ClickHouse vs. EDB Postgres Advanced Server

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
ClickHouse
Score 9.3 out of 10
N/A
ClickHouse is an open-source column-oriented database management system developed at Yandex, that manages large volumes of data, including non-aggregated data, and allows generating custom data reports in real time. The system is linearly scalable and can be scaled up to store and process trillions of rows and petabytes of data.N/A
EDB Postgres Advanced Server
Score 7.0 out of 10
N/A
The EDB Postgres Advanced Server is an advanced deployment of the PostgreSQL relational database with greater features and Oracle compatibility, from EnterpriseDB headquartered in Bedford, Massachusetts.N/A
Pricing
ClickHouseEDB Postgres Advanced Server
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
ClickHouseEDB Postgres Advanced Server
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
ClickHouseEDB Postgres Advanced Server
Top Pros
Top Cons
Best Alternatives
ClickHouseEDB Postgres Advanced Server
Small Businesses
SingleStore
SingleStore
Score 9.3 out of 10
SingleStore
SingleStore
Score 9.3 out of 10
Medium-sized Companies
SingleStore
SingleStore
Score 9.3 out of 10
SingleStore
SingleStore
Score 9.3 out of 10
Enterprises
SAP IQ
SAP IQ
Score 9.4 out of 10
SingleStore
SingleStore
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ClickHouseEDB Postgres Advanced Server
Likelihood to Recommend
9.0
(1 ratings)
10.0
(2 ratings)
User Testimonials
ClickHouseEDB Postgres Advanced Server
Likelihood to Recommend
Yandex
The most important thing when using ClickHouse is to be clear that the scenarios in which you want to use it really are the right ones. Many users think that when a database is very fast for a specific use case, it can be extrapolated to other contexts (most of the time different) in which a previous analysis has not been carried out.
ClickHouse is an analytical database, as such, it should be used for such purposes, where the information is stored correctly, the data volumes are really large and the queries to be performed are not the typical traditional queries on several columns with multiple aggregations. ClickHouse is not the solution for this.
On the other hand, if your case is not one of the above, it is quite possible that ClickHouse can help you. Where ClickHouse shines is when you are looking for aggregation over a particular column in large volumes of data.
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EnterpriseDB
It's great if you are using or wish to use PostgreSQL and need the added performance optimization, security features and developer and DBA tools. If you need compatibility with Oracle it's a must-have. There are many developer features that greatly assist dev teams in integrating and implementing complex middleware. It's great for optimizing complex database queries as well as for scaling. I would recommend Postgres Plus Advanced Server for any software development team that is hitting the limit of what PostgreSQL is capable of and wants to improve performance, security, and gain extra developer tools.
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Pros
Yandex
  • Opensource
  • High performance
  • Multiple engines to adapt user cases
  • Easy configuration of data replication
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EnterpriseDB
  • PPAS Oracle compatibility, especially the PL/SQL syntax, has made migrating database-tier code very simple. Most Oracle packages do not need to be changed at all and those that do are generally for simple reasons like a reserved word in PPAS that is allowed in Oracle.
  • PPAS xDB, the multi-master replication tool, is simple and - most important - does not break with network or other interruptions. We have been able to configure and forget, which our customers could never do with other multi-master tools.
  • Most people had no idea that PPAS and PostgreSQL have full CRUD support for JSON. They think you need a specialized product and/or that JSON is read-only. Every organization that I have worked with is evaluating adding JSON to their relational model.
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Cons
Yandex
  • Avro data manipulation
  • Kafka consistency
  • DDL operations errors (by replica configuration)
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EnterpriseDB
  • Documentation is excellent but spread out across many resources and can take a while to wade through—would benefit from having more intro level, getting started guides for various languages.
  • Ruby support is excellent but more Ruby examples and beginner-level documentation would be nice.
  • It is sometimes hard to find a community of users on StackOverflow so a larger community, and a dedicated forum with active members to answer questions and work through issues would be nice.
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Alternatives Considered
Yandex
ClickHouse was not compared to them as a competitor but as the ideal partner to complete an information analysis system, providing users with the most complete and efficient tools. Therefore, in this case it was considered that it would be the ideal candidate due to its characteristics compared to the other competitors.
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EnterpriseDB
PPAS proved better for our customer's data-centric apps than Oracle in all but a few edge cases (encryption at rest and multi-TB database-tier backups) because it is simpler to install/maintain, runs nearly all Oracle-syntax SQL as well as ANSI SQL. PPAS has much more JSON capabilities (full CRUD vs. read-only in Oracle), simpler geospatial, simpler / more stable replication and datatypes that match developer expectations, such as BOOLEAN and ENUMs.
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Return on Investment
Yandex
  • Queries that used to take more than 2 minutes now take less than 1 second
  • Possibility to analyze use cases in real time (before was impossible)
  • The applications are more complete and the users decisions are better
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EnterpriseDB
  • Postgres Plus Advanced Server is quite complex and may take longer to implement certain things than simply using PostgreSQL depending on developer familiarity with the platform.
  • Getting up to speed can be daunting so again, there is an upfront cost in time spent learning the platform, besides the potential for extra time spent on a feature-by-feature basis.
  • The cost of Postgres Plus Advanced Server should be weighed against simply using PostgreSQL to decide which is the best solution for your business needs.
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