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 most valuable features are aggregating the data and integration with Graphana for monitoring."
"The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."
"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."
"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 feature of the solution is we can use InfluxDB to integrate with and plug into any other tools."
"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."
"The solution is very powerful."
"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."
"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."
"The most valuable feature is Vertica's performance and the ease of using the database."
"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."
"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."
"Speed and resiliency are probably the best parts of this product."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"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."
"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 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."
"The solution's UI can be more user-friendly."
"I've tried both on-premises and cloud-based deployments, and each has its limitations."
"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 solution doesn't have much of a user interface."
"The error logging capability can be improved because the logs are not very informative."
"We faced some challenges when trying to use the temporary tables feature."
"I believe the installation process could be streamlined."
"Fact-to-fact joins on multi-billion record tables perform poorly."
"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."
"Suboptimal projection design causes queries to not scale linearly."
"It needs integration with multiple clouds."
"Very bad support, I would rate it two out of 10."
"Whatever's out, the core is not always as great as the engine, especially their first version."
InfluxDB is ranked 3rd in NoSQL Databases with 8 reviews while Vertica is ranked 4th in Data Warehouse with 82 reviews. InfluxDB is rated 7.6, while Vertica is rated 8.4. 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 Oracle Exadata. See our InfluxDB vs. Vertica report.
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