Apache Derby vs. QuestDB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Derby
Score 7.0 out of 10
N/A
Apache Derby is an embedded relational database management system, originally developed by IBM and called IBM Cloudscape.N/A
QuestDB
Score 10.0 out of 10
N/A
QuestDB is an open source time series database. It implements SQL and exposes a Postgres wire protocol, a REST API, and supports ingestion with InfluxDB line protocol.N/A
Pricing
Apache DerbyQuestDB
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache DerbyQuestDB
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Best Alternatives
Apache DerbyQuestDB
Small Businesses
SQLite
SQLite
Score 9.0 out of 10
InfluxDB
InfluxDB
Score 8.4 out of 10
Medium-sized Companies
SQLite
SQLite
Score 9.0 out of 10

No answers on this topic

Enterprises
SQLite
SQLite
Score 9.0 out of 10

No answers on this topic

All AlternativesView all alternativesView all alternatives
User Ratings
Apache DerbyQuestDB
Likelihood to Recommend
7.0
(3 ratings)
10.0
(1 ratings)
User Testimonials
Apache DerbyQuestDB
Likelihood to Recommend
Apache
If you need a SQL-capable database-like solution that is file-based and embeddable in your existing Java Virtual Machine processes, Apache Derby is an open-source, zero cost, robust and performant option. You can use it to store structured relational data but in small files that can be deployed right alongside with your solution, such as storing a set of relational master data or configuration settings inside your binary package that is deployed/installed on servers or client machines.
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QuestDB
QuestDB is well suited for any use case where you need to store large amount of data and the performance is the key factor - for both reads and writes. So use cases like market data storage in financial industry, any kind of telemetry, etc.
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Pros
Apache
  • Apache Derby is SMALL. Compared to an enterprise scale system such as MSSQL, it's footprint is very tiny, and it works well as a local database.
  • The SPEED. I have found that Apache Derby is very fast, given the environment I was developing in.
  • Based in JAVA (I know that's an obvious thing to say), but Java allows you to write some elegant Object Oriented structures, thus allowing for fast, Agile test cases against the database.
  • Derby is EASY to implement and can be accessed from a console with little difficulty. Making it appropriate for everything from small embedded systems (i.e. just a bash shell and a little bit of supporting libraries) to massive workstations.
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QuestDB
  • Extreme performance.
  • Super easy to use.
  • Compatibility with Influx line protocol.
  • PostgreSQL compatibility.
  • Out of order timestamps.
  • Support for multiple records with same timestamp.
  • Integration with Grafana.
  • Team responsiveness.
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Cons
Apache
  • It may not scale as well as some more mature database products.
  • Used it primarily from the command line with openjpa and jdbc, and from third-party clients such as Squirrel.
  • May benefit by providing more sophisticated tools to optimize query performance.
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QuestDB
  • New project so needs a bit polishing.
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Alternatives Considered
Apache
SQLite is another open-source zero-cost file-based SQL-capable database solution and is a good alternative to Apache Derby, especially for non-Java-based solutions. We chose Apache Derby as it is Java-based, and so is the solution we embedded it in. However, SQLite has a similar feature set and is widely used in the industry to serve the same purposes for native solutions such as C or C++-based products.
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QuestDB
We were looking for time series database that will be able to handle L2 market data and came across QuestDB. From the beginning we were impressed how well the QuestDB performs and that it actually significantly outperforms all other open source TSDB on market like InfluxDB, ClickHouse, Timescale, etc. Apart from the excellent performance it is also super easy to use and deploy which makes the experience of using the database very pleasant - we were able to be up and running and storing data within few hours. Topic itself is the QuestDB team that is super responsive on their slack channel and always ready to help with any query. They are constantly improving the product and if there is some missing feature that is blocking you from usage they always try the best to implement such feature asap and release a new version - one of the best support I have ever seen so far in open source community.
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Return on Investment
Apache
  • Being Open source, the resources spent on the purchase of the product are ZERO.
  • Contrary to popular belief, open source software CAN provide support, provided that the developers/contributors are willing to answer your emails.
  • Overall, the ROI was positive: being able to experiment with an open source technology that could perform on par with the corporate products was promising, and gave us much information about how to proceed in the future.
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QuestDB
  • Reduced cost.
  • Increased efficiency.
  • Faster time to market.
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ScreenShots

QuestDB Screenshots

Screenshot of Fast SQL for time seriesScreenshot of Console to query and visualize dataF