MarkLogic vs PostgreSQL vs RocksDB

Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

MarkLogic
MarkLogic

16
19
+ 1
23
PostgreSQL
PostgreSQL

19.4K
15.1K
+ 1
3.4K
RocksDB
RocksDB

48
64
+ 1
10
- No public GitHub repository available -

What is MarkLogic?

MarkLogic is the only Enterprise NoSQL database, bringing all the features you need into one unified system: a document-centric, schema-agnostic, structure-aware, clustered, transactional, secure, database server with built-in search and a full suite of application services.

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 RocksDB?

RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.
Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Why do developers choose MarkLogic?
Why do developers choose PostgreSQL?
Why do developers choose RocksDB?

Sign up to add, upvote and see more prosMake informed product decisions

    Be the first to leave a con
      Be the first to leave a con
      What companies use MarkLogic?
      What companies use PostgreSQL?
      What companies use RocksDB?

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with MarkLogic?
      What tools integrate with PostgreSQL?
      What tools integrate with RocksDB?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to MarkLogic, PostgreSQL, and RocksDB?
      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.
      Neo4j
      Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
      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.
      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.
      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.
      See all alternatives
      Decisions about MarkLogic, PostgreSQL, and RocksDB
      No stack decisions found
      Interest over time
      Reviews of MarkLogic, PostgreSQL, and RocksDB
      No reviews found
      How developers use MarkLogic, PostgreSQL, and RocksDB
      Avatar of AngeloR
      AngeloR uses PostgreSQLPostgreSQL

      We use postgresql for the merge between sql/nosql. A lot of our data is unstructured JSON, or JSON that is currently in flux due to some MVP/interation processes that are going on. PostgreSQL gives the capability to do this.

      At the moment PostgreSQL on amazon is only at 9.5 which is one minor version down from support for document fragment updates which is something that we are waiting for. However, that may be some ways away.

      Other than that, we are using PostgreSQL as our main SQL store as a replacement for all the MSSQL databases that we have. Not only does it have great support through RDS (small ops team), but it also has some great ways for us to migrate off RDS to managed EC2 instances down the line if we need to.

      Avatar of Cloudcraft
      Cloudcraft uses PostgreSQLPostgreSQL

      PostgreSQL combines the best aspects of traditional SQL databases such as reliability, consistent performance, transactions, querying power, etc. with the flexibility of schemaless noSQL systems that are all the rage these days. Through the powerful JSON column types and indexes, you can now have your cake and eat it too! PostgreSQL may seem a bit arcane and old fashioned at first, but the developers have clearly shown that they understand databases and the storage trends better than almost anyone else. It definitely deserves to be part of everyone's toolbox; when you find yourself needing rock solid performance, operational simplicity and reliability, reach for PostgresQL.

      Avatar of Brandon Adams
      Brandon Adams uses PostgreSQLPostgreSQL

      Relational data stores solve a lot of problems reasonably well. Postgres has some data types that are really handy such as spatial, json, and a plethora of useful dates and integers. It has good availability of indexing solutions, and is well-supported for both custom modifications as well as hosting options (I like Amazon's Postgres for RDS). I use HoneySQL for Clojure as a composable AST that translates reliably to SQL. I typically use JDBC on Clojure, usually via org.clojure/java.jdbc.

      Avatar of ReviewTrackers
      ReviewTrackers uses PostgreSQLPostgreSQL

      PostgreSQL is responsible for nearly all data storage, validation and integrity. We leverage constraints, functions and custom extensions to ensure we have only one source of truth for our data access rules and that those rules live as close to the data as possible. Call us crazy, but ORMs only lead to ruin and despair.

      Avatar of Jeff Flynn
      Jeff Flynn uses PostgreSQLPostgreSQL

      Tried MongoDB - early euphoria - later dread. Tried MySQL - not bad at all. Found PostgreSQL - will never go back. So much support for this it should be your first choice. Simple local (free) installation, and one-click setup in Heroku - lots of options in terms of pricing/performance combinations.

      How much does MarkLogic cost?
      How much does PostgreSQL cost?
      How much does RocksDB cost?
      Pricing unavailable
      Pricing unavailable
      Pricing unavailable
      News about MarkLogic
      More news