DBMS > Amazon Neptune vs. OceanBase vs. PostgreSQL vs. Sphinx
System Properties Comparison Amazon Neptune vs. OceanBase vs. PostgreSQL vs. Sphinx
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Name | Amazon Neptune Xexclude from comparison | OceanBase Xexclude from comparison | PostgreSQL Xexclude from comparison | Sphinx Xexclude from comparison | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | Fast, reliable graph database built for the cloud | A distributed, high available RDBMS compatible with Oracle and MySQL | Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL | Open source search engine for searching in data from different sources, e.g. relational databases | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Graph DBMS RDF store | Relational DBMS | Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module. | Search engine | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Document store Wide column store | Document store Graph DBMS with Apache Age Spatial DBMS Vector DBMS with pgvector extension | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | aws.amazon.com/neptune | en.oceanbase.com | www.postgresql.org | sphinxsearch.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | aws.amazon.com/neptune/developer-resources | en.oceanbase.com/docs/oceanbase-database | www.postgresql.org/docs | sphinxsearch.com/docs | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Amazon | OceanBase previously Alibaba and Ant Group | PostgreSQL Global Development Group www.postgresql.org/developer | Sphinx Technologies Inc. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2017 | 2010 | 1989 1989: Postgres, 1996: PostgreSQL | 2001 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 4.3.0, April 2024 | 16.4, August 2024 | 3.5.1, February 2023 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | commercial | Open Source Commercial license available | Open Source BSD | Open Source GPL version 2, commercial licence available | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | yes | no | no | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementation language | C++ | C | C++ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | hosted | Linux | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | FreeBSD Linux NetBSD OS X Solaris Windows | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | yes | yes | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | yes | yes | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | yes | yes specific XML-type available, but no XML query functionality. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | no | yes | yes | yes full-text index on all search fields | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | no | yes | yes standard with numerous extensions | SQL-like query language (SphinxQL) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | OpenCypher RDF 1.1 / SPARQL 1.1 TinkerPop Gremlin | JDBC ODBC ODP.NET Oracle Call Interface (OCI) Proprietary native API Table API | ADO.NET JDBC native C library ODBC streaming API for large objects | Proprietary protocol | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C# Go Java JavaScript PHP Python Ruby Scala | Ada in MySQL-compatible model C in Oracle- and MySQL- compatible models C++ in Oracle- and MySQL- compatible models D in MySQL-compatible model Delphi in MySQL-compatible model Eiffel in MySQL-compatible model Erlang in MySQL-compatible model Haskell in MySQL-compatible model Java in Oracle- and MySQL- compatible models JavaScript (Node.js) in MySQL-compatible model Objective-C in MySQL-compatible model OCaml in MySQL-compatible model Perl in MySQL-compatible model PHP in MySQL-compatible model Python in MySQL-compatible model Ruby in MySQL-compatible model Scheme in MySQL-compatible model Tcl in MySQL-compatible model | .Net C C++ Delphi Java JDBC JavaScript (Node.js) Perl PHP Python Tcl | C++ unofficial client library Java Perl unofficial client library PHP Python Ruby unofficial client library | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | no | PL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode | user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc. | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | no | yes | yes | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | none | horizontal partitioning (by hash, key, range, range columns, list, and list columns) | partitioning by range, list and (since PostgreSQL 11) by hash | Sharding Partitioning is done manually, search queries against distributed index is supported | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Multi-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances. | Multi-source replication using Paxos | Source-replica replication other methods possible by using 3rd party extensions | none | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | no | no | no | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency | Immediate Consistency | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | yes Relationships in graphs | yes | yes | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | ACID | ACID | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes with encyption-at-rest | yes | yes | yes The original contents of fields are not stored in the Sphinx index. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM) | Access rights for users, groups and roles according to SQL-standard | fine grained access rights according to SQL-standard | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Amazon Neptune | OceanBase | PostgreSQL | Sphinx | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | PostgreSQL is the DBMS of the Year 2023 Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 | The DB-Engines ranking includes now search engines PASS Data Community Summit How Apollo Tyres built their tyre genealogy solution using Amazon Neptune and Amazon Bedrock How Amazon stores deliver trustworthy shopping and seller experiences using Amazon Neptune Hydrating the Natural History Museum’s Planetary Knowledge Base with Amazon Neptune and Open Data on AWS Amazon Neptune Analytics now supports openCypher queries over RDF Graphs New Amazon Neptune engine version delivers up to 9 times faster and 10 times higher throughput for openCypher query performance provided by Google News Fintech giant Ant Group spins off database firm as Alibaba affiliates take stake Meet the Database Built for Modern-Day Pressures (And Your AI Dreams Too) OceanBase Inks Agreement with NTU Singapore in Database Optimization and Green Computing Advancements OceanBase Cloud Database Will Be Available on Google Cloud Marketplace OceanBase announces its listing on Google Cloud Marketplace, expanding cloud database services to 80 availability zones worldwide provided by Google News Migrate SQL Server databases to Babelfish for Aurora PostgreSQL using change tracking with a linked server 3 great new features in Postgres 17 Top 50+ Most Asked PostgreSQL Interview Questions 2024 Supabase raises $80m to expand PostgreSQL platform Intel Demonstrates Up To 48% Improvement For AVX-512 Optimized PostgreSQL provided by Google News Switching From Sphinx to MkDocs Documentation — What Did I Gain and Lose? Manticore is a Faster Alternative to Elasticsearch in C++ Beyond the Concert Hall: 5 Organizations Making a Difference in Classical Music in 2018 The Pirate Bay was recently down for over a week due to a DDoS attack Leading Local Search Engine (Just) Dials Open Source for a Growth Call! provided by Google News |
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