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Learn MorePros of Couchbase
Pros of IBM DB2
Pros of PostgreSQL
Pros of Couchbase
- High performance18
- Flexible data model, easy scalability, extremely fast18
- Mobile app support9
- You can query it with Ansi-92 SQL7
- All nodes can be read/write6
- Equal nodes in cluster, allowing fast, flexible changes5
- Both a key-value store and document (JSON) db5
- Open source, community and enterprise editions5
- Automatic configuration of sharding4
- Local cache capability4
- Easy setup3
- Linearly scalable, useful to large number of tps3
- Easy cluster administration3
- Cross data center replication3
- SDKs in popular programming languages3
- Elasticsearch connector3
- Web based management, query and monitoring panel3
- Map reduce views2
- DBaaS available2
- NoSQL2
- Buckets, Scopes, Collections & Documents1
- FTS + SQL together1
Pros of IBM DB2
- Rock solid and very scalable7
- BLU Analytics is amazingly fast5
- Native XML support2
- Secure by default2
- Easy2
- Best performance1
Pros of PostgreSQL
- Relational database762
- 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
- Extensible32
- Replication28
- Triggers26
- Rollback23
- Multiversion concurrency control22
- 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
- Intelligent optimizer8
- Free8
- Scalable8
- Reliable8
- Transactional DDL7
- Modern7
- One stop solution for all things sql no matter the os6
- Relational database with MVCC5
- Faster Development5
- Developer friendly4
- Full-Text Search4
- Free version3
- Great DB for Transactional system or Application3
- Relational datanbase3
- search3
- Open-source3
- Excellent source code3
- Full-text2
- Text2
- Native0
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Cons of Couchbase
Cons of IBM DB2
Cons of PostgreSQL
Cons of Couchbase
- Terrible query language3
Cons of IBM DB2
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Cons of PostgreSQL
- Table/index bloatings10
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What is Couchbase?
Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
What is IBM DB2?
DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.
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.
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Jobs that mention Couchbase, IBM DB2, and PostgreSQL as a desired skillset
What companies use Couchbase?
What companies use IBM DB2?
What companies use PostgreSQL?
What companies use Couchbase?
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What tools integrate with Couchbase?
What tools integrate with IBM DB2?
What tools integrate with PostgreSQL?
What tools integrate with Couchbase?
What tools integrate with PostgreSQL?
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What are some alternatives to Couchbase, IBM DB2, and PostgreSQL?
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.
CouchDB
Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
HBase
Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.