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Score 8.3 out of 101
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Score 7.6 out of 101

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Likelihood to Recommend

Amazon Aurora

Many places where Aurora is well suited:
  • If you are trying to build a serverless backend.
  • Amazon hosted relational database service (RDS). So we do not have to manage the database maintenance.
  • Backup and archival can be done to AWS S3, which is very convenient.
  • It provides high performance and scalability.
  • It's very secure. You could use AWS Key management service (KMS) to encrypt and store data on AWS Aurora.
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Presto

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
Praveen Murugesan profile photo

Pros

  • Aurora is a relational database as a service on AWS which is MySQL and Postgres compatible. So if you are looking for a serverless option which going through need to host and manage a database then Aurora as a service is great.
  • It is a simple and cost-effective open source database which is much cheaper than a normal database cost. Hence very efficient for microservices database where you do not need one very large centralized database but many small databases that are available and low latency.
  • Aurora provides high performance and low latency. Last year they also announced multi-master in the same region and read replicas in multiple regions. This is very convenient if you are trying to design and build a highly reliable application.
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  • Fast - Presto, is incredibly fast due to its optimized query engine and is well suited for interactive analysis.
  • Flexible - Presto is highly flexible as it operates with a plug and play model for data sources. Joining and query across different data sources is very easy with presto (eg. HDFS, MySQL, Kafka).
  • ANSI Sql - Presto follows ANSI SQL which is the recognized SQL language and hence helps allow easy query migration without much overhead.
  • Large Fact + Small Dimension table joins made fast - By design presto excels most distributed query engines out there in this type of queries.
Praveen Murugesan profile photo

Cons

  • The cost of Amazon Aurora when compared to a simple MySQL instance is considerably higher, so we really need to look at and run some performance tests to compare if the performance improvements are worth the extra cost.
  • Although backup restores are a rare feature to use, when we need them it is always painful to restore our data. We are always searching for a database service to provide new and innovating features in terms of data recovery. For instance, being able to search on backup information to see if the needed data is there. It is a very common need to compare the hot data with the backup data, for example to fix some database data that a malfunction application wrongly updated.
  • Since aurora is an Amazon relational database service there is no way to run a dev database on a local storage for tests and development.
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  • 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.
Praveen Murugesan profile photo

Alternatives Considered

In the end, we went with Amazon Aurora due to the decent performance and cost. Cost was determined in two ways for us: 1) no additional license is required (such as using SQL Server or Oracle) and 2) the ability to cut down on needed resources to maintain the system from the maintenance perspective due to the built-in maintenance capabilities. Amazon Aurora is also based on MySQL (soon to include PostgreSQL ) which allowed my team to quickly and easily move our existing MySQL servers to a faster system.
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I think Presto is one of the best solutions out there today at the cutting edge for interactive query analysis. One of the challenges is presto is a niche tool for the interactive query use case and doesn't have the knobs and whistles as much as Spark. In the foreseeable future if they are able to make presto work without the need for Hive, solving all the gaps it could be game changing and can be a direct threat to spark
Praveen Murugesan profile photo

Return on Investment

  • The main positive for my team is the time that has been freed up from the tasks of managing updates and fixing replication issues.
  • A negative for myself as a database administrator is removal of features that were available in Mysql. Examples include 1) the use of the storage engines other than InnoDB (such as the Federated Storage Engine), 2) certain administrative privileges such as ability to export to csv file and easy ability to kill processes. I seem to also forget they removed the built-in kill ability and you must use their own provided kill functionality.
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  • Presto has helped scale Uber's interactive data needs. We have migrated a lot out of proprietary tech like Vertica.
  • Presto has helped build data driven applications on its stack than maintain a separate online/offline stack.
  • Presto has helped us build data exploration tools by leveraging it's power of interactive and is immensely valuable for data scientists.
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Pricing Details

Amazon Aurora

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Presto

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details