DBMS > Altibase vs. FeatureBase vs. Snowflake vs. SpaceTime

System Properties Comparison Altibase vs. FeatureBase vs. Snowflake vs. SpaceTime

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.

Cloud-based data warehousing service for structured and semi-structured data

SpaceTime is a spatio-temporal DBMS with a focus on performance.

Primary database model

Relational DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	1.07
Rank	#186	Overall
	#87	Relational DBMS

Score	0.22
Rank	#309	Overall
	#139	Relational DBMS

Score	121.33
Rank	#9	Overall
	#6	Relational DBMS

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Website

altibase.com

www.featurebase.com

www.snowflake.com

www.mireo.com/spacetime

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

docs.featurebase.com

docs.snowflake.net/manuals/index.html

Developer

Altibase

Molecula and Pilosa Open Source Contributors

Snowflake Computing Inc.

Mireo

Initial release

1999

2017

2014

2020

Current release

v7.3, 2023, August 2023

2022, May 2022

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

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

C++

Server operating systems

AIX
HP-UX
Linux

Linux
macOS

hosted

Linux

Data scheme

yes

support of semi-structured data formats (JSON, XML, Avro)

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.

yes

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

SQL queries

yes

A subset of ANSI SQL is implemented

APIs and other access methods

JDBC
ODBC
Proprietary protocol

gRPC
JDBC
Kafka Connector
ODBC

CLI Client
JDBC
ODBC

RESTful HTTP API

Supported programming languages

C
C++
Java

Java
Python

JavaScript (Node.js)
Python

C#
C++
Python

Server-side scripts

Stored procedures

stored procedures and stored functions

user defined functions

Triggers

yes

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

Fixed-grid hypercubes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Real-time block device replication (DRBD)

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, using Linux fsync

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

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept, user roles and pluggable authentication

yes

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