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 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."
"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."
"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."
"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."
"Vertica is a columnar database, this support our developments in analytics, advanced analytics, and ETL process with large sets of data."
"The most valuable feature is Vertica's performance and the ease of using the database."
"We are also opening new areas of business and potential new revenue streams using Vertica's analytic functions, most notably geospatial, where we are able to run billions of comparisons of lat/long point locations against polygon and point/radius locations in seconds. "
"I enjoy the cybersecurity and backup features."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"Eighty percent of the ETL operations have improved since implementing this solution."
"The solution is quick, has good compression data, and is not expensive."
"Initiate on one node, and the RPM propagates automatically to all other nodes. "
"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."
"I've tried both on-premises and cloud-based deployments, and each has its limitations."
"The error logging capability can be improved because the logs are not very informative."
"The solution's UI can be more user-friendly."
"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."
"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."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be."
"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."
"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."
"They could improve the integration and some of the features in the cloud version."
"Suboptimal projection design causes queries to not scale linearly."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
"They could improve on customer service."
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 Oracle Exadata. See our InfluxDB vs. Vertica report.
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