Network and Endpoint Logs.
Offers Dashboard Abilities: Helps build complex panels for Dashboards in addition to providing several out-of-the-box panels. Ex: creating panels to calculate the performance of analysts in a given timezone.
Helpful Search Aids: It helps to set up complex custom alerts very easily. The interesting fields section is very helpful while threat hunting. Ex: It shows all the users and the frequency of each in a failed login event. The user list on the interesting fields is useful to look for suspicious logins.
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've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.
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
Improved User Interface Customization: While the interface is generally intuitive, providing more options for users to customize their dashboards and views would enhance the overall user experience. Tailoring the interface to specific roles or use cases could be a valuable addition.
Simplified Alert Management: Streamlining the process of managing alerts, such as grouping or categorizing them based on severity or type, would make it easier for security teams to prioritize and respond to incidents effectively.
Expanded Threat Intelligence Feeds: Increasing the variety and sources of threat intelligence feeds available within ES would provide a broader context for identifying and mitigating emerging threats, ensuring a more comprehensive defense against evolving attack vectors.
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
Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
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
Maintaining hundreds or even 1000+ SOC use cases is really difficult, considering that the Data sources may not always send the data. A module that detects data freshness issues and detect data format changes would be a great help. the main challenge today using Splunk Enterprise Security is making sure that the detection rules are still working properly given all the changes that occur in data source applications. Also, maintaining the data collects on tens of thousands of servers and more than 100k workstations is a real company IT challenge: the splunkbase forwarder may not support old OS anymore, while these are the most important to monitor. Moving to the Open Telemetry collector has become essential so that only 1 agent is required for both SIEM and application observability.
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
It takes a long time for items to load if you are just generally searching through logs. It is best to use the data models which load faster but can be strange in terms of what is coming from which logs where. Yes, you can look it up, but this also requires familiarity with where things are and how to look them up.
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 was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support
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It's good when it's responsive, but I've had times where I had to wait quite a while for a response. But these are typically the exceptions rather than the rule. When you do get a response it is always well-informed and appropriate. I would say they've been trending better over time with this.
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 experienced only on-line training, but the trainers were very professional and competent. Maybe it could be more useful if they also have an experience in projects because sometimes they didn't have a real project experience to communicate to the students. Anyway, it was very interesting and I learned many thing that's very difficoult (or maybe impossible!) to have by myself, aven if I have more than 10 years of Splunk activity experience.
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
It was very interesting and I learned many thing that's very difficoult (or maybe impossible!) to have by myself. The only problem was that, when I worked with the Splunk Professional Services, I found some difference between the training contents and the information from PS. In addition is required a long experience on Splunk Enterprise for the data ingestion part, in other words I'm able to work with ES because I'm worling on Splunk since 11 years, otherwise I'd some problem.
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
Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS). Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again. Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
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
Splunk enterprise is the only solution that we’ve been able to identify that provides risk based alerting, which allows our SOC to reduce analyst fatigue which would be a huge problem without it. Before RBA, there were thousands of alerts a day and it was impossible to review all of them
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
Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.
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
for my exterience, unit pricing and billing frequency are correct. As I already said, I hint to have more discount flexibility, expecially with new customers, because there are competitors less expensive and very aggressive that are dangerous. In addition the possibility to don't pay the license for the development period could be a very interesting feature for the final customers.
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
- 8 out of 10 and took 2 for the data pipeline and administration part. Even if you'd like to improve yourself or your team, you have to pay a lot of money and it could be more than GIAC education + cert. - Normalization for Data models and CPU-based searches can be a problem sometimes.
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 had a fantastic experience with Splunk Professional Services: they worked with us in our last SON project (a SOC migration for a very large customer) and helped to build a multi tenent environment even if ES isn't a multi tenant platform. Th Splunk PS was a very professional and competent people, he is italian and was able to speak with our italian customers.
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
Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.
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 have a 100% success rate on all our ES implementations due to the amazing documentation and Splunk enablement on the subject.
Our Splunk ES business has grown 100% YoY for the last 3 years.
In terms of long term management and maintenance, ES has been highly stable and predictable, reducing our overhead on costly services team for ad hoc maintenance work.
