EDB Postgres Advanced Server vs. H2 Database Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
EDB Postgres Advanced Server
Score 10.0 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
H2 Database
Score 8.0 out of 10
N/A
H2 Database Engine is an open source, embeddable database management system (RDMS) written in Java.N/A
Pricing
EDB Postgres Advanced ServerH2 Database Engine
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
EDB Postgres Advanced ServerH2 Database
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
EDB Postgres Advanced ServerH2 Database Engine
Best Alternatives
EDB Postgres Advanced ServerH2 Database Engine
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
InfluxDB
InfluxDB
Score 8.8 out of 10
Medium-sized Companies
InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
SQLite
SQLite
Score 8.0 out of 10
Enterprises
SAP IQ
SAP IQ
Score 10.0 out of 10
SQLite
SQLite
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
EDB Postgres Advanced ServerH2 Database Engine
Likelihood to Recommend
10.0
(2 ratings)
8.0
(2 ratings)
User Testimonials
EDB Postgres Advanced ServerH2 Database Engine
Likelihood to Recommend
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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Open Source
For running application tests it's well suited. H2 [Database Engine] can replace the real-world database solution for them easily and removes the requirement to set up a a separate database instance just for running unit tests. For using in actual production application one needs to consider scale. H2 is suitable if application runs in single instance and database is located in same machine as a file where that application runs. This means the application shouldn't have a large user base. However it's easy to switch to an actual MySQL instance if the need arises, it's most likely only a configuration change and doesn't require new code.
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Pros
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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Open Source
  • Can run as an in-memory database.
  • Simple and quick to get started with, and is light weight (only 2MB).
  • SQL compliant so it compatible with most relational databases.
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Cons
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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Open Source
  • There's a warning in official FAQ "Is it Reliable?"-section which makes it seem like H2 is not yet a mature product.
  • If raw SQL queries are used there maybe be differences between MySQL & H2. ORM library should be used.
  • Support seems to be community-based only.
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Alternatives Considered
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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Open Source
While both can run as an in-memory database, H2 Database Engine was just so much easier for us to use since we primarily use the Java stack and H2 Database Engine is also built with Java.
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Return on Investment
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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Open Source
  • Doesn't take time from developers, once it's configs are set up for testing it works in everyone's development environments
  • Easy to integrate in application, no need to setup separate database software, no maintenance
  • No need to deal with infrastructure related issues/costs - database runs in same machine as the application that uses it.
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