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Learn MorePros of PostgreSQL
Pros of RSKafka
Pros of PostgreSQL
- Relational database763
- High availability510
- Enterprise class database439
- Sql383
- Sql + nosql304
- Great community173
- Easy to setup147
- Heroku131
- Secure by default130
- Postgis113
- Supports Key-Value50
- Great JSON support48
- Cross platform34
- Extensible33
- Replication28
- Triggers26
- Multiversion concurrency control23
- Rollback23
- Open source21
- Heroku Add-on18
- Stable, Simple and Good Performance17
- Powerful15
- Lets be serious, what other SQL DB would you go for?13
- Good documentation11
- Scalable9
- Free8
- Reliable8
- Intelligent optimizer8
- Transactional DDL7
- Modern7
- One stop solution for all things sql no matter the os6
- Relational database with MVCC5
- Faster Development5
- Full-Text Search4
- Developer friendly4
- Excellent source code3
- Free version3
- Great DB for Transactional system or Application3
- Relational datanbase3
- search3
- Open-source3
- Text2
- Full-text2
- Can handle up to petabytes worth of size1
- Composability1
- Multiple procedural languages supported1
- Native0
Pros of RSKafka
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Cons of PostgreSQL
Cons of RSKafka
Cons of PostgreSQL
- Table/index bloatings10
Cons of RSKafka
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What is PostgreSQL?
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
What is RSKafka?
It aims to be a minimal Kafka implementation for simple workloads that wish to use Kafka as a distributed write-ahead log.
It is not a general-purpose Kafka implementation, instead, it is heavily optimised for simplicity, both in terms of implementation and its emergent operational characteristics.
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What companies use PostgreSQL?
What companies use RSKafka?
What companies use PostgreSQL?
What companies use RSKafka?
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What tools integrate with PostgreSQL?
What tools integrate with RSKafka?
What tools integrate with PostgreSQL?
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What are some alternatives to PostgreSQL and RSKafka?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
MariaDB
Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
Oracle
Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
SQLite
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.