DBMS > Alibaba Cloud TSDB vs. GBase vs. HBase vs. RDFox vs. Sqrrl

System Properties Comparison Alibaba Cloud TSDB vs. GBase vs. HBase vs. RDFox vs. Sqrrl

Editorial information provided by DB-Engines

Name

Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.

Description

A stable, reliable, and cost-effective online high-performance time series database service

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

Wide-column store based on Apache Hadoop and on concepts of BigTable

High performance knowledge graph and semantic reasoning engine

Adaptable, secure NoSQL built on Apache Accumulo

Primary database model

Document store
Graph DBMS
Key-value store
Wide column store

Secondary database models

Relational DBMS

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

Score	0.24
Rank	#306	Overall
	#26	Time Series DBMS

Score	1.07
Rank	#185	Overall
	#86	Relational DBMS

Score	30.50
Rank	#26	Overall
	#2	Wide column stores

Score	0.23
Rank	#308	Overall
	#25	Graph DBMS
	#14	RDF stores

Website

www.alibabacloud.com/product/hitsdb

www.gbase.cn

hbase.apache.org

www.oxfordsemantic.tech

sqrrl.com

Technical documentation

www.alibabacloud.com/help/en/time-series-database/latest/what-is-tsdb

hbase.apache.org/book.html

docs.oxfordsemantic.tech

Developer

Alibaba

General Data Technology Co., Ltd.

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Oxford Semantic Technologies

Amazon

originally Sqrrl Data, Inc.

Initial release

2004

2008

2017

2012

Current release

GBase 8a, GBase 8s, GBase 8c

2.3.4, January 2021

6.0, Septermber 2022

License

Commercial or Open Source

commercial

Open Source

Apache version 2

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, Java, Python

Java

C++

Java

Server operating systems

hosted

Linux

Linux
Unix
Windows

using Cygwin

Linux
macOS
Windows

Linux

Data scheme

schema-free

yes

schema-free, schema definition possible

yes

RDF schemas

schema-free

Typing

predefined data types such as float or date

Numeric data and Strings

yes

options to bring your own types, AVRO

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

Standard with numerous extensions

APIs and other access methods

HTTP REST

ADO.NET
C API
JDBC
ODBC

Java API
RESTful HTTP API
Thrift

RESTful HTTP API
SPARQL 1.1

Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift

Supported programming languages

Java

C
C#
C++
Groovy
Java
PHP
Python
Scala

C
Java

Actionscript
C

using GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk

Server-side scripts

Stored procedures

user defined functions

yes

Coprocessors in Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash) and vertical partitioning

Sharding

making use of Hadoop

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication
Source-replica replication

replication via a shared file system

selectable replication factor

making use of Hadoop

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

Immediate Consistency

Document store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Single row ACID (across millions of columns)

ACID

Atomic updates per row, document, or graph entity

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

Access managed on TSDB instance level

yes

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

Roles, resources, and access types

Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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