InfluxDB vs. meshIQ

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
InfluxDB
Score 9.0 out of 10
N/A
The InfluxDB is a time series database from InfluxData headquartered in San Francisco. As an observability solution, it is designed to provide real-time visibility into stacks, sensors and systems. It is available open source, via the Cloud as a DBaaS option, or through an Enterprise subscription.N/A
meshIQ
Score 8.9 out of 10
Enterprise companies (1,001+ employees)
meshIQ provides observability and management capabilities for middleware platforms, from modern Kafka-based streaming to legacy messaging technologies such as IBM MQ, across cloud and on-premises environments.N/A
Pricing
InfluxDBmeshIQ
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
InfluxDBmeshIQ
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
InfluxDBmeshIQ
Considered Both Products
InfluxDB
Chose InfluxDB
We have looked around to find different options we had when we first started to move to cloud. At that time, the options we had is Google Cloud BigTable and InfluxDB. But quickly we realized that InfluxDB is the database specialized in time series database and performs better …
Chose InfluxDB
InfluxDB is much easier to initially setup and scale compared to Graphite (now known as Whisper). With a smaller team we found Graphite too much overhead that would make operational support a significant blocker or generation of technical debt.
Chose InfluxDB
To be honest, I didn't look at alternatives since InfluxDB performs very well if you can oversee the lack of security and HA features. But for all challenges, there is an easy solution which brings you forward (e.g. read load balancing can be achieved by using a common HTTPS …
meshIQ

No answer on this topic

Best Alternatives
InfluxDBmeshIQ
Small Businesses

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InfluxDB
InfluxDB
Score 9.0 out of 10
Medium-sized Companies

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Logz.io
Logz.io
Score 8.4 out of 10
Enterprises

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NetBrain Technologies
NetBrain Technologies
Score 8.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
InfluxDBmeshIQ
Likelihood to Recommend
9.0
(0 ratings)
9.0
(0 ratings)
Likelihood to Renew
9.1
(0 ratings)
-
(0 ratings)
Support Rating
9.0
(0 ratings)
-
(0 ratings)
User Testimonials
InfluxDBmeshIQ
Likelihood to Recommend
InfluxDB is a time series database and should be used in that intent. Each data ingestion streams should be properly configured to ensure optimal database performance. InfluxDB works very well but like any other databases requires maintenance and tuning. We have been using the TICK stack and are very happy with the results.
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If you're involved in any business that is related to banking, insurance and lending industry, take the short way and save yourself from thousands of wasted dollars on fraud detection and application management issues, Nastel is my savior and it's the most powerful killer solution to beat the fraud and have a winning application performance management, It's like hiring a mathematics magician with super powers to help businesses get over the delayed amount of time spent on a problem, and the average time to process a claim, reduce errors and most importantly to decrease the number of tickets at the help center for a better and higher customer satisfaction score.
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Pros
  • Time series data
  • Very fast queries
  • Many options to configure and tune database
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  • Its ability to detect and correct IBM MQ issues before they effect the production.
  • performance trends and statistics in real-time.
  • Rapid and accurate monitoring of Command Servers, Dead Letter Queues, Queue Managers, Qdepth and Listeners.
  • Built-in complex event processing to gain valuable visibility into order fulfillment processes
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Cons
  • Small, but growing community - This database engine's community is much smaller than alternatives. This can make finding a DBA or support less easy, but not impossible.
  • Documentation could be improved - The docs for getting started don't effectively lead first-time users to understand how the underlying systems are designed.
  • Performance Analysis - There seems to be a lack of tools to give context to slow queries or other performance issues
  • Out-of-the-box security - The out of the box security is designed to operate in an internal network and is limited.
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  • The UI needs a lot of improvements to meet today's standards while keeping the functional part highly performing as it used to be
  • Being unable to run reports through the workgroup security manager is a serious con, I think they need to consider giving it more attention
  • the auto-monitoring feature performance goes low when it's enabled during a heavy workloads, it leads to a lower/heavier performance, but during the latest update I feel it got lighter somehow.
  • They also need to give more attention to the encryption and enhance it with the latest encryption technologies
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Likelihood to Renew
InfluxDB is a near perfect product for time series database engines. The relatively small list of cons are heavily outweighed by it's ability to just work and be a very flexible and powerful database engine. The community and support provided by the corporation are the only areas I have little experience.
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No answers on this topic
Support Rating
We have worked with the InfluxDB support team a few times so far and it has been positive. Issues submitted are worked on promptly and we have good feedback.
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No answers on this topic
Alternatives Considered
We have looked around to find different options we had when we first started to move to cloud. At that time, the options we had is Google Cloud BigTable and InfluxDB. But quickly we realized that InfluxDB is the database specialized in time series database and performs better than other options we have.
Read full review
No answers on this topic
Return on Investment
  • Provided us a time series DB.
  • With the SQL-like language, it is very easy to learn.
  • Empowered us to keep track of our events.
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  • A reduction in point of sale abandonment by 70% reflects the change in mindset of customers who are no longer irritated by price anomalies.
  • The company was able to merge many unnecessary servers due to thousands of useless queues it had, resulting in yearly savings of more than $250,000
  • improved efficiency and cost-savings by 80% within the first 2 months
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ScreenShots

meshIQ Screenshots

Screenshot of meshIQ Apache Active MQ, Artemis, CamelScreenshot of MeshIQ Apache KafkaScreenshot of meshIQ B2B Flow IntelligenceScreenshot of meshIQ Apache Active MQ, Artemis, CamelScreenshot of meshIQ Platform