DBMS > Dolt vs. PostgreSQL vs. ScyllaDB
System Properties Comparison Dolt vs. PostgreSQL vs. ScyllaDB
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|Editorial information provided by DB-Engines|
|Name||Dolt Xexclude from comparison||PostgreSQL Xexclude from comparison||ScyllaDB Xexclude from comparison|
|Description||A MySQL compatible DBMS with Git-like versioning of data and schema||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Cassandra and DynamoDB compatible wide column store|
|Primary database model||Relational DBMS||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Wide column store|
|Secondary database models||Document store||Document store|
Graph DBMS with Apache Age
Vector DBMS with pgvector extension
|Developer||DoltHub Inc||PostgreSQL Global Development Group www.postgresql.org/developer||ScyllaDB|
|Initial release||2018||1989 1989: Postgres, 1996: PostgreSQL||2015|
|Current release||16.0, September 2023||ScyllaDB Open Source 5.0, July 2022|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source BSD||Open Source Open Source (AGPL), commercial license available|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Aiven for PostgreSQL: Fully managed and hosted PostgreSQL® with 70+ extensions and orchestration tooling included.||Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS|
|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes||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||yes specific XML-type available, but no XML query functionality.||no|
|Secondary indexes||yes||yes||yes cluster global secondary indices|
|SQL Support of SQL||yes||yes standard with numerous extensions||SQL-like DML and DDL statements (CQL)|
|APIs and other access methods||CLI Client|
native C library
streaming API for large objects
|Proprietary protocol (CQL) compatible with CQL (Cassandra Query Language, an SQL-like language)|
RESTful HTTP API (DynamoDB compatible)
|Supported programming languages||Ada|
|Server-side scripts Stored procedures||yes currently in alpha release||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||yes, Lua|
|Partitioning methods Methods for storing different data on different nodes||none||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.||Source-replica replication other methods possible by using 3rd party extensions||selectable replication factor Representation of geographical distribution of servers is possible|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
Tunable Consistency can be individually decided for each write operation
|Foreign keys Referential integrity||yes||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||no Atomicity and isolation are supported for single operations|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes in-memory tables|
|User concepts Access control||Only one user is configurable, and must be specified in the config file at startup||fine grained access rights according to SQL-standard||Access rights for users can be defined per object|
|More information provided by the system vendor|
|Specific characteristics||ScyllaDB is the database for data-intensive apps that require high performance and...|
|Competitive advantages||Highly-performant (efficiently utilizes full resources of a node and network; millions...|
|Typical application scenarios||ScyllaDB is ideal for applications that require high throughput and low latency at...|
|Key customers||Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...|
|Market metrics||ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...|
|Licensing and pricing models||ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||Datasentinel: Platform for Monitoring and Analyzing the performance problems of your PostgreSQL Clusters|
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
Fujitsu Enterprise Postgres: An Enterprise Grade PostgreSQL with the flexibility of a hybrid cloud solution combined with industry leading security, availability and performance.
Redgate webinars: A series of key topics for new PostgreSQL users.
Instaclustr: Fully Hosted & Managed PostgreSQL
pgDash: In-Depth PostgreSQL Monitoring.
Timescale: Calling all PostgreSQL users – the 2023 State of PostgreSQL survey is now open! Share your favorite extensions, preferred frameworks, community experiences, and more. Take the survey today!
Aiven for PostgreSQL: The familiar open source PostgreSQL® that you know and love, with no proprietary features or add-ons that will lock you in.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
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