DBMS > AntDB vs. eXtremeDB vs. SingleStore

System Properties Comparison AntDB vs. eXtremeDB vs. SingleStore

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Editorial information provided by DB-Engines

Name

Description

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

Natively in-memory DBMS with options for persistency, high-availability and clustering

MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type

Primary database model

Relational DBMS

Relational DBMS
Time Series DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS
Time Series DBMS
Vector DBMS

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

Score	0.03
Rank	#359	Overall
	#150	Relational DBMS

Score	0.88
Rank	#196	Overall
	#92	Relational DBMS
	#17	Time Series DBMS

Score	3.93
Rank	#69	Overall
	#37	Relational DBMS

Website

www.asiainfo.com/en_us/product_aisware_antdb_detail.html

www.mcobject.com

www.singlestore.com

Technical documentation

www.mcobject.com/docs/extremedb.htm

docs.singlestore.com

Developer

AsiaInfo Technologies Limited

McObject

SingleStore Inc.

Initial release

2001

2013

Current release

8.2, 2021

8.5, January 2024

License

Commercial or Open Source

commercial

free developer edition available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C and C++

C++, Go

Server operating systems

AIX
HP-UX
Linux
macOS
Solaris
Windows

Linux

64 bit version required

Data scheme

yes

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.

support of XML interfaces available

Secondary indexes

yes

SQL

Support of SQL

SQL2016 compliant

yes

with the option: eXtremeSQL

yes

but no triggers and foreign keys

APIs and other access methods

JDBC
MySQL protocol compliant
ODBC

.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API

Cluster Management API

as HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC

Supported programming languages

.Net
C
C#
C++
Java
Lua
Python
Scala

Bash
C
C#
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

by defining events

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning / sharding

Sharding

hash partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Active Replication Fabric™ for IoT
Multi-source replication

by means of eXtremeDB Cluster option
Source-replica replication

by means of eXtremeDB High Availability option

Source-replica replication

stores two copies of each physical data partition on two separate nodes

MapReduce

Offers an API for user-defined Map/Reduce methods

can define user-defined aggregate functions for map-reduce-style calculations

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

Concurrency

Support for concurrent manipulation of data

yes

Optimistic (MVCC) and pessimistic (locking) strategies available

yes, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes

All updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.

In-memory capabilities

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

yes

User concepts

Access control

Fine grained access control via users, groups and roles

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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)

show all

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022, Akmal Chaudhri, SingleStore (sponsor)

Cloud-Based Analytics With SingleStoreDB
9 June 2022, Akmal Chaudhri, SingleStore (sponsor)

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022, Akmal Chaudhri, SingleStore (sponsor)

show all

Recent citations in the news

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Latest embedded DBMS supports asymmetric multiprocessing systems
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SingleStore Appoints Nadeem Asghar as Chief Technology Officer
17 April 2025, citybiz

SingleStore's BryteFlow acquisition targets data integration
3 October 2024, TechTarget

SingleStore Acquires BryteFlow to Accelerate Adoption of Real-Time Analytics, GenAI
3 October 2024, Business Wire

Announcing watsonx.ai and SingleStore for generative AI applications
16 October 2024, IBM

SingleStore acquires BryteFlow to boost data ingestion capabilities
3 October 2024, InfoWorld

provided by Google News

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