Lotame is the flagship data management platform (DMP) from Lotame Solutions in Columbia, Maryland, billed as a cross-screen DMP that leverages "second-party" data (i.e. first-party data acquired via strategic partners).
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PrestoDB (or Presto)
Score10 out of 10
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Presto is an open source SQL query engine designed to run queries on data stored in Hadoop or in traditional databases.
Teradata supported development of Presto followed the acquisition of Hadapt and Revelytix.
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Pricing
Lotame
PrestoDB (or Presto)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Lotame
PrestoDB (or Presto)
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Features
Lotame
PrestoDB (or Presto)
Data Collection
Comparison of Data Collection features of Lotame and PrestoDB (or Presto)
Feature
Lotame
6.3
8 Ratings
26% below category average
PrestoDB (or Presto)
-
Ratings
Collection of first-party data
6.08 Ratings
00 Ratings
Collection of third-party data
9.07 Ratings
00 Ratings
Access to Third-party Data Providers
4.08 Ratings
00 Ratings
Data Classification
Comparison of Data Classification features of Lotame and PrestoDB (or Presto)
Feature
Lotame
7.7
8 Ratings
7% below category average
PrestoDB (or Presto)
-
Ratings
Audience taxonomy
7.08 Ratings
00 Ratings
Tag Management
8.07 Ratings
00 Ratings
Data Analysis Dashboard
8.08 Ratings
00 Ratings
Ad Network Integration
Comparison of Ad Network Integration features of Lotame and PrestoDB (or Presto)
Feature
Lotame
6.0
7 Ratings
28% below category average
PrestoDB (or Presto)
-
Ratings
Data Transfer
5.06 Ratings
00 Ratings
DSP integration
7.07 Ratings
00 Ratings
DMP Analytics
Comparison of DMP Analytics features of Lotame and PrestoDB (or Presto)
Well suited for advertising business. Has a lot of links to all relevant technologies. It is also a great platform if you want to buy or sell data and look for quality here. But you need a team which knows how to handle data. Less appropriate when you expect a fully managed service.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Presto is for interactive simple queries, where Hive is for reliable processing. If you have a fact-dim join, presto is great..however for fact-fact joins presto is not the solution.. Presto is a great replacement for proprietary technology like Vertica
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Linking, embedding links and adding images is easy enough.
Once you have become familiar with the interface, Presto becomes very quick & easy to use (but, you have to practice & repeat to know what you are doing - it is not as intuitive as one would hope).
Organizing & design is fairly simple with click & drag parameters.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
So far we haven't encountered too many "needs improvement" pain points with Lotame - if we've had a problem so far it's been more a matter of needing to learn that particular action than any fault of Lotame.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Presto was not designed for large fact fact joins. This is by design as presto does not leverage disk and used memory for processing which in turn makes it fast.. However, this is a tradeoff..in an ideal world, people would like to use one system for all their use cases, and presto should get exhaustive by solving this problem.
Resource allocation is not similar to YARN and presto has a priority queue based query resource allocation..so a query that takes long takes longer...this might be alleviated by giving some more control back to the user to define priority/override.
UDF Support is not available in presto. You will have to write your own functions..while this is good for performance, it comes at a huge overhead of building exclusively for presto and not being interoperable with other systems like Hive, SparkSQL etc.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
There are alternatives in the market - Visual DNA, Bluekai/Oracle/ Adobe Audience Manager, Krux. They all offer a similar offering, however, I prefer the easy UI which is very intuitive even for beginners to the DMP world.
Presto is good for a templated design appeal. You cannot be too creative via this interface - but, the layout and options make the finalized visual product appealing to customers. The other design products I use are for different purposes and not really comparable to Presto.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info