DBMS > Blueflood vs. SAP SQL Anywhere vs. Teradata

System Properties Comparison Blueflood vs. SAP SQL Anywhere vs. Teradata

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Editorial information provided by DB-Engines

Name

Description

Scalable TimeSeries DBMS based on Cassandra

RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments

A hybrid cloud data analytics software platform (Teradata Vantage)

Primary database model

Time Series DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS
Time Series DBMS

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

Score	0.11
Rank	#277	Overall
	#21	Time Series DBMS

Score	5.40
Rank	#59	Overall
	#32	Relational DBMS

Score	78.49
Rank	#15	Overall
	#10	Relational DBMS

Website

blueflood.io

www.sap.com/products/sql-anywhere.html

www.teradata.com

Technical documentation

github.com/rackerlabs/blueflood/wiki

help.sap.com/sql-anywhere

docs.teradata.com

Developer

Rackspace

SAP

formerly Sybase

Teradata

Initial release

2013

1992

1984

Current release

17, July 2015

Teradata Vantage 1.0 MU2, January 2019

License

Commercial or Open Source

Open Source info

Apache 2.0

commercial

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

Java

Server operating systems

Linux
OS X

AIX
HP-UX
Linux
OS X
Solaris
Windows

hosted
Linux

Data scheme

predefined scheme

yes

Typing

predefined data types such as float or date

yes

XML support info

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

Join-index to prejoin tables, aggregate index, sparse index, hash index

SQL

Support of SQL

yes

SQL 2016 + extensions

APIs and other access methods

HTTP REST

ADO.NET
HTTP API
JDBC
ODBC

.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB

Supported programming languages

C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby

Server-side scripts info

Stored procedures

yes, in C/C++, Java, .Net or Perl

yes

UDFs, stored procedures, table functions in parallel

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

based on Cassandra

none

Sharding

Hashing

Replication methods info

Methods for redundantly storing data on multiple nodes

selectable replication factor info

based on Cassandra

Master-slave replication info

Database mirroring

Master-master replication
Master-slave replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency info

based on Cassandra
Immediate Consistency info

based on Cassandra

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

User concepts info

Access control

fine grained access rights according to SQL-standard

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