Data Virtuality Platform Reviews & Product Details

Data Virtuality Platform Overview

What is Data Virtuality Platform?

Data Virtuality is a data integration and management platform for instant data access, easy data centralization, and data governance. It empowers companies to get fast and direct insights from scattered data. Data from multiple data sources can be integrated and managed in one interface. This not only simplifies data management but also drastically reduces data integration efforts - by up to 80%. The Data Virtuality platform offers three solutions: Data Virtuality Logical Data Warehouse - High-performance data virtualization Logical Data Warehouse enables businesses to build a single source of truth in the virtual layer on top of the existing data environment for high data quality, data governance, and fast time-to-market. It combines data virtualization and materialization for the highest possible performance and can be hosted in the cloud or on-premises. Data Virtuality Pipes - Easy and reliable data replication in the cloud Pipes allows easy-to-use data replication (ETL/ELT) in a web client. With Pipes, businesses can integrate data from 200+ data sources to any data warehouse in 5 minutes. No coding or maintenance of APIs required. Data Virtuality Pipes Professional - Advanced data replication hosted in the cloud or on-premises Pipes Professional allows transformation and modeling of data with SQL before replication. With Pipes Professional, businesses can utilize multiple target storages, exploit customization at a granular level and leverage advanced scheduling options like job dependencies. A whole range of renowned businesses around the world, such as Bosch, Audi, and DHL, financial institutions like Crédit Agricole and Vontobel, as well as many SMEs are already using the Data Virtuality platform to make better use of their data. Imprint: https://datavirtuality.com/imprint/

Data Virtuality Platform Details
Product Description

Data Virtuality Platform is a data integration solution that allows its users to instantly access and model data from any database and API with analysis tools.


Seller Details
Seller
Data Virtuality
Company Website
Year Founded
2012
HQ Location
Leipzig, Germany
Twitter
@DataVirtuality
641 Twitter followers
LinkedIn® Page
www.linkedin.com
39 employees on LinkedIn®

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Data Virtuality Platform Reviews

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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best?

We used DataVirtuality for Salesforce and Jira data and were able to customize absolutely everything we needed to. Support was really excellent -- friendly and quick! Review collected by and hosted on G2.com.

What do you dislike?

The Pipes Web UI was not very intuitive and sometimes totally inaccurate. Custom pipe definitions were tricky to get right and lacked version control. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Data transport (extract and load into a Redshift DWH) for Salesforce and Jira. DataVirtuality Pipes enabled us to get up and running very quickly without having to maintain our own infrastructure. Review collected by and hosted on G2.com.

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Director of Data Management
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best?

Data Virtuality has made the data management team so much more efficient and effective. It allows us to access different data sources, draw the data out and analyze it. The two main benefits for us are (1) the short time it takes to connect to our data sources and (2) the flexibility the virtual SQL layer provides to comply with the specific data needs of our end users. Review collected by and hosted on G2.com.

What do you dislike?

Data Virtuality lets users see things they don't have access to when using a tool like DBeaver; this is on the roadmap to be changed so users only see what they have access to. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

For those organizations who are trying to figure out how to get quicker with their data delivery, I advise you to look at data virtualization as a whole, but more specifically at Data Virtuality. It is ease to use, has all capabilities to manage data efficiently and provide it quickly to analysts, it’s very robust and has a great connector support. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

We use Data Virtuality as our single source of data truth where we unite data coming in from different data sources in varying formats. We manage our data in Data Virtuality and enable our end users to use it as the single point to draw data from for their reporting and data science tasks. Review collected by and hosted on G2.com.

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Senior BI Analyst
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best?

We were looking for an ETL tool which is cheap and didn't require extensive programming language. After searching in the marketplace that fits our need, Pipes was the only one that was affordable yet gave us the use of integrated SQL editor with which ETL can be easily done. Review collected by and hosted on G2.com.

What do you dislike?

The price could be more flexible and adapt more to the current use case. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

The most important use case for us is that we are building a data warehouse on dimension modelling techniques. Our production database is not at all suited for analytics (since it is optimised for operational purposes). We want to do an ETL process from our production database into a schema defined by our BI team so that we can read and aggregate data more easily Review collected by and hosted on G2.com.

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Director, Information Services
Government Relations
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best?

Pipes has a very intuitive setup and is easy to use. The pre-developed data templates are also very

helpful. The SQL editor to transform data and schemas seems very useful as well. Review collected by and hosted on G2.com.

What do you dislike?

No real downside. It took a couple weeks to get the Stripe integration functioning entirely as we would like it to. On the upside, the Support and Development teams were AMAZING in getting every little issue and behavior dialed in. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

Do a trial of the product and leverage the Support chat option for any issues and questions. Their support is wonderful to deal with! Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Pipes automatically retrieves and loads stripe data into our DWH on schedule. This enables us to monitor incoming payments. We avoid a lot of manual effort with reconciling payments and accounts. Review collected by and hosted on G2.com.

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Development Lead / Technology Architect
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: Organic
What do you like best?

One of the most important learnings that we got out of this journey is how important data integration is for the machine learning process. And this refers to all parties involved: data architecture/analyst team as well as the data science team. Data Virtuality helped us to reduce the grunt work and eliminate idle time Review collected by and hosted on G2.com.

What do you dislike?

There's nothing i didn't like about datavirtuailty Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

We can now integrate data from different data sources into a central place, the virtual layer, using JDBC and REST API connectors. In this layer, we can separate modules by responsibilities. This way, we can serve different teams with different requirements without editing or creating new codes. That saves us a lot of time that we could spend on other ends Review collected by and hosted on G2.com.

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Business Intelligence Analyst
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: Organic
What do you like best?

One tool for datawarehousing and to connect and merge all company related data effortlessly. Very flexible job editor to schedule individual update jobs. Really fast, helpful and solution-oriented customer support. Review collected by and hosted on G2.com.

What do you dislike?

The documentation is quite difficult to navigate and some things are missing. Would be great to have kind of a certification for Data Virtuality. Also some kind of introduction tutorial videos would be greate. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

The Power of Data Virtuality comes with the connectors. If you have various data sources and want to combine this data, this is a really greate tool to do so.

Do not hesitate to use the customer support if you have any questions or if you come to a point where you dont know how to go on. They are always open for your questions, have good advices and will help you. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

We are using Data Virtuality as Data Warehouse in which we integrate all company related data. We use different connectors in order to do so. Review collected by and hosted on G2.com.

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Head Of Partnerships
Computer Software
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: Organic
What do you like best?

We have partnered with Data Virtuality since 2016 and use the software as the central data hub in our business intelligence projects. In the first phase of our projects we connect to our clients' data sources. That takes only a couple of minutes and we can immediately proceed to start building dashboards. Its the enabler for ad hoc reporting and rapid prototyping.

The strength over other ETL tools are the pre-built connectors which cut down time for data access to minutes - and the virtual data layer. The concept of a virtual data layer that supports sophisticated SQL procedures is a game changer in the industry. Review collected by and hosted on G2.com.

What do you dislike?

Time to onboard. We use the software in a way no other ETL tool operates. That required a rethinking to better fit our company. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

Take the free trial and test the support\partner connections to get a feel for what DV can do. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Quick Data Access

Rapid BI prototyping

Ad hoc reporting

Automating data work flows utilizing stored procedures

Cutting time to access data to a matter of minutes

Have a central data hub to describe the business logic Review collected by and hosted on G2.com.

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AC
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: Invitation from the seller
What do you like best?

The best and unique thing is really that Data Virtuality is fully SQL based which gives us full flexibility when working with our data other marketing integration pipeline tools could not provide us with.

First, we connected our marketing partner sources. Data Virtuality has many connectors, so our facebook, linkedin, twitter, google ad, analytics and MySQL database was connected within 1,5h. Once we did this, we had access to the full API and could model and transform the data with SQL. That is really a game changer, because other marketing integration solutions only let us select from templates, where we always ran into limitations when building an attribution model.

We have also stored a lot of SQL code that defines how our marketing data flows on Data Virtuality. It's basically the data brain behind our marketing operations. Review collected by and hosted on G2.com.

What do you dislike?

Most advantages come with a disadvantage. Here, the price of flexibility comes with the fact that you need to know SQL well. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

Overall, we're very happy with it. It is a very sophisticated software that comes with a variety of features that helped us to build our marketing analytics stack and bring our infrastructure to the next level (coming from having tested a couple of dozen data pipeline tools out there) Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Marketing Data Analytics. Marketing Attribution. eMail Campaign Management. Website Analytics Review collected by and hosted on G2.com.

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Validated Reviewer
Verified Current User
Review source: Invitation from the seller
What do you like best?

Having used Data Virtuality for the past 4.5 years, I can say that Data Virtuality is a solution that is both easy to learn and hard to master (in a positive way). The manner in which we have set up our data driven environment has been made possible through Data Virtuality. The logical data warehouse first enabled us to rapidly access and combine many separate data sources in an ad hoc manner and later, provided us with the tools to set up a well structured, fully featured data integration and data warehouse solution.

Data virtuality virtually takes in all data sources and enabled us to process that data for it to be published to any desired client tool, either via a ODBC or JDBC drivers or via the built-in REST service. The support team at Data Virtuality responds very fast and correct to any question and on more than one occasion has gone 'the extra mile' to satisfy our support needs. Review collected by and hosted on G2.com.

What do you dislike?

Additional client tools like Tableau, Looker, Excel or PowerBI are a must for business users - it has proven difficult to learn these users to use SQL to extract data in a flexible manner. Data virtuality requires experience in and understanding of logical data warehouse design or training therein to most effectively use the power that the solution offers. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

Ideally, set out a strategy/plan out from the beginning in terms of how to use data virtuality's flexibility to it's full potential (best practices can be delivered to you by the company).

Having trained personnel on board that know their way around data modeling data processing will help a great deal. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

At Springlane, we use Data virtuality for all things data. We integrate data from various data sources to be used company wide for reporting, analysis and forecasting.

Through the connection with many different data sources via one relatively simple query interface, we were first able to respond quickly to most questions that our organization had, by simply querying data for any of the connected systems in an ad hoc manner. This helped tremendously with building up our team as the go-to-source for data, more specifically 'the truth' regarding anything not easily found in application's front ends.

Data Virtuality's use of virtual schemas, powerful transformation and scheduling capabilities, combined with the best practices provides to us by the the support team, enabled us to undertake the next steps we needed to automate many, if not all of the data preparation we previously did manually and add many more features to boot. The virtual schemas support organizing our work, making it easier to share development over multiple developers and share and re-use created code. The transformation capabilities offered us the means to do without any external tools and truly have a single point of reference for our data related projects, whereas the scheduling ties this all together in automated nightly jobs. Review collected by and hosted on G2.com.

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IP
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best?

We do not need to sacrifice time and ressources in order to create and maintain connectors to different data sources we need to integrate for our business. The support team is very competent and problems are usually solved very quickly. Review collected by and hosted on G2.com.

What do you dislike?

It would be good to have an overview over the running Pipes so we could identify faster possible issues. It would be good to have the ability to prioritize execution of a pipe. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

We use Pipes in order to get data from different data sources fast in our DWH so we can analyze it afterwards with Tableau. Review collected by and hosted on G2.com.

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CM
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: Organic
What do you like best?

I am consulting with high-growth startups that usually start with a clean sheet when it comes to Business Intelligence, but quickly need to set up an infrastructure for reporting and analytics for marketing, sales and operations.

Best about Data Virtuality is the large number of connectors to access data sources. It saves me time on the integration part and let's me focus on working on the logic behind the numbers.

Another important part is that I can pull all data, also custom fields for example for Salesforce. I can set up the specific business logic my clients need instead of just using templates for integration. Review collected by and hosted on G2.com.

What do you dislike?

Sometimes I get error messages that are not self-explaining for me. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Single source of data for Business Intelligence tools. With Data Virtuality I can access data sources and build out the business logic to use data viz tools like Excel, Tableau and Metabase for visualization. Review collected by and hosted on G2.com.

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AR
Small-Business(50 or fewer emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best?

Pipes is very simple tool that integrates and automates data import tasks. The Customer Service team has been extremely responsive to any problems we have had. They have been quick to adapt and have proven to be extremely capable. Review collected by and hosted on G2.com.

What do you dislike?

For an automated, (mostly) self-service tool, the price is too high. A year commitment is also required, with full prepayment. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

We are connecting Amazon MWS data to our own SQL Database. Pipes has greatly improved the efficiency of this process, which makes data and reporting occur must faster. Before Pipes, there were times in the past that we had no choice but to update data via flat files. Review collected by and hosted on G2.com.

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UH
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: Organic
What do you like best?

I am using Data Virtuality for 3 years now. The best about Data Virtuality is that it enables me, a non technical user, to access our client data sources and build reportings in a very short time completely autonomously. Previously, I needed developers to access our client data which took several weeks and did not always work. Support is also helpful. Review collected by and hosted on G2.com.

What do you dislike?

The desktop frontend looks a bit dated for me. The web frontend introduced in 2.1 looks very promising for the future. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

I recommend using the 14 day test phase to see for yourself how fast it helps you to centralize your data. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Reporting for clients: Connecting to several APIs and databases on client side. Mostly Mailchimp, Google Analytics, Web Shop Data (Magento), MS SQL Server and MongoDB. Visualization with Tableau and automatically sending reports via email. Review collected by and hosted on G2.com.

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Senior Head of Online Marketing
Internet
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best?

Working daily with DV I really enjoyed the virtual data layer. With the virtual data layer, we were able to save a lot of storage in the Logical Data Warehouse. It is very convenient to test the data before writing it into the DWH. Furthermore, I really like the DV ticket system and their support. Usually, the support-team gets back to you very quickly (latest within a day). In case of critical problems, they react immediately. Review collected by and hosted on G2.com.

What do you dislike?

The client separation (multi-tenancy) is not very strong, but they are working on it. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

I can strongly recommend Data Virtuality because of its strengths of Data Virtualisation and the distributed processes.It is quite easy to set-up and you can start within a day. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

We as Invia use DV especially in the marketing department. DV is a great support for integrating over 30 data-sources. With DV we have a single point of truth, so everybody in the company has the same understanding of the data. The virtual data layer of DV allows us to make changes in the ETL-process on-the-fly without re-engineering the whole ETL-process. Since we implemented DV we save about 80% of the whole BI- and controlling resources in our marketing team. A Nice side effect, we were able to avoid Google Analytics Sampling (GA free version) by using DV procedures, which saved us a lot of money. Review collected by and hosted on G2.com.

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