Apache Drill vs. ArangoDB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Drill
Score 8.1 out of 10
N/A
Apache Drill is a schema-free query engine for use with NoSQL or Hadoop data or file storage systems and databases.N/A
ArangoDB
Score 8.0 out of 10
N/A
ArangoDB is a distributed free and open-source database with a flexible data model for graphs, documents, and key-values. Its supporters state that developers can build high performance applications on top of ArangoDB using a convenient SQL-like query language or JavaScript extensions.N/A
Pricing
Apache DrillArangoDB
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache DrillArangoDB
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache DrillArangoDB
Top Pros
Top Cons
Best Alternatives
Apache DrillArangoDB
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.8 out of 10
InfluxDB
InfluxDB
Score 8.7 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.8 out of 10
SQLite
SQLite
Score 9.3 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.8 out of 10
SQLite
SQLite
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache DrillArangoDB
Likelihood to Recommend
8.0
(1 ratings)
8.0
(1 ratings)
Likelihood to Renew
7.0
(1 ratings)
-
(0 ratings)
User Testimonials
Apache DrillArangoDB
Likelihood to Recommend
Apache
if you're doing joins from hBASE, hdfs, cassandra and redis, then this works. Using it as a be all end all does not suit it. This is not your straight forward magic software that works for all scenarios. One needs to determine the use case to see if Apache Drill fits the needs. 3/4 of the time, usually it does.
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ArangoDB
Use cases provided by default are good and can be improve better using Machine Learning and AI. AQL query language is very simple and efficient in use if anyone using SQL can quickly learn AQL Language.
Developers can easily map the database and can access various patterns like search, ranking.
JSON and semantic search is the latest and next-generation technology to implement to access and extract large datasets.
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Pros
Apache
  • queries multiple data sources with ease.
  • supports sql, so non technical users who know sql, can run query sets
  • 3rd party tools, like tableau, zoom data and looker were able to connect with no issues
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ArangoDB
  • AQL query language is big plus for ArangoDB
  • It can be implemented cloud as well as on-prem
  • Search Engine is a very good option for ArangoDB
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Cons
Apache
  • deployment. Not as easy
  • configuration isn't as straight forward, especially with the documentation
  • Garbage collection could be improved upon
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ArangoDB
  • By providing the free services for few months will be help understand for beginners
  • Enhancing features in dashboard and can make UI more user-friendly
  • Should conduct more surveys and adv to improve scalability
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Likelihood to Renew
Apache
if Presto comes up with more support (ie hbase, s3), then its strongly possible that we'll move from apache drill to prestoDB. However, Apache drill needs more configuration ease, especially when it comes to garbage collection tuning. If apache drill could support also sparkSQL and Flume, then it does change drill into being something more valuable than prestoDB
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ArangoDB
No answers on this topic
Alternatives Considered
Apache
compared to presto, has more support than prestodb. Impala has limitations to what drill can support apache phoenix only supports for hbase. no support for cassandra. Apache drill was chosen, because of the multiple data stores that it supports htat the other 3 do not support. Presto does not support hbase as of yet. Impala does not support query to cassandra
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ArangoDB
It uses AQL query Language, which is different from other Databases. It has flexibility to integrate in cloud, on-prem anywhere
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Return on Investment
Apache
  • Configuration has taken some serious time out.
  • Garbage collection tuning. is a constant hassle. time and effort applied to it, vs dedicating resources elsewhere.
  • w/ sql support, reduces the need of devs to generate the resultset for analysts, when they can run queries themselves (if they know sql).
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ArangoDB
  • It is very powerful tool and should adv more to improve sales
  • Should conduct more free trails and trainings
  • Open source and runs everywhere
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ScreenShots