DBMS > Ehcache vs. GeoMesa vs. Heroic vs. SAP Advantage Database Server vs. TigerGraph

System Properties Comparison Ehcache vs. GeoMesa vs. Heroic vs. SAP Advantage Database Server vs. TigerGraph

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

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

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

Primary database model

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	3.68
Rank	#91	Overall
	#47	Relational DBMS

Score	2.24
Rank	#121	Overall
	#9	Graph DBMS

Website

www.ehcache.org

www.geomesa.org

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

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

www.tigergraph.com

Technical documentation

www.ehcache.org/documentation

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

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

docs.tigergraph.com

Developer

Terracotta Inc, owned by Software AG

CCRi and others

Spotify

Sybase, SAP

Initial release

2009

2014

1993

2017

Current release

3.9.6, September 2021

3.2.0, April 2021

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

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

Linux
Windows

Linux

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.

Secondary indexes

yes

via Elasticsearch

yes

SQL

Support of SQL

yes

SQL-like query language (GSQL)

APIs and other access methods

JCache

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

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

Supported programming languages

Java

Delphi
Perl
PHP

C++
Java

Server-side scripts

Stored procedures

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

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

Relationships in graphs

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

Role-based access control

More information provided by the system vendor

Specific characteristics

TigerGraph is a native graph database, with massively parallel processing and fully...
» more

Competitive advantages

TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more

Typical application scenarios

Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more

Key customers

Four out of the top five global banks use TigerGraph for real-time fraud detection....
» more

Market metrics

ANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
» more

Licensing and pricing models

Try TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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

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

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

Terabyte-sized Java apps now possible
22 July 2010, InfoWorld

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

provided by Google News

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11 May 2022, GlobeNewswire

TigerGraph Releases New Benchmark Report
20 April 2022, Datanami

What do graph database benchmarks mean for enterprises?
11 May 2022, VentureBeat

provided by Google News

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