Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
We have not purchased any licensed products, and our use of Elastic Search is purely open-source, contributing positively to our ROI.
It is stable, and we do not encounter critical issues like server downtime, which could result in data loss.
The main benefits observed from using Elastic Search include improvements in operational efficiency, along with cost, time, and resource savings.
The customer support for Elastic Search is one of the best I have ever tried.
They have always been really responsible and responsive to my requests.
I would rate technical support from Elastic Search as three out of ten.
I would rate its scalability a ten.
Since we're on the cloud, whenever we need to upgrade or add resources, they handle everything.
I can actually add more storage and memory because I host it in the cloud.
The data transfer sometimes exceeded the bandwidth limits without proper notification, which caused issues.
The stability of Elasticsearch was very high.
Elastic Search is quite stable.
This can create problems for new developers because they have to quickly switch to another version.
It is primarily based on Unix or Linux-based operating systems and cannot be easily configured in Windows systems.
The consistency and stability of Elasticsearch are commendable, and they should keep up the good work.
If we could have round-the-clock support, we would be able to resolve many issues which we encounter during the development part.
We used the open-source version of Elasticsearch, which was free.
Elastic pushes clients to buy the Enterprise edition instead of the Premium edition, and we don't see the value in that other than to spend more money more quickly.
Elastic Search makes handling large data volumes efficient and supports complex search operations.
The most valuable feature of Elasticsearch was the quick search capability, allowing us to search by any criteria needed.
The speed with which Elastic Search is able to search through all of the documents we place into it is quite remarkable, as we search through 65 billion documents in less than a second in most cases, on a constant consistent basis.
It also comes with a console which helps us to monitor the jobs we have built in, making that monitoring part easy.
Product | Market Share (%) |
---|---|
Talend Open Studio | 3.0% |
Elastic Search | 2.0% |
Other | 95.0% |
Company Size | Count |
---|---|
Small Business | 32 |
Midsize Enterprise | 9 |
Large Enterprise | 36 |
Company Size | Count |
---|---|
Small Business | 22 |
Midsize Enterprise | 13 |
Large Enterprise | 18 |
Elasticsearch is a prominent open-source search and analytics engine known for its scalability, reliability, and straightforward management. It's a favored choice among enterprises for real-time data search, analysis, and visualization. Open-source Elasticsearch is free, offering a comprehensive feature set and scalability. It allows full control over deployments but requires managing and maintaining the infrastructure. On the other hand, Elastic Cloud provides a managed service with features like automated provisioning, high availability, security, and global reach.
Elasticsearch excels in handling time-sensitive data and complex search requirements across large datasets. Its scalability allows it to handle growing data volumes efficiently, maintaining high performance and fast response times. Integrated with Kibana, Elasticsearch enables powerful data visualization, providing real-time insights crucial for data-driven decision-making.
Elastic Cloud reduces operational overhead and improves scalability and performance, though it comes with associated costs. It is available on your preferred cloud provider — AWS, Azure, or Google Cloud. Customers who want to manage the software themselves, whether on public, private, or hybrid cloud, can download the Elastic Stack.
At its core, Elasticsearch is renowned for its full-text search capabilities, capable of performing complex queries and supporting features like fuzzy matching and auto-complete.
Peer reviews from various professionals highlight its strengths and weaknesses. Pros include its detection and correlation features, flexibility, cloud-readiness, extensibility, and efficient search capabilities. However, users have noted challenges like steep learning curves, data analysis limitations, and integration complexities. The platform is generally viewed as stable and scalable, with varying degrees of satisfaction regarding its usability and feature set.
In summary, Elasticsearch stands out for its high-speed search, scalability, and versatile analytics, making it a go-to solution for organizations managing large datasets. Its adaptability to different enterprise needs, robust community support, and continuous development keep it at the forefront of enterprise search and analytics solutions. However, potential users should be aware of its learning curve and the need for skilled personnel for optimization.
Talend Open Studio is a free, open source ETL tool for data integration and Big Data. The solution enables you to extract diverse datasets and normalize and transform them into a consistent format which can be loaded into a number of third-party databases and applications.
Talend Open Studio Features
Talend Open Studio has many valuable key features. Some of the most useful ones include:
Talend Open Studio Benefits
There are several benefits to implementing Talend Open Studio. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the Talend Open Studio solution.
Elio B., Data Integration Specialist/CTO at Asset messages, says, "The solution has a good balance between automated items and the ability for a developer to integrate and extend what he needs. Other competing tools do not offer the same grade of flexibility when you need to go beyond what is provided by the tool. Talend, on the other hand, allows you to expand very easily."
A Practice Head, Analytics at a tech services company mentions, “The data integration aspect of the solution is excellent. The product's data preparation features are very good. There's very useful data stewardship within the product. From a technical standpoint, the solution itself is pretty good. There are very good pre-built connectors in Talend, which is good for many clients or businesses, as, in most cases, companies are dealing with multiple data sources from multiple technologies. That is where a tool like Talend is extremely helpful.”
Prerna T., Senior System Executive at a tech services company, comments, “The best thing I have found with Talend Open Studio is their major support for the lookups. With Salesforce, when we want to relate our child objects to their parent object, we need to create them via IDs. Then the upsert operation, which will allow you to relate a child object to the event, will have an external ID. That is the best thing which keeps it very sorted. I like that.”
An Implementation Specialist, Individual Contributor at a computer software company, states, “I can connect with different databases such as Oracle Database or SQL Server. It allows you to extract the data from one database to another. I can structure the data by filtering and mapping the fields.” He also adds, “It is very user-friendly. You need to know the basics of SQL development or SQL queries, and you can use this tool.”
PeerSpot user Badrakh V., Information System Architect at Astvision, explains, "The most valuable features are the ETL tools."
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.