PostgreSQL (alternately Postgres) is a free and open source object-relational database system boasting over 30 years of active development, reliability, feature robustness, and performance. It supports SQL and is designed to support various workloads flexibly.
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SAP Replication Server
Score 9.0 out of 10
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SAP's Sybase Replication Server is database development and management software.
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Pricing
PostgreSQL
SAP Replication Server
Editions & Modules
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Offerings
Pricing Offerings
PostgreSQL
SAP Replication Server
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
PostgreSQL
SAP Replication Server
Features
PostgreSQL
SAP Replication Server
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
PostgreSQL
-
Ratings
SAP Replication Server
10.0
3 Ratings
19% above category average
Connect to traditional data sources
00 Ratings
10.03 Ratings
Connecto to Big Data and NoSQL
00 Ratings
10.02 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
PostgreSQL
-
Ratings
SAP Replication Server
10.0
3 Ratings
21% above category average
Simple transformations
00 Ratings
10.03 Ratings
Complex transformations
00 Ratings
10.03 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
PostgreSQL
-
Ratings
SAP Replication Server
7.6
3 Ratings
3% below category average
Data model creation
00 Ratings
8.03 Ratings
Metadata management
00 Ratings
8.03 Ratings
Business rules and workflow
00 Ratings
7.03 Ratings
Collaboration
00 Ratings
7.02 Ratings
Testing and debugging
00 Ratings
8.02 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
PostgreSQL is best used for structured data, and best when following relational database design principles. I would not use PostgreSQL for large unstructured data such as video, images, sound files, xml documents, web-pages, especially if these files have their own highly variable, internal structure.
I asked questions about a warm standby and multicast replication. We ended up using bi-directional replication and a warm standby db. Having 3 or more live OLTP DB's where each was read-write was going to be difficult to manage for contention if the same table was being updated. We stuck with an easier solution to have only two OLTP's, and then used additional DB's as read-only DW's.
Postgresql is the best tool out there for relational data so I have to give it a high rating when it comes to analytics, data availability and consistency, so on and so forth. SQL is also a relatively consistent language so when it comes to building new tables and loading data in from the OLTP database, there are enough tools where we can perform ETL on a scalable basis.
The data queries are relatively quick for a small to medium sized table. With complex joins, and a wide and deep table however, the performance of the query has room for improvement.
There are several companies that you can contract for technical support, like EnterpriseDB or Percona, both first level in expertise and commitment to the software.
But we do not have contracts with them, we have done all the way from googling to forums, and never have a problem that we cannot resolve or pass around. And for dozens of projects and more than 15 years now.
SAP support has been outstanding. They have quick response times and always meet their SLAs. Any time we have an issue that needs to be researched they are able to get back to us quickly with resolution.
The online training is request based. Had there been recorded videos available online for potential users to benefit from, I could have rated it higher. The online documentation however is very helpful. The online documentation PDF is downloadable and allows users to pace their own learning. With examples and code snippets, the documentation is great starting point.
Although the competition between the different databases is increasingly aggressive in the sense that they provide many improvements, new functionalities, compatibility with complementary components or environments, in some cases it requires that it be followed within the same family of applications that performs the company that develops it and that is not all bad, but being able to adapt or configure different programs, applications or other environments developed by third parties apart is what gives PostgreSQL a certain advantage and this diversification in the components that can be joined with it, is the reason why it is a great option to choose.
Easy to administer so our DevOps team has only ever used minimal time to setup, tune, and maintain.
Easy to interface with so our Engineering team has only ever used minimal time to query or modify the database. Getting the data is straightforward, what we do with it is the bigger concern.