We performed a comparison between InfluxDB and Vertica based on real PeerSpot user reviews.
Find out in this report how the two NoSQL Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The solution is very powerful."
"The user interface is well-designed and easy to use. It provides a clear overview of the data, making it simple to understand the information at hand."
"The most valuable feature of the solution is we can use InfluxDB to integrate with and plug into any other tools."
"The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."
"InfluxDB's best feature is that it's a cloud offering. Other good features include its time-series DB, fast time-bulk queries, and window operations."
"In our case, it started with a necessity to fill the gap that we had in monitoring. We had very reactive monitoring without trend analysis and without some advanced features. We were able to implement them by using a time series database. We are able to have all the data from applications, logs, and systems, and we can use a simple query language to correlate all the data and make things happen, especially with monitoring. We could more proactively monitor our systems and our players' trends."
"The most valuable features are aggregating the data and integration with Graphana for monitoring."
"InfluxDB is a database where you can insert data. However, it would be best if you had different components for alerting, data sending, and visualization. You need to install tools to collect data from servers. It must be installed on Windows or Linux servers. During installation, ensure that the configuration file is correct to prevent issues. Once data is collected, it can be sent to InfluxDB. For visualization, you can use open-source tools like Grafana."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"It maximize cloud economics for mission-critical big data analytical initiatives."
"Speed and resiliency are probably the best parts of this product."
"Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation."
"Allows us to take volumes and process them at a very high speed."
"The most valuable feature of Vertica is the unmatchable database performance."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"Vertica is a great product because customers can compress and code data. The infrastructure that data warehouse solutions need is a commodity server so that customers don't have to invest in infrastructure."
"The solution doesn't have much of a user interface."
"The solution's UI can be more user-friendly."
"InfluxDB cannot be used for high-cardinality data. It's also difficult and time-consuming to write queries, and there are some issues with bulk API."
"The error logging capability can be improved because the logs are not very informative."
"InfluxDB can improve by including new metrics on other technologies. They had some changes recently to pool data from endpoints but the functionality is not good enough in the industry."
"I've tried both on-premises and cloud-based deployments, and each has its limitations."
"In terms of features that I would like to see or have, in the community version, some features are not available. I would like to have clustering and authentication in the community version."
"InfluxDB is generally stable, but we've encountered issues with the configuration file in our ticket stack. For instance, a mistake in one of the metrics out of a hundred KPIs can disrupt data collection for all KPIs. This happens because the agent stops working if there's an issue with any configuration part. To address this, it is essential to ensure that all configurations are part of the agent's EXE file when provided. This makes it easier to package the agent for server installation and ensures all KPIs are available from the server. Additionally, the agent cannot encrypt and decrypt passwords for authentication, which can be problematic when monitoring URLs or requiring authentication tokens. This requires additional scripting and can prolong service restart times."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
"We faced some challenges when trying to use the temporary tables feature."
"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."
"It would be great if this were a managed service in AWS."
"The biggest problem is the cost of cloud deployment."
"It needs integration with multiple clouds."
"The integration of this solution with ODI could be improved."
"Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible."
InfluxDB is ranked 3rd in NoSQL Databases with 8 reviews while Vertica is ranked 4th in Data Warehouse with 83 reviews. InfluxDB is rated 7.6, while Vertica is rated 8.2. The top reviewer of InfluxDB writes "A powerful, lightweight time series database with a simple query language and easy setup". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". InfluxDB is most compared with MongoDB, Cassandra, Netdata, ScyllaDB and Cloudera Distribution for Hadoop, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and BigQuery. See our InfluxDB vs. Vertica report.
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