Logstash vs. Talend Data Integration

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Logstash
Score 7.6 out of 10
N/A
N/AN/A
Talend Data Integration
Score 7.9 out of 10
N/A
The Talend Integration Suite, from Talend, is a set of tools for data integration.N/A
Pricing
LogstashTalend Data Integration
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
LogstashTalend Data Integration
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
LogstashTalend Data Integration
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Logstash
-
Ratings
Talend Data Integration
8.2
9 Ratings
0% below category average
Connect to traditional data sources00 Ratings8.99 Ratings
Connecto to Big Data and NoSQL00 Ratings7.68 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Logstash
-
Ratings
Talend Data Integration
8.9
9 Ratings
6% above category average
Simple transformations00 Ratings8.99 Ratings
Complex transformations00 Ratings8.99 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Logstash
-
Ratings
Talend Data Integration
7.9
9 Ratings
3% below category average
Data model creation00 Ratings7.28 Ratings
Metadata management00 Ratings8.08 Ratings
Business rules and workflow00 Ratings8.87 Ratings
Collaboration00 Ratings5.58 Ratings
Testing and debugging00 Ratings8.89 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Logstash
-
Ratings
Talend Data Integration
7.8
8 Ratings
5% below category average
Integration with data quality tools00 Ratings7.68 Ratings
Integration with MDM tools00 Ratings8.08 Ratings
Best Alternatives
LogstashTalend Data Integration
Small Businesses
SolarWinds Papertrail
SolarWinds Papertrail
Score 8.8 out of 10
Skyvia
Skyvia
Score 9.6 out of 10
Medium-sized Companies
SolarWinds Papertrail
SolarWinds Papertrail
Score 8.8 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
Enterprises
Splunk Log Observer
Splunk Log Observer
Score 8.7 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
LogstashTalend Data Integration
Likelihood to Recommend
10.0
(3 ratings)
8.3
(18 ratings)
Usability
-
(0 ratings)
9.0
(1 ratings)
Support Rating
-
(0 ratings)
6.6
(4 ratings)
User Testimonials
LogstashTalend Data Integration
Likelihood to Recommend
Elastic
Perfect for projects where Elasticsearch makes sense: if you decide to employ ES in a project, then you will almost inevitably use LogStash, and you should anyways. Such projects would include: 1. Data Science (reading, recording or measure web-based Analytics, Metrics) 2. Web Scraping (which was one of our earlier projects involving LogStash) 3. Syslog-ng Management: While I did point out that it can be a bit of an electric boo-ga-loo in finding an errant configuration item, it is still worth it to implement Syslog-ng management via LogStash: being able to fine-tune your log messages and then pipe them to other sources, depending on the data being read in, is incredibly powerful, and I would say is exemplar of what modern Computer Science looks like: Less Specialization in mathematics, and more specialization in storing and recording data (i.e. Less Engineering, and more Design).
Read full review
Qlik
The same way you design data integration job can be used to design services. It is easy to enhance by custom components and can adapt to all requirements. Talend Data Integration connects to [a] multitude of data sources and streaming service. Very easy interface to design complex applications without spending much time on coding. Easy to learn and master. Talend constantly strives to better itself by adding more features and functionalities.
Read full review
Pros
Elastic
  • Logstash design is definitely perfect for the use case of ELK. Logstash has "drivers" using which it can inject from virtually any source. This takes the headache from source to implement those "drivers" to store data to ES.
  • Logstash is fast, very fast. As per my observance, you don't need more than 1 or 2 servers for even big size projects.
  • Data in different shape, size, and formats? No worries, Logstash can handle it. It lets you write simple rules to programmatically take decisions real-time on data.
  • You can change your data on the fly! This is the CORE power of Logstash. The concept is similar to Kafka streams, the difference being the source and destination are application and ES respectively.
Read full review
Qlik
  • We used Talend to ETLing the data from myriad sources such Oracle Database, Clarify, Salesforce, Sugar CRM, SQL DB, MQ, Stibo Step, FTP, Netezza, and Files.
  • We leverage Talend transformation capabilities for stitching the data , unions and join
  • We successfully created the final unified set that can be used by business
Read full review
Cons
Elastic
  • Since it's a Java product, JVM tuning must be done for handling high-load.
  • The persistent queue feature is nice, but I feel like most companies would want to use Kafka as a general storage location for persistent messages for all consumers to use. Using some pipeline of "Kafka input -> filter plugins -> Kafka output" seems like a good solution for data enrichment without needing to maintain a custom Kafka consumer to accomplish a similar feature.
  • I would like to see more documentation around creating a distributed Logstash cluster because I imagine for high ingestion use cases, that would be necessary.
Read full review
Qlik
  • Pricing for sure can be the area for improvement.
  • Real time processing is slow as compared to other tools like Abinitio.
  • While developing batches, it crashes a lot. It may be the issue with me, but I wanted to highlight it.
Read full review
Usability
Elastic
No answers on this topic
Qlik
We use Talend Data Integration day in and day out. It is the best and easiest tool to jump on to and use. We can build a basic integration super-fast. We could build basic integrations as fast as within the hour. It is also easy to build transformations and use Java to perform some operations.
Read full review
Support Rating
Elastic
No answers on this topic
Qlik
Good support, specially when it relates to PROD environment. The support team has access to the product development team. Things are internally escalated to development team if there is a bug encountered. This helps the customer to get quick fix or patch designed for problem exceptions. I have also seen support showing their willingness to help develop custom connector for a newly available cloud based big data solution
Read full review
Alternatives Considered
Elastic
MongoDB and Azure SQL Database are just that: Databases, and they allow you to pipe data into a database, which means that alot of the log filtering becomes a simple exercise of querying information from a DBMS. However, LogStash was chosen for it's ease of integration into our choice of using ELK Elasticsearch is an obvious inclusion: Using Logstash with it's native DevOps stack its really rational
Read full review
Qlik
In comparison with the other ETLs I used, Talend is more flexible than Data Services (where you cannot create complex commands). It is similar to Datastage speaking about commands and interfaces. It is more user-friendly than ODI, which has a metadata point of view on its own, while Talend is more classic. It has both on-prem and cloud approaches, while Matillion is only cloud-based.
Read full review
Return on Investment
Elastic
  • Positive: Learning curve was relatively easy for our team. We were up and running within a sprint.
  • Positive: Managing Logstash has generally been easy. We configure it, and usually, don't have to worry about misbehavior.
  • Negative: Updating/Rehydrating Logstash servers have been little challenging. We sometimes even loose data while Logstash is down. It requires more in-depth research and experiments to figure the fine-grained details.
  • Negative: This is now one more application/skill/server to manage. Like any other servers, it requires proper grooming or else you will get in trouble. This is also a single point of failure which can have the ability to make other servers useless if it is not running.
Read full review
Qlik
  • It’s only been a positive RoI with Talend given we’ve interfaced large datasets between critical on-Prem and cloud-native apps to efficiently run our business operations.
  • 40K+ plots data, covering 1K+ crop varieties.
  • 3K+ Customer & their credit data, 3K+ product inventory & pricing.
Read full review
ScreenShots