DBMS > Ehcache vs. HarperDB vs. SAP Advantage Database Server vs. SpatiaLite vs. VelocityDB

System Properties Comparison Ehcache vs. HarperDB vs. SAP Advantage Database Server vs. SpatiaLite vs. VelocityDB

Editorial information provided by DB-Engines

Name

SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

A widely adopted Java cache with tiered storage options

Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.

Low-cost RDBMS with access to ISAM and FoxPro data structures

Spatial extension of SQLite

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

Primary database model

Graph DBMS
Object oriented DBMS

Secondary database models

Relational DBMS

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

Score	4.89
Rank	#67	Overall
	#8	Key-value stores

Score	0.55
Rank	#248	Overall
	#38	Document stores

Score	1.60
Rank	#149	Overall
	#3	Spatial DBMS

Score	0.05
Rank	#358	Overall
	#36	Graph DBMS
	#16	Object oriented DBMS

Website

www.ehcache.org

www.harperdb.io

www.sap.com/products/advantage-database-server.html

www.gaia-gis.it/fossil/libspatialite/index

velocitydb.com

Technical documentation

www.ehcache.org/documentation

docs.harperdb.io/docs

www.gaia-gis.it/gaia-sins/spatialite_topics.html

velocitydb.com/UserGuide

Developer

Terracotta Inc, owned by Software AG

HarperDB

Sybase, SAP

Alessandro Furieri

VelocityDB Inc

Initial release

2009

2017

1993

2008

2011

Current release

3.10.0, March 2022

3.1, August 2021

5.0.0, August 2020

7.x

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

commercial

free community edition available

commercial

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

commercial

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

Java

Node.js

C++

Server operating systems

All OS with a Java VM

Linux
OS X

Linux
Windows

server-less

Any that supports .NET

Data scheme

schema-free

dynamic schema

yes

Typing

predefined data types such as float or date

yes

JSON data types

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

SQL-like data manipulation statements

yes

APIs and other access methods

JCache

JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

.Net

Supported programming languages

Java

.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift

Delphi
Perl
PHP

.Net

Server-side scripts

Stored procedures

Custom Functions

since release 3.1

yes

Triggers

yes

Cache Event Listeners

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

A table resides as a whole on one (or more) nodes in a cluster

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

yes

the nodes on which a table resides can be defined

Multi-source replication

CONFLICT Trigger to resolve replication conflicts
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable Consistency (Strong, Eventual, Weak)

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

supports JTA and can work as an XA resource

Atomic execution of specific operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using a tiered cache-storage approach

yes, using LMDB

yes

In-memory capabilities

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

yes

caching of (temporary) tables can be configured

yes

User concepts

Access control

Access rights for users and roles

fine grained access rights according to SQL-standard

Based on Windows Authentication

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More resources

DB-Engines blog posts

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