DBMS > AntDB vs. Databend vs. GeoSpock vs. Oracle Rdb

System Properties Comparison AntDB vs. Databend vs. GeoSpock vs. Oracle Rdb

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Editorial information provided by DB-Engines

Name

GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.

Description

A scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with Oracle

An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexity

Spatial and temporal data processing engine for extreme data scale

Primary database model

Relational DBMS

Secondary database models

Time Series DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.25
Rank	#303	Overall
	#137	Relational DBMS

Score	0.30
Rank	#287	Overall
	#130	Relational DBMS

Score	1.08
Rank	#184	Overall
	#85	Relational DBMS

Website

www.asiainfo.com/en_us/product_aisware_antdb_detail.html

github.com/datafuselabs/databend
www.databend.com

geospock.com

www.oracle.com/database/technologies/related/rdb.html

Technical documentation

docs.databend.com

www.oracle.com/database/technologies/related/rdb-doc.html

Developer

AsiaInfo Technologies Limited

Databend Labs

GeoSpock

Oracle, originally developed by Digital Equipment Corporation (DEC)

Initial release

2021

1984

Current release

1.0.59, April 2023

2.0, September 2019

7.4.1.1, 2021

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Rust

Java, Javascript

Server operating systems

hosted
Linux
macOS

hosted

HP Open VMS

Data scheme

yes

Flexible Schema (defined schema, partial schema, schema free)

Typing

predefined data types such as float or date

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.

Secondary indexes

yes

temporal, categorical

yes

SQL

Support of SQL

SQL2016 compliant

yes

ANSI SQL for query only (using Presto)

yes

APIs and other access methods

JDBC
MySQL protocol compliant
ODBC

CLI Client
JDBC
RESTful HTTP API

JDBC

Supported programming languages

Go
Java
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Automatic sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

yes

yes, on a single node

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Users with fine-grained authorization concept, user roles

Access rights for users can be defined per table

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More resources

DB-Engines blog posts

AntDB: Answer to Database Evolution - Hyperconverged All-in-One Streaming Engine
22 June 2023, Bei Mo, AntDB (sponsor)

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