Manta Business

MANTA is Built to Last

Did you know that MANTA is built to last a company’s lifetime? If you update it periodically, you only need to adjust your monthly subscription plan based on how your BI and environment grow in capacity. Other than that, MANTA is a keeper.

Did you know that MANTA is built to last a company’s lifetime? If you update it periodically, you only need to adjust your monthly subscription plan based on how your BI and environment grow in capacity. Other than that, MANTA is a keeper.

But like with everything, there are a few simple rules you have to follow to make sure MANTA is in the best possible condition. Here are the two (yes, only two!) secrets to ensuring your MANTA will last till you retire:

1. Update

2. Upgrade

So, without further delays, lets get to it.


If you are following us on all corners of the internet, you may have noticed that MANTA is constantly coming up with new connectors for different metadata management solutions and platforms. It’s not always because we didn’t connect with them before—it’s because they didn’t exist! That’s right, other companies are continuously releasing new solutions and developing new environments as well. And MANTA constantly develops connectors to support them.

Developing new connectors allows MANTA to be seamlessly reborn into new BI environments. This can save companies thousands of dollars! If you have already bought MANTA and you decide to upgrade the technologies we already support in your environment, you can be sure that MANTA’s newest version will support your newest version. Many of the companies that develop the solutions we support, such as IBM, Informatica, Teradata, and Collibra, are even MANTA’s partners. This means we often develop our connectors using and doing continuous testing on their own software, usually months before they release it. So, when something like EDC comes out, you can be sure we already integrate with it.

If you pay your subscription fees, you just need to check and make sure you have the newest version of the software installed. We make this easy for you by releasing new updates quarterly so you know when to watch out for an upgrade. Currently, we are also testing a new MANTA updater in beta, to make MANTA software updates even more user friendly.


As you know from our pricing, MANTA is priced according to the number of scripts in your data warehouse environment. The fact that you have upgraded to a new technology doesn’t necessarily mean that you have more scripts in your environment than you did before.

If you can fit into the “script budget” that you are currently in, then you might not need to pay even a dollar more, even after changing the software in your BI environment! So, if you change your technology but your data environment stays the same size, MANTA will adjust to your needs and simply be reborn in the new technological environment.

If you have any questions about how to get the most out of MANTA, feel free to contact us at

Press Release: Credo Ventures and Senovo Invest in MANTA

September 18, 2018 by

Prague, New York – Czech fund Credo Ventures and German B2B Cloud & SaaS venture capital group Senovo have joined forces to finance a seed investment round for the Czech-American tech start-up MANTA.

Prague, New York – Czech fund Credo Ventures and German B2B Cloud & SaaS venture capital group Senovo have joined forces to finance a seed investment round for the Czech-American tech start-up MANTA.

MANTA developed a unique solution for the automated analysis of information flows in business intelligence and analytics environments. The product is a result of its cooperation with prominent Czech universities and the Technology Agency of the Czech Republic. MANTA is currently a key part of the data infrastructure of many global companies, including PayPal, Comcast, and a bank from the US Big Four. The company successfully expanded to the US three years ago, opened a branch in Silicon Valley, and acquired its first several dozen customers.

“The market for data governance solutions literally exploded during the past year,” says Tomas Kratky, MANTA’s CEO. “Now, both big and small companies understand that if their data is a mess, no big data, AI, or data science investment will pan out. That’s a great opportunity for MANTA.”

Tomas Kratky continues: “We had an amazing first half of the year, but I felt like our potential was so much bigger. That’s why it was the right moment to invite a partner on board. I am extremely happy to join forces with Senovo and Credo. The funds they have invested will help us expand our sales and development teams, strengthen our position as the market leader in data lineage automation, and accelerate our growth on the American and Western European markets. To be honest, the first steps have already been taken. We opened another US branch in New York in May, doubled the number of developers in our DevCenter, and signed up a few new clients, all at the top of their respective fields. What a ride!”

MANTA is known for its unique ability to “crack” programming code and map data flows in very complex BI environments that consist of millions of lines of code. MANTA’s customers are no longer dependent on manual labor and are able to implement their data governance doctrine across the whole company. It does not really matter if the main reason is regulatory compliance (BCBS 239, GDPR, or something else), effective data management, or lowering development and maintenance costs – MANTA is the right solution to automate data lineage. This unique ability is an advantage not only for MANTA’s customers, but also its partners – data solution providers, local and international consultation companies, and worldwide system integrators.

“Effectively implementing data governance is one of the main challenges we see with enterprise companies. Manual mapping and the subsequent “freezing” of system landscapes just won’t work anymore with agile, data-driven organizations and Manta is the globally leading solution for this critical piece of effective data governance”, says Markus Grundmann, Partner at Senovo, on what made the investment so compelling. Vladislav Jez, Partner at Credo Ventures, adds that “by learning more about Manta and talking to its customers, we came to believe the company has developed a stellar technology, which, backed by the zeal and skills of Tomas and his team, has what it takes to provide the much needed visibility into increasingly complex and opaque IT systems.”

MANTA is a great example of the connection between business, traditional, and new findings in computer science. Joint research projects with the Czech Technical University and Charles University are moving the whole field forward and simultaneously allowing the direct application of the research results in a business reality.

About Credo Ventures
Credo Ventures is an early stage venture capital firm with offices in Prague and Silicon Valley. Investing in IT startups with a strong technological foundation, the Credo team strives to partner with outstanding founders to realize their global ambitions. It manages 71M € across 2 funds and to date, it has made more than 35 investments throughout Central and Eastern Europe.

About Senovo
Senovo is a Munich and Berlin based early stage venture capital fund with a focus on B2B SaaS Investments. The Senovo team believes that SaaS should be the dominant model for delivering software and is thrilled about the great market opportunities which are continuously created by the secular shift towards SaaS. Senovo funds outstanding entrepreneurs and teams building world class products and generally gets involved soon after product launch.

MANTA automates customer data lineage and enhances the capabilities of data governance solutions. MANTA is the leader in metadata harvesting due to its ability to process and understand custom programming code and describe its logic. The data lineage extracted can then be further used for data warehouse optimization, lowering development costs, impact analyses, data migration, data discovery, and data security projects as well as for meeting regulatory compliance standards such as CCAR, HIPAA, BASEL II/III, GDPR, and others. MANTA’s customers include organizations such as PayPal, Comcast and OBI.

Any questions or press inquiries? Drop us a line a on

BackOffice Associates Embeds MANTA Technology to Deliver Actionable Data Lineage Capabilities Across Information Governance Solutions

Partnership Establishes Data Lineage Visibility as Key Driver of Data Policy Creation and Enforcement in a Single, Integrated Solution.

Partnership Establishes Data Lineage Visibility as Key Driver of Data Policy Creation and Enforcement in a Single, Integrated Solution.

BackOffice Associates, the worldwide leader in solutions that solve enterprises’ most complex data transformation challenges, today announced a partnership with MANTA, a leading provider of data lineage and impact analysis solutions. BackOffice Associates will directly embed MANTA’s Flow technology into its suite of integrated information governance and data stewardship solutions. This will enable a market-first solution that offers data lineage tracking, impact analysis and metadata scanning coupled with the power of BackOffice’s Data Stewardship Platform and Information Governance Cloud software for end-to-end data policy setting and enforcement.

“Combining the power of BackOffice Associates’ and MANTA’s technologies offers our global customers a rich, transformative solution that allows them to directly link enterprise data lineage discovery and impact to data policy establishment and enforcement,” said Rex Ahlstrom, Chief Strategy and Technology Officer, BackOffice Associates. “Manta’s metadata scanning capabilities will augment the powerful AI functionality already available in our data catalog, meta data management and business glossary components, while providing elevated visibility into overall data quality monitoring and policy enforcement activities.”

The addition of MANTA’s data lineage and impact analysis software further strengthens BackOffice Associates singular product vision. For example, debugging efforts associated with complex data migration scenarios can be reduced from hours to minutes per incident, delivering significant cost savings. Visual data lineage and impact analysis also greatly simplifies compliance efforts in which understanding how data flows across systems and processes is critical.

“We’re thrilled to partner with BackOffice Associates to deliver actionable data lineage visibility across global customers’ enterprise data initiatives,” said Tomas Kratky, CEO of MANTA. “Deeply embedding our offerings will give enterprises a greater, richer level of data governance to drive the development of sound information governance roadmaps.”



MANTA helps enterprises all around the world to automate their data lineage across many different technologies. Complete data lineage enables our customers to improve their data governance, comply with regulations and unlock the potential of existing data governance solutions. We started changing the world of BI in 2013 in Prague, Czechia and quickly expanded to the rest of Europe and the US, currently providing data lineage capabilities to companies all around the world. To learn more, please visit:

 About BackOffice Associates

BackOffice Associates is a worldwide leader in solutons that solve enterprises’ most complex data transformation challenges. Our range of award-winning products, built on a revolutionary platform, address the needs of business users seeking to unlock the value of their data assets. Our products and services enable organizations to accelerate growth, gain actionable visibility and reduce risks. Founded in 1996, we have an unparalleled record of success in the most complex data environments across a variety of industries with Fortune 1000 organizations. BackOffice Associates is a global corporation headquartered in Massachusetts with additional offices in the U.S., Australia, Canada, Dubai, India, Singapore, Switzerland, Germany and the U.K. To learn more, please visit

Different Approaches To Data Lineage

September 10, 2018 by

I feel it is important to talk about different approaches to Data Lineage that are used by data governance vendors today. Because when you talk about metadata, you very often think about simple things – tables, columns, reports. But data lineage is more about logic.

I feel it is important to talk about different approaches to Data Lineage that are used by data governance vendors today. Because when you talk about metadata, you very often think about simple things – tables, columns, reports. But data lineage is more about logic.

It is more about programming code in any form. It can be SQL script, PL/SQL stored procedure, Java program or complex macros in your Excel sheet. It can literally be anything that allows you to somehow move your data from one place to another, transform it, modify it. So, what are your options and how to understand that logic?

Option 1) Ignore it! (aka Data Similarity Lineage)

No, I am not crazy! There are products building lineage information without actually touching your code. They read metadata about tables, columns, reports, etc. They profile data in your tables too. And then they use all that information to create lineage based on similarities.

Tables, columns with similar names or columns with very similar data values, those are examples of such similarities. And if you find a lot of them between two columns, you link them together in your data lineage diagram. And to make it even more cool, vendors usually call it AI (another buzzword I hate very much). There is one great thing about this approach – if you watch data only and not algorithms, you do not care about technologies and there is no big deal if customer uses Teradata, Oracle or MongoDB with Java on top of it.

But on the other hand, this approach is not very accurate, performance impact can be significant (you work with data) and data privacy is at risk (you work with data). There are also a lot of details missing (like transformation logic for example, very often requested by customers) and lineage is limited to the database world ignoring the application part of your environment.

Option 2) Do the “business” lineage manually

This approach usually starts from the top by mapping and documenting the knowledge in people’s heads. Talking to application owners, Data stewards, data integration specialist should give you fair but often contradictory information about data movements in your organization. And if you miss asking someone you simply don’t know about; a piece of the flow is missing! This often results in dangerous situation when you’re having a lineage but unable to use it for real-case scenarios – not only you do not have trust in your data, but on in the lineage either.

Option 3) Do the technical lineage manually

I will go simply to the point here – trying to analyze the technical flows manually is simply destined to fail. With the volume of the code you have, the complexity of it and the rate of change, there’s no way to keep up with it. When you start considering the complexity of the code and especially a need to reverse engineer the existing code this becomes extremely time consuming and sooner or later, such manually managed lineage falls out of sync with the actual data transfers within the environment and you end-up with a feeling of having lineage that you cannot actually trust.

Now, that we know that automation is the key, let’s take a look at less laboring and error prone approaches.

Option 4) Trace it! (aka Data Tagging Lineage)

Do you know the story of Theseus and the Minotaur? Minotaur lives in a labyrinth and so does Ariadne who was in charge of the labyrinth. Ariadne gave Theseus a ball of thread to help him navigate the labyrinth by tracing his path back.And this is a little bit similar approach.

The whole idea is that each piece of data that is being moved or transformed is tagged / labeled by a transformation engine which then tracks that label all its way from start to the end. It is like that Theseus. This approach looks great but it works well only as long as a transformation engine controls every movement of data. A good example is a controlled environment like Cloudera.

But anything happens outside its walls and lineage is broken. It is also important to realize that lineage is there only if transformation logic is executed. But think about all exceptions or rules that apply only once per a couple of years. You will not see them in your lineage till they are executed which is not exactly healthy for your data governance. Especially if some of those pieces are critical to your organization.

Option 5) Control it! (aka Self Lineage)

The whole idea here is that you have all-in-one environment that gives you everything you need – you can define your logic there, track lineage, manage master data and metadata easily, etc. There are several tools like that, especially with the new Big Data / Data Lake hype. If you have a software product of this kind, all happens under its control, every data movement, every change of data. And so, it is easy for such a tool to track the lineage.

But there is the very same issue as in the previous case with Data Tagging. All what happens outside the controlled environment is invisible. Especially when you think of long term manageability, over the time as new needs appear and new tools are acquired to address them, gaps in the lineage start to appear.

Option 6) Decode it! (aka Decoded Lineage)

Ok, so now we know that logic can be ignored, traced thanks to tags and controlled. But all those approaches fall short in most real-life scenarios. Why? Simply because the world is complex, heterogeneous, wild and most importantly – constantly evolves.

But there is still one other way – to read all the logic, to understand it and reverse engineer it. It literally means to understand every programming language used in your organization for data transformations and movements. And by programming language I mean really everything, including graphic or XML based languages used by ETL tools or reports. And that is the challenging part. It is not easy to develop sufficient support for one language, you need tens of them in most cases to cover basics of your environment.

Another challenging issue is when the code is dynamic, which means that you build your expressions on the fly based on program inputs, data in tables, environmental variables, etc. But there are ways how to handle such situations. On the other hand, this approach is the most accurate and complete as every single piece of logic is processed. It also guarantees the most detailed lineage of all.

An earlier version of this article was published on Tomas Kratky’s LinkedIn Pulse.

MANTA + Informatica EDC Tech Bond

MANTA can complete the Enterprise Data Catalog data governance solution from Informatica with some really tough programming code. In the following article we will let you zoom in on all the details of this technical bond. (INCLUDING A NEW VIDEO!)

MANTA can complete the Enterprise Data Catalog data governance solution from Informatica with some really tough programming code. In the following article we will let you zoom in on all the details of this technical bond. (INCLUDING A NEW VIDEO!)

MANTA connects to Informatica EDC and enhances all of its data lineag:

  1. MANTA connects to the same sources as EDC, and scans all the scripts.
  2. Then, it automatically provides data lineage from those scripts and integrates it with EDC’s native resources.
  3. Finally, MANTA analyzes programming code that is out of EDC’s native scope, e.g. stored procedures, views, triggers and other scripts.

With MANTA, every Informatica customer can see how every procedure works, find out how the data is transformed between tables, and get complete end-to-end data lineage down to the column level.

Here you can watch our brand new video where Lukas explains how the technical bond works:

Like our videos? There are more where that came from! Check out our video section right here. And don’t forget to subscribe to our YouTube channel! 

As you have heard in the video above, MANTA can enrich Informatica’s Enterprise Data Catalog with a number of SQL scripts, that allow EDC to show much more depth and detail than it normally could. Here is a list of scripts that MANTA currently pushes into Informatica.

What MANTA currently pushes into Informatica’s Enterprise Data Catalog:

  • BTEQ scripts, stored procedures, views, and macros from Teradata
  • PL/SQL scripts, stored procedures, packages, and more, including DB links, from Oracle DB & Exadata
  • T-SQL scripts, stored procedures, and more, including linked servers, from Microsoft SQL Server, Sybase (now SAP ASE), and PDW
  • NZPLSQL scripts, stored procedures, and more from IBM Netezza
  • DB2 scripts, stored procedures, and more from IBM DB2
  • PostgreSQL scripts, views and more from PostgreSQL, Amazon Redshift and Greenplum

It’s all about the details

MANTA’s key feature is its understanding superpower. The ability to read even the most complex custom code is crucial for obtaining detailed and complete end-to-end data lineage. This can also be used for real data protection analysis, automated business lineage extraction, migration of your DWH to a different platform or the cloud, and to comply with regulations such as GDPR, Basil II/III, and many more.

For customers who have EDC’s older brother, Informatica Metadata Manager, we have a connector for IMM as well. And for customers who have neither, but enjoy the advanced ETL capabilities of Informatica PowerCenter, we are also able to provide data lineage in our own visualization.

All our supported technologies, both scanners and integrations can be found here. If there is anything else you would like to talk to us about, don’t hesitate to contact us at

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