DBMS > Apache Phoenix vs. Immudb vs. Memcached vs. SAP HANA

System Properties Comparison Apache Phoenix vs. Immudb vs. Memcached vs. SAP HANA

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Editorial information provided by DB-Engines

Name

Description

A scale-out RDBMS with evolutionary schema built on Apache HBase

An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.

In-memory key-value store, originally intended for caching

In-memory, column based data store. Available as appliance or cloud service

Primary database model

Relational DBMS

Key-value store

Relational DBMS

Secondary database models

Relational DBMS

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	1.90
Rank	#125	Overall
	#59	Relational DBMS

Score	0.24
Rank	#295	Overall
	#42	Key-value stores

Score	16.84
Rank	#32	Overall
	#4	Key-value stores

Score	41.32
Rank	#23	Overall
	#16	Relational DBMS

Website

phoenix.apache.org

github.com/codenotary/immudb
immudb.io

www.memcached.org

www.sap.com/products/hana.html

Technical documentation

phoenix.apache.org

docs.immudb.io

github.com/memcached/memcached/wiki

help.sap.com/hana

Developer

Apache Software Foundation

Codenotary

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

SAP

Initial release

2014

2020

2003

2010

Current release

5.0-HBase2, July 2018 and 4.15-HBase1, December 2019

1.2.3, April 2022

1.6.29, June 2024

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache Version 2.0

Open Source

BSD license

commercial

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

Linux
Unix
Windows

BSD
Linux
macOS
Solaris
Windows
z/OS

FreeBSD
Linux
OS X
Unix
Windows

Appliance or cloud-service

Data scheme

yes

late-bound, schema-on-read capabilities

schema-free

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.

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like syntax

yes

APIs and other access methods

JDBC

gRPC protocol
PostgreSQL wire protocol

Proprietary protocol

JDBC
ODBC

Supported programming languages

C
C#
C++
Go
Groovy
Java
PHP
Python
Scala

.Net
Go
Java
JavaScript (Node.js)
Python

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

yes

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

none

Repcached, a Memcached patch, provides this functionallity

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

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 Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy

yes

using SASL (Simple Authentication and Security Layer) protocol

yes

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