DBMS > jBASE vs. OrigoDB vs. Teradata Aster vs. TigerGraph vs. YottaDB

System Properties Comparison jBASE vs. OrigoDB vs. Teradata Aster vs. TigerGraph vs. YottaDB

Editorial information provided by DB-Engines

Name

Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.

Description

A robust multi-value DBMS comprising development tools and middleware

A fully ACID in-memory object graph database

Platform for big data analytics on multistructured data sources and types

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

A fast and solid embedded Key-value store

Primary database model

Multivalue DBMS

Document store
Object oriented DBMS

Relational DBMS

Graph DBMS

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	1.41
Rank	#159	Overall
	#3	Multivalue DBMS

Score	0.00
Rank	#383	Overall
	#53	Document stores
	#20	Object oriented DBMS

Score	1.83
Rank	#139	Overall
	#13	Graph DBMS

Score	0.20
Rank	#317	Overall
	#47	Key-value stores

Website

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-jbase

origodb.com

www.tigergraph.com

yottadb.com

Technical documentation

docs.rocketsoftware.com/bundle?labelkey=jbase_5.9

origodb.com/docs

docs.tigergraph.com

yottadb.com/resources/documentation

Developer

Rocket Software (formerly Zumasys)

Robert Friberg et al

Teradata

YottaDB, LLC

Initial release

1991

2009

under the name LiveDB

2005

2017

2001

Current release

5.7

License

Commercial or Open Source

commercial

Open Source

commercial

Open Source

AGPL 3.0

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++

Server operating systems

AIX
Linux
Windows

Linux
Windows

Linux

Docker
Linux

Data scheme

schema-free

yes

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

defined schema within the relational store; partial schema or schema free in the Aster File Store

yes

schema-free

Typing

predefined data types such as float or date

optional

User defined using .NET types and collections

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

can be achieved using .NET

yes

in Aster File Store

Secondary indexes

yes

SQL

Support of SQL

Embedded SQL for jBASE in BASIC

yes

SQL-like query language (GSQL)

by using the Octo plugin

APIs and other access methods

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

.NET Client API
HTTP API
LINQ

ADO.NET
JDBC
ODBC
OLE DB

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

.Net
Basic
Jabbascript
Java

.Net

C
C#
C++
Java
Python
R

C++
Java

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

yes

R packages

yes

Triggers

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

client side managed; servers are not synchronized

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

yes

Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

SQL Map-Reduce Framework

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Foreign keys

Referential integrity

depending on model

yes

Relationships in graphs

Transaction concepts

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

ACID

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Write ahead log

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 rights can be defined down to the item level

Role based authorization

fine grained access rights according to SQL-standard

Role-based access control

Users and groups based on OS-security mechanisms

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More resources

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