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Apache Druid vs. TDengine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Druid
Score 9.9 out of 10
N/A
Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture.N/A
TDengine
Score 0.0 out of 10
N/A
TDengine™ is an open-source, cloud-native time-series database (TSDB) optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. It enables the real-time ingestion, processing, and monitoring of petabytes of data per day, generated by billions of sensors and data collectors. The major benefits of TDengine are as follows: High performance: TDengine does not suffer from performance degradation with high-cardinality data…
$820
per month
Pricing
Apache DruidTDengine
Editions & Modules
No answers on this topic
TDengine Cloud Starter
$820
per month
TDengine Cloud Small
$1,640
per month
TDengine Cloud Medium
$3,290
per month
TDengine Cloud Large
$6,570
per month
TDengine Cloud XLarge
$13,150
per month
TDengine OSS
Free
TDengine Enterprise
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Offerings
Pricing Offerings
DruidTDengine
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Best Alternatives
Apache DruidTDengine
Small Businesses
InfluxDB
InfluxDB
Score 8.8 out of 10
InfluxDB
InfluxDB
Score 8.8 out of 10
Medium-sized Companies

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Enterprises

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All AlternativesView all alternativesView all alternatives
User Ratings
Apache DruidTDengine
Likelihood to Recommend
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Apache DruidTDengine
Likelihood to Recommend
Apache
It is extremely well suited to rapid ingest of data from large data sources, due to the fact that you can restrict what is ingested by column/field, so that you only pull in the data you actually want or need.
As stated earlier, the open source version could use better cluster management tools, and troubleshooting tools for failing jobs/tasks.
Verified User
Anonymous
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TDengine
No answers on this topic
Pros
Apache
  • Rapid ingest
  • Limiting ingest to only the relevant fields/columns
  • Easy ingest spec creation
Verified User
Anonymous
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TDengine
No answers on this topic
Cons
Apache
  • Security configuration is problematic
  • Cluster management could have more features
  • Troubleshooting incomplete tasks/jobs is a chore
Verified User
Anonymous
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TDengine
No answers on this topic
Return on Investment
Apache
  • Integration with S3 storage has saved about 35% on our storage, over HDFS
  • The rapid ingest has saved user's time in the query aspects of their applications.
  • The ability to ingest from a variety of data sources has made overall user application queries much simpler
Verified User
Anonymous
Read full review
TDengine
No answers on this topic
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