DBMS > Amazon DynamoDB vs. Apache Phoenix vs. Google Cloud Datastore vs. OceanBase vs. PostgreSQL
System Properties Comparison Amazon DynamoDB vs. Apache Phoenix vs. Google Cloud Datastore vs. OceanBase vs. PostgreSQL
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Name | Amazon DynamoDB Xexclude from comparison | Apache Phoenix Xexclude from comparison | Google Cloud Datastore Xexclude from comparison | OceanBase Xexclude from comparison | PostgreSQL Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | Hosted, scalable database service by Amazon with the data stored in Amazons cloud | A scale-out RDBMS with evolutionary schema built on Apache HBase | Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform | 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Document store Key-value store | Relational DBMS | Document 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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/dynamodb | phoenix.apache.org | cloud.google.com/datastore | en.oceanbase.com | www.postgresql.org | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | docs.aws.amazon.com/dynamodb | phoenix.apache.org | cloud.google.com/datastore/docs | en.oceanbase.com/docs/oceanbase-database | www.postgresql.org/docs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Amazon | Apache Software Foundation | OceanBase previously Alibaba and Ant Group | PostgreSQL Global Development Group www.postgresql.org/developer | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2012 | 2014 | 2008 | 2010 | 1989 1989: Postgres, 1996: PostgreSQL | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 5.0-HBase2, July 2018 and 4.15-HBase1, December 2019 | 4.3.0, April 2024 | 16.3, May 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | commercial free tier for a limited amount of database operations | Open Source Apache Version 2.0 | commercial | Open Source Commercial license available | Open Source BSD | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | yes | no | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementation language | Java | C++ | C | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | hosted | Linux Unix Windows | hosted | Linux | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | yes late-bound, schema-on-read capabilities | schema-free | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | yes | yes, details here | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | no | yes | yes specific XML-type available, but no XML query functionality. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | no | yes | SQL-like query language (GQL) | yes | yes standard with numerous extensions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | RESTful HTTP API | JDBC | gRPC (using protocol buffers) API RESTful HTTP/JSON API | 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | .Net ColdFusion Erlang Groovy Java JavaScript Perl PHP Python Ruby | C C# C++ Go Groovy Java PHP Python Scala | .Net Go Java JavaScript (Node.js) PHP Python Ruby | 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | no | user defined functions | using Google App Engine | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes by integration with AWS Lambda | no | Callbacks using the Google Apps Engine | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Sharding | Sharding | Sharding | horizontal partitioning (by hash, key, range, range columns, list, and list columns) | partitioning by range, list and (since PostgreSQL 11) by hash | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | yes | Multi-source replication Source-replica replication | Multi-source replication using Paxos | Multi-source replication using Paxos | Source-replica replication other methods possible by using 3rd party extensions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | no may be implemented via Amazon Elastic MapReduce (Amazon EMR) | Hadoop integration | yes using Google Cloud Dataflow | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency Immediate Consistency can be specified for read operations | Immediate Consistency or Eventual Consistency | Immediate Consistency or Eventual Consistency depending on type of query and configuration Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent. | Immediate Consistency | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | no | yes via ReferenceProperties or Ancestor paths | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID ACID across one or more tables within a single AWS account and region | ACID | ACID Serializable Isolation within Transactions, Read Committed outside of Transactions | ACID | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM) | Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy | Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM) | Access rights for users, groups and roles according to SQL-standard | fine grained access rights according to SQL-standard | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Amazon DynamoDB | Apache Phoenix | Google Cloud Datastore | OceanBase | PostgreSQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | OceanBase Database is the world’s only native distributed database that has set new... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | High Availability : The five IDCs across three sites disaster recovery solution sets... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | OceanBase Database has helped over 400 customers across industries upgrade their... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | TPC-C No.1 Performance , achieved a result of 707.35 million tpmC in the TPC-C benchmark... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | Mulan PubL v2 license for open source community edition. Commercial license for enterprise... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Amazon DynamoDB | Apache Phoenix | Google Cloud Datastore | OceanBase | PostgreSQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Cloud-based DBMS's popularity grows at high rates The popularity of cloud-based DBMSs has increased tenfold in four years Increased popularity for consuming DBMS services out of the cloud | Cloudera's HBase PaaS offering now supports Complex Transactions | 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 Monitoring PostgreSQL with Redgate Monitor Uber Migrates 1 Trillion Records from DynamoDB to LedgerStore to Save $6 Million Annually Freecharge lowered their identity management system cost and improved scaling by switching to Amazon DynamoDB ... Using the circuit-breaker pattern with AWS Lambda extensions and Amazon DynamoDB | Amazon Web Services Migrating Uber's Ledger Data from DynamoDB to LedgerStore Zendesk Moves from DynamoDB to MySQL and S3 to Save over 80% in Costs provided by Google News Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services Bridge the SQL-NoSQL gap with Apache Phoenix Hortonworks Starts Hadoop Summit with Data Platform Update -- ADTmag Amazon EMR 4.7.0 – Apache Tez & Phoenix, Updates to Existing Apps | Amazon Web Services Suspects in violent Payson casino robbery were employees, FBI says provided by Google News Google Cloud Stops Exit Fees BigID Data Intelligence Platform Now Available on Google Cloud Marketplace Inside Google’s strategic move to eliminate customer cloud data transfer fees Best cloud storage of 2024 What is Google App Engine? | Definition from TechTarget provided by Google News OceanBase Inks Agreement with NTU Singapore in Database Optimization and Green Computing Advancements Ant Group Will Cut Foreign Investors Out of Fast-Growing Database Business How Southeast Asia's Leading e-Wallets Saved Up to 40% in Database Costs - Fintech Singapore Haidilao’s 6-step recipe for successful digital transformation with OceanBase Alibaba's OceanBase distributed database aims at markets outside China provided by Google News Let PostgreSQL Pick An Index For You Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda | Amazon ... Introducing OCI Database with PostgreSQL: Completing Our Cloud Database Suite for Every Need ServiceNow trades MariaDB for RaptorDB (PostgreSQL) General availability: Microsoft Entra ID integration with Azure Cosmos DB for PostgreSQL | Azure updates provided by Google News |
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