DBMS > Greenplum vs. Redis vs. SAP SQL Anywhere

System Properties Comparison Greenplum vs. Redis vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines

Name

Description

Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database info

A logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.

In-memory data structure store, used as database, cache and message broker info

Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.

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

Primary database model

Relational DBMS

Key-value store info

Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence

Relational DBMS

Secondary database models

Document store

Document store info

with Redis Modules
Graph DBMS info

with Redis Modules
Search engine info

with Redis Modules
Time Series DBMS info

with Redis Modules

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

Score	11.60
Rank	#39	Overall
	#24	Relational DBMS

Score	145.64
Rank	#8	Overall
	#1	Key-value stores

Score	6.33
Rank	#54	Overall
	#31	Relational DBMS

Website

pivotal.io/pivotal-greenplum

redis.io

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

Technical documentation

gpdb.docs.pivotal.io

redis.io/documentation

help.sap.com/sql-anywhere

Developer

Pivotal Software Inc.

Salvatore Sanfilippo info

Development sponsored by Redis Labs

SAP

formerly Sybase

Initial release

2005

2009

1992

Current release

6.7.1, April 2020

6.0.1, May 2020

17, July 2015

License

Commercial or Open Source

Open Source info

Apache 2.0

Open Source info

BSD 3-Clause, commercial license available

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

Server operating systems

Linux

BSD
Linux
OS X
Windows info

ported and maintained by Microsoft Open Technologies, Inc.

AIX
HP-UX
Linux
OS X
Solaris
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

partial

Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes

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

since Version 4.2

yes

Secondary indexes

yes

with RediSearch module

yes

SQL

Support of SQL

yes

APIs and other access methods

JDBC
ODBC

proprietary protocol info

RESP - REdis Serialization Protocol

ADO.NET
HTTP API
JDBC
ODBC

Supported programming languages

C
Java
Perl
Python
R

C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic

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

Server-side scripts info

Stored procedures

yes

Lua

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

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

none

Replication methods info

Methods for redundantly storing data on multiple nodes

Master-slave replication

Master-slave replication info

Chained replication is supported
Multi-master replication info

with Redis Enterprise Pack

Master-slave replication info

Database mirroring

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Strong eventual consistency with CRDTs

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

ACID

Optimistic locking, atomic execution of commands blocks and scripts

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Data access is serialized by the server

yes

Durability info

Support for making data persistent

yes

Configurable mechanisms for persistency via snapshots and/or operations logs

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

Simple password-based access control info

Access control lists and SSL are available in the commercial version

fine grained access rights according to SQL-standard

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