DBMS > Ehcache vs. Heroic vs. Impala vs. SAP Advantage Database Server

System Properties Comparison Ehcache vs. Heroic vs. Impala vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines

Name

Description

A widely adopted Java cache with tiered storage options

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

Analytic DBMS for Hadoop

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

Primary database model

Key-value store

Time Series DBMS

Relational DBMS

Secondary database models

Document store

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

Score	6.54
Rank	#64	Overall
	#8	Key-value stores

Score	0.25
Rank	#280	Overall
	#22	Time Series DBMS

Score	17.79
Rank	#40	Overall
	#25	Relational DBMS

Score	3.66
Rank	#91	Overall
	#48	Relational DBMS

Website

www.ehcache.org

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

www.cloudera.com/products/open-source/apache-hadoop/impala.html

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

Technical documentation

www.ehcache.org/documentation

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

docs.cloudera.com/documentation/enterprise/latest/topics/impala.html

Developer

Terracotta Inc, owned by Software AG

Spotify

Cloudera

Sybase, SAP

Initial release

2009

2014

2013

1993

Current release

3.9.6, September 2021

4.0.0, July 2021

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

Open Source

Apache 2.0

Open Source

Apache Version 2

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

C++

Server operating systems

All OS with a Java VM

Linux

Linux
Windows

Data scheme

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

via Elasticsearch

yes

SQL

Support of SQL

SQL-like DML and DDL statements

yes

APIs and other access methods

JCache

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

JDBC
ODBC

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

Supported programming languages

Java

All languages supporting JDBC/ODBC

Delphi
Perl
PHP

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

yes

Triggers

yes

Cache Event Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

yes

selectable replication factor

Multi-source replication

CONFLICT Trigger to resolve replication conflicts
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable Consistency (Strong, Eventual, Weak)

Eventual Consistency
Immediate Consistency

Eventual 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

caching of (temporary) tables can be configured

User concepts

Access control

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

fine grained access rights according to SQL-standard

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More resources

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

Setting Up Distributed Infinispan Cache with Hibernate and Spring
26 May 2016, dzone.com

Java deserialization vulnerabilities explained and how to defend against them
26 August 2021, CSO Online

provided by Google News

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

Man Busts Out of Google, Rebuilds Top-Secret Query Machine
24 October 2012, WIRED

News from O'Reilly Strata Conference + Hadoop World 2012: Azure HDInsight, Cloudera Impala, MapR M7
29 October 2012, InfoQ.com

How to add a data source to Redash
5 April 2022, TechRepublic

provided by Google News

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