Most Helpful Review
Use Exasol? Share your opinion.
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
The speed is very good compared to other databases, like SQL Server or Oracle.
The most valuable features are the Shared-nothing architecture and data protection functionality.
The feature that we find most valuable is its ability to perform Massive Parallel Processing.
It handles large amounts of information with a linear performance increase, in relation to a HW investment.
It has a solid set of tools and consulting services.
It has massive parallel processing ability to do large amounts of concurrent querying.
It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs.
Cuts time to process huge amounts of data with efficient analytical queries.
A conventional and easily defined way to build a data warehouse or a layer of data marts.
They don't talk very well to with other products when it comes to connectivity. Integration is lacking.
The user interface needs to be improved.
I would like to see an improved Knowledge Base on the web.
It needs a teaching web site with more training on third-party tools used for BI.
We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata.
There is a need to improve performance in high transaction processes, as well as the reporting system.
Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required).
Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect.
Needs compatibility with more Big Data platforms.
Pricing and Cost Advice
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The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space.
We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise.
Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world.
Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud.
It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors.
out of 30 in Relational Databases
Average Words per Review
out of 30 in Relational Databases
Average Words per Review
Compared 21% of the time.
Compared 19% of the time.
Compared 12% of the time.
We’re redefining what it means to be an analytics database company. Put simply, our high-performance in-memory analytics database gives you the power to transform how your organization works with data, on-premises, in the cloud or both – and turn it into value faster, easier and more cost effectively than ever before. What makes our analytics database different? Unrivalled performance Unlock analytics as fast as you think – and get unrivalled performance, anywhere you have data. Our database does this at scale, by processing 100's of TBs of data within milliseconds. We’re ranked the world’s fastest by TPC-H, the industry benchmark for evaluating performance. And you’ll get this anywhere you have data – be in on the cloud, on-premise or as part of a hybrid http://approach.So, when speed to value is key for building a highly successful data environment, you’ll have everything to stay ahead of your competitors. Significantly reduced TCO An intelligent, self-tuning and resource-efficient database – giving you complete cost predictability for your cloud, on-premises or hybrid strategy. There’s minimum maintenance and our database works as part of our existing infrastructure. So, you’ll get the predictability, flexibility and control to significantly minimize your TCO over the long term. Unifying AI and BI Operationalize your AI, ML and BI teams – using any BI tool and data science language. Our architecture enables you to perform advanced analytical tasks on large volumes of data – right in the database. And we’ve made it easy to bring Artificial Intelligence (AI) and Machine Learning (ML) algorithms and (BI) Business Intelligence directly to where you keep your data – so you can solve complex analytic challenges like predictive analytics with the minimum of fuss. Complete freedom to adapt and change With no platform, vendor or architecture lock-in. You’re free to adapt your data strategy to whatever you need. Our open integration framework is designed to give you the smartest and most extensible analytics database on the planet. Along with multi-platform and deployment support, our virtual schemas enable you to connect and analyse data from more sources than ever before – and the scalability options are limitless.
Teradata's portfolio of big data analytic solutions, integrated marketing applications, and services help organizations gain a sustainable competitive advantage with data.
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