Elastic Search vs Informatica PowerCenter comparison

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193 views|77 comparisons
98% willing to recommend
Informatica Logo
19,607 views|16,419 comparisons
90% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Elastic Search and Informatica PowerCenter based on real PeerSpot user reviews.

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.
To learn more, read our detailed Elastic Search vs. Informatica PowerCenter Report (Updated: March 2024).
770,765 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it.""Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time analytics with Elastic benefits us due to the huge traffic volume in our organization, which reaches up to 60,000 requests per second. With logs of approximately 25 GB per day, manually analyzing traffic behavior, payloads, headers, user agents, and other details is impractical.""The most valuable feature for us is the analytics that we can configure and view using Kibana.""It helps us to analyse the logs based on the location, user, and other log parameters.""The ability to aggregate log and machine data into a searchable index reduces time to identify and isolate issues for an application. Saves time in triage and incident response by eliminating manual steps to access and parse logs on separate systems, within large infrastructure footprints.""The search speed is most valuable and important.""The observability is the best available because it provides granular insights that identify reasons for defects.""The most valuable features are the detection and correlation features."

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"The product's initial setup phase is very easy.""It reduces a lot of legacy coding.""It works with any multi-databases, so it works with Sybase, SQL Server. Also, the performance is really good and it is easy to use.""Complex transformations can be easily achieved by using PowerCenter. The processing layer does transformations and other things. About 80% of my transformations can be achieved by using the middle layer. For the remaining 15% to 20% transformations, I can go in and create stored procedures in the respective databases. Mapplets is the feature through which we can reuse transformations across pipelines. Transformations and caching are the key features that we have been using frequently. Informatica PowerCenter is one of the best solutions or products in the data integration space. We have extensively used PowerCenter for integration purposes. We usually look at the best bridge solution in our architecture so that it can sustain for maybe a couple of years. Usually, we go with the solution that fits best and has proven and time-tested technology.""It's a very powerful tool you can use to load data, get data, do the drawing between the tables, and put into the packet in a very fast way.""It has helped us monetize.""It's a complete package, which is why we use this solution.""The most valuable features are the dynamic reading of the file metadata profile, and the ability to define business rules that are used to verify and validate the uploaded files."

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Cons
"Improving machine learning capabilities would be beneficial.""Elastic Enterprise Search can improve by adding some kind of search that can be used out of the box without too much struggle with configuration. With every kind of search engine, there is some kind of special function that you need to do. A simple out-of-the-box search would be useful.""We'd like more user-friendly integrations.""I would like to see more integration for the solution with different platforms.""Machine learning on search needs improvement.""Elastic Search could benefit from a more user-friendly onboarding process for beginners.""Better dashboards or a better configuration system would be very good.""I would rate the stability a seven out of ten. We faced a few issues."

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"It would be nice to have all tools in one place. CDC needs more effort, as it's only easy to develop if you are familiar with Linux.""I would like to see an improvement in the digital adoption.""The solution does not scale.""I would like to see improvements made to the custom transformations. It should be more open for users that want to write their own code and use cases.""This product is going to decommission in the next couple of years.""Include more instruments for LOGs analysis, interpretation, and job corrections.""Informatica PowerCenter is outdated and would benefit from modernization. They should have a very good migration strategy from Informatica PowerCenter to AACF. Informatica PowerCenter there is no point in using it, you have to use a cloud version.""Requires an established data center because there is no option for software as a service."

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Pricing and Cost Advice
  • "ELK has been considered as an alternative to Splunk to reduce licensing costs."
  • "An X-Pack license is more affordable than Splunk."
  • "​The pricing and license model are clear: node-based model."
  • "This is a free, open source software (FOSS) tool, which means no cost on the front-end. There are no free lunches in this world though. Technical skill to implement and support are costly on the back-end with ELK, whether you train/hire internally or go for premium services from Elastic."
  • "We are using the free version and intend to upgrade."
  • "It can be expensive."
  • "This product is open-source and can be used free of charge."
  • "We are using the open-sourced version."
  • More Elastic Search Pricing and Cost Advice →

  • "We have found the pricing very cost-effective. The licensing is CPU and data source-based."
  • "Cost could be improved."
  • "Licensing is a one time cost. But maintenance costs depend on what you want, how long you need it. Maintenance is a kind of insurance. With health insurance, you don't know whether you will get sick or need to go to hospital or not but you have to have insurance. It's the same thing with support. If you have that expertise in resolving issues, if you have enough experience in your IT department, I would say you don't need the support. But in practice, they recommend you go with the support. If you want support you have to pay for it."
  • "Price-wise, it's more expensive than SSIS, but it's a better tool, so it has more features. Licensing is on a yearly basis."
  • "Its maintenance is expensive."
  • "It's much more expensive, almost three times more expensive than most other solutions."
  • "We are satisfied with the pricing."
  • "I consider this to be an expensive product."
  • More Informatica PowerCenter Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations There are many third-party vendors offering ETL solutions, but two of the most popular are PowerCenter Informatica and Microsoft SSIS (SQL Server Integration Services). Each technology has its advantages but there are also similarities on how they carry out the extract-transform-load processes and only differ in terminologies. If you’re in the process of choosing ETL tools and PowerCenter Informatica and Microsoft SSIS made it to your shortlist, here is a short comparative discussion detailing the differences between the two, as well as their benefits. Package Configuration Most enterprise data integration projects would require the capacity to develop a solution in one platform and test and deploy it in a separate environment without having to manually change the established workflow. In order to achieve this seamless movement between two environments, your ETL technology should allow the dynamic update of the project’s properties using the content or a parameter file or configuration. Both Informatica and SSIS support this functionality using different methodologies. In Informatica, every session can have more than one source and one or more destination connections. There are… Read more →
    Questions from the Community
    Top Answer:Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time… more »
    Top Answer:I don't see improvements at the moment. The current setup is working well for me, and I'm satisfied with it. Integrating with different platforms is also fine, and I'm not recommending any changes or… more »
    Top Answer:Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up and… more »
    Top Answer:SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free… more »
    Top Answer:Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge… more »
    Ranking
    9th
    Views
    193
    Comparisons
    77
    Reviews
    27
    Average Words per Review
    501
    Rating
    8.3
    3rd
    out of 101 in Data Integration
    Views
    19,607
    Comparisons
    16,419
    Reviews
    28
    Average Words per Review
    478
    Rating
    7.5
    Comparisons
    Also Known As
    Elastic Enterprise Search, Swiftype, Elastic Cloud
    PowerCenter
    Learn More
    Overview

    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.

    Informatica PowerCenter is a data integration and data visualization tool. The solution works as an enterprise data integration platform that helps organizations access, transform, and integrate data from various systems. The product is designed to support companies in the full cycle of a project, from its initial rollout to critical deployments. Informatica PowerCenter allows developers and analysts to collaborate while accelerating the work process to deploy projects within days instead of months.

    The Advanced edition of the product provides an additional real-time engine which allows companies to have always-on enterprise data integration. This ensures seamless collaboration and increment of data lineage visibility and impacts analysis.

    The Premium edition of the solution offers an early warning system that detects unexpected behaviors or incorrect utilization of resources in the workflows and alerts companies in the case that these occur. This version of the product also offers automatic data validation, which ensures data accuracy and reduces testing time and expenditure of resources for by up to 90%.

    Informatica PowerCenter Features

    The product provides users with various features which allow them to execute data integration initiatives such as analytics, data warehousing, data governance, consolidation, and application migration. The features of the solution include:

    • Collaboration: Informatica PowerCenter offers role-based tools and processes which enable business self-service while benefiting from high-quality IT resources.

    • Automation: Through various automations and easy-to-use software, users can utilize graphical and codeless tools and initiate effective data integration without additional knowledge.

    • Scalability: The tool provides high scalability to users, which ensures seamless performance and minimum downtime. PowerCenter also has adaptive load balancing, pushdown optimization, and dynamic partitioning.

    • Monitoring: Through the extensive monitoring feature, the operations and governance of the solution are easily overseen by users. The tool also provides alerts that can prevent damage to the system.

    • Real-time data: Through real-time data, users can monitor applications and analytics, ensuring their efficient operation.

    • Prototyping: Informatica lets its users collaborate with information technology to prototype, profile, and validate results in a timely manner.

    • Connectivity: Users can access and integrate data from different types of sources through high-performance connectors.

    • Automated data validation testing: The product offers script-free automated and repeatable audit and validation of data.

    • Data transformation: This feature allows users to use comprehensive parsing of JSON, PDF, XML, Microsoft Office, and the Internet of Things (IoT) for non-relation data.

    • Cloud applications connectivity: The product allows for seamless connection to cloud application sources and targets.

    Informatica PowerCenter Benefits

    The benefits of using Informatica PowerCenter include:

    • The tool can work over a wide range of systems and platforms and also allows for lean integration.

    • It enhances the quality and speed of performance and optimizes the cost of the process for your organization.

    • PowerCenter supports multiple databases, including TPump, Parallel Transporter Fastload, and Teradata MLoad.

    • The tool is very easy to monitor and maintain, which simplifies the data integration process for companies.

    • The centralized error logging system allows users to locate errors in a timely manner and correct them.

    • The tool can convert data from an application to another format, as it serves as one of the most powerful data transformation solutions.

    • PowerCenter can also serve as middleware between two applications.

    • The solution offers both parallel processing and load balancing.

    • PowerCenter is a tool with a high level of security, which also minimizes essential administration activities.

    • The solution ensures the quality of information, as it does not allow invalid or unwanted data to be uploaded to the source.

    Reviews from Real Users

    Yahya T., a developer and architect at L'Oreal, says the product is stable, provides good support, and integrating it with other systems is very fast.

    Mohamed E., a senior manager for Data management and data governance at a tech company, says PowerCenter is stable, mature, and offers flexibility in building the pipeline and has a drag-and-drop mode because it's GUI-based; technical support is brilliant.

    Sample Customers
    T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
    University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
    Top Industries
    REVIEWERS
    Financial Services Firm33%
    Computer Software Company27%
    Manufacturing Company10%
    Insurance Company7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm15%
    Manufacturing Company8%
    Government7%
    REVIEWERS
    Computer Software Company22%
    Financial Services Firm20%
    Retailer7%
    Insurance Company7%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company12%
    Manufacturing Company8%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise11%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise13%
    Large Enterprise63%
    REVIEWERS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    Buyer's Guide
    Elastic Search vs. Informatica PowerCenter
    March 2024
    Find out what your peers are saying about Elastic Search vs. Informatica PowerCenter and other solutions. Updated: March 2024.
    770,765 professionals have used our research since 2012.

    Elastic Search is ranked 9th in Cloud Data Integration with 59 reviews while Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews. Elastic Search is rated 8.2, while Informatica PowerCenter is rated 8.0. The top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". On the other hand, the top reviewer of Informatica PowerCenter writes "Stable, provides good support, and integrating it with other systems is very fast, but its pricing is expensive". Elastic Search is most compared with Faiss, Milvus, Pinecone, Azure Search and Amazon Kendra, whereas Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue. See our Elastic Search vs. Informatica PowerCenter report.

    See our list of best Cloud Data Integration vendors.

    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.