DBMS > Ehcache vs. GeoMesa vs. Heroic vs. Microsoft Azure SQL Database vs. SAP Advantage Database Server

System Properties Comparison Ehcache vs. GeoMesa vs. Heroic vs. Microsoft Azure SQL Database vs. SAP Advantage Database Server

Editorial information provided by DB-Engines

Name

Description

A widely adopted Java cache with tiered storage options

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

Database as a Service offering with high compatibility to Microsoft SQL Server

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

Primary database model

Secondary database models

Document store
Graph DBMS
Spatial DBMS

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

Score	6.47
Rank	#66	Overall
	#9	Key-value stores

Score	0.78
Rank	#199	Overall
	#3	Spatial DBMS

Score	0.22
Rank	#285	Overall
	#25	Time Series DBMS

Score	85.33
Rank	#15	Overall
	#10	Relational DBMS

Score	3.68
Rank	#91	Overall
	#47	Relational DBMS

Website

www.ehcache.org

www.geomesa.org

spotify.github.io/heroic/#!/index

azure.microsoft.com/en-us/services/sql-database

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

Technical documentation

www.ehcache.org/documentation

www.geomesa.org/documentation/stable/user/index.html

spotify.github.io/heroic/#!/docs/overview

docs.microsoft.com/en-us/azure/azure-sql

Developer

Terracotta Inc, owned by Software AG

CCRi and others

Spotify

Microsoft

Sybase, SAP

Initial release

2009

2014

2010

1993

Current release

3.9.6, September 2021

3.2.0, April 2021

V12

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

Open Source

Apache License 2.0

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Scala

Java

C++

Server operating systems

All OS with a Java VM

hosted

Linux
Windows

Data scheme

schema-free

yes

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.

yes

Secondary indexes

yes

via Elasticsearch

yes

SQL

Support of SQL

yes

APIs and other access methods

JCache

HQL (Heroic Query Language, a JSON-based language)
HTTP API

ADO.NET
JDBC
ODBC

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

Supported programming languages

Java

.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby

Delphi
Perl
PHP

Server-side scripts

Stored procedures

Transact SQL

yes

Triggers

yes

Cache Event Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

depending on storage layer

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

depending on storage layer

yes

yes, with always 3 replicas available

Multi-source replication

CONFLICT Trigger to resolve replication conflicts
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable Consistency (Strong, Eventual, Weak)

depending on storage layer

Eventual Consistency
Immediate Consistency

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using a tiered cache-storage approach

yes

In-memory capabilities

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

yes

depending on storage layer

caching of (temporary) tables can be configured

User concepts

Access control

yes

depending on the DBMS used for storage

fine grained access rights according to SQL-standard

More information provided by the system vendor

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Related products and services

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

show all

Recent citations in the news

Jira Data Center user? Here's a critical Ehcache vulnerability to spoil your day
22 July 2021, The Register

Ehcache 3.0 Released with Revamped API and Off-Heap Storage
2 May 2016, InfoQ.com

Ehcache 2.0: Write-Behind Caching and JTA Support
11 May 2010, InfoQ.com

Memcached surpasses EhCache and Coherence in Java Job Demand
13 September 2011, InfoQ.com

How to Create a Spring Boot App With Caching Enabled
1 February 2017, DZone

provided by Google News

SQL Server in Azure database choices and what they offer users
29 July 2019, TechTarget

How Microsoft made Azure SQL more available by making recovery faster
2 February 2022, TechRepublic

LaLiga transforms its marketing strategy with Microsoft and hundreds of terabytes of data
23 May 2022, Royals Blue

Microsoft's cloud-connected on-prem database: SQL Server 2022 rolls out in private preview
2 November 2021, ZDNet

Microsoft builds distributed ledger for Azure SQL database
26 May 2021, TechTarget

provided by Google News

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